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@jpoles1/statpearls-mcp | StatPearls Medical Knowledge Server | Provide your AI system with reliable, peer-reviewed medical information about diseases and conditions. Search and retrieve comprehensive medical content from StatPearls, formatted in AI-friendly Markdown. Enhance your AI conversations with trusted medical knowledge seamlessly integrated via the Model Context Protocol. | 2025-05-02T02:16:32.415Z | 1 | https://smithery.ai/server/@jpoles1/statpearls-mcp | true | null | {
"scanPassed": true
} | [{'name': 'statpearls_disease_info', 'description': 'Fetches comprehensive, reliable medical information about diseases from StatPearls, a trusted source of peer-reviewed medical content. Use this tool to get detailed information about diseases, conditions, symptoms, treatments, and medical concepts. Returns structured information including etiology, epidemiology, pathophysiology, clinical features, diagnosis, treatment, and prognosis when available.', 'inputSchema': {'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'description': "Disease or medical condition to search for (e.g., 'diabetes', 'hypertension', 'alzheimer')"}, 'format_options': {'type': 'object', 'properties': {'maxLength': {'type': 'number', 'default': 50000, 'description': 'Maximum length of the returned content in characters'}, 'includeToc': {'type': 'boolean', 'default': True, 'description': 'Whether to include a table of contents'}}, 'description': 'Optional formatting preferences'}}}}] |
@gdli6177/mcp-prompt-server | Prompt Server | Provide preset prompt templates as tools to help users efficiently perform various tasks such as code review, API documentation generation, and code refactoring. Enable dynamic parameter replacement for flexible prompt usage and allow developers to easily add or modify prompt templates. Optimize integration with editors like Cursor and Windsurf for a seamless user experience. | 2025-04-26T13:00:48.871Z | 0 | https://smithery.ai/server/@gdli6177/mcp-prompt-server | true | null | null | [{'name': 'api_documentation', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'format'], 'properties': {'code': {'type': 'string', 'description': '要生成文档的API代码'}, 'format': {'type': 'string', 'description': '文档格式(markdown/html/jsdoc等)'}, 'language': {'type': 'string', 'description': '编程语言'}}, 'additionalProperties': False}}, {'name': 'build_mcp_server', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'code_refactoring', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'focus_areas'], 'properties': {'code': {'type': 'string', 'description': '要重构的代码'}, 'language': {'type': 'string', 'description': '编程语言'}, 'focus_areas': {'type': 'string', 'description': '重点关注的重构领域(如性能、可读性、模块化等)'}}, 'additionalProperties': False}}, {'name': 'code_review', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code'], 'properties': {'code': {'type': 'string', 'description': '要审查的代码'}, 'language': {'type': 'string', 'description': '编程语言'}}, 'additionalProperties': False}}, {'name': 'project_architecture', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['project_type', 'technologies', 'features'], 'properties': {'features': {'type': 'string', 'description': '项目主要功能和特性'}, 'project_type': {'type': 'string', 'description': '项目类型(如Web应用、移动应用、API服务等)'}, 'technologies': {'type': 'string', 'description': '使用的技术栈(如React, Node.js, Python等)'}}, 'additionalProperties': False}}, {'name': 'prompt_template_generator', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['prompt_name', 'prompt_description', 'task_type'], 'properties': {'task_type': {'type': 'string', 'description': '任务类型（如代码生成、文档编写、数据分析等）'}, 'prompt_name': {'type': 'string', 'description': '新prompt的名称（唯一标识符）'}, 'prompt_description': {'type': 'string', 'description': '对prompt功能的描述'}}, 'additionalProperties': False}}, {'name': 'test_case_generator', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'test_framework'], 'properties': {'code': {'type': 'string', 'description': '要测试的代码'}, 'language': {'type': 'string', 'description': '编程语言'}, 'test_framework': {'type': 'string', 'description': '测试框架(如Jest, Pytest, JUnit等)'}}, 'additionalProperties': False}}, {'name': 'writing_assistant', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['draft', 'platform'], 'properties': {'draft': {'type': 'string', 'description': '用户提供的草稿内容'}, 'platform': {'type': 'string', 'description': '目标平台（如公众号、小红书、推特等）'}}, 'additionalProperties': False}}, {'name': 'reload_prompts', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'get_prompt_names', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}] |
@gdli6177/mcp-prompt-server | Prompt Server | Provide preset prompt templates as tools to help users efficiently perform various tasks such as code review, API documentation generation, and code refactoring. Enable dynamic parameter replacement for flexible prompt usage and allow developers to easily add or modify prompt templates. Optimize integration with editors like Cursor and Windsurf for a seamless user experience. | 2025-04-26T13:00:48.871Z | 0 | https://smithery.ai/server/@gdli6177/mcp-prompt-server | true | null | null | [{'name': 'api_documentation', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'format'], 'properties': {'code': {'type': 'string', 'description': '要生成文档的API代码'}, 'format': {'type': 'string', 'description': '文档格式(markdown/html/jsdoc等)'}, 'language': {'type': 'string', 'description': '编程语言'}}, 'additionalProperties': False}}, {'name': 'build_mcp_server', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'code_refactoring', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'focus_areas'], 'properties': {'code': {'type': 'string', 'description': '要重构的代码'}, 'language': {'type': 'string', 'description': '编程语言'}, 'focus_areas': {'type': 'string', 'description': '重点关注的重构领域(如性能、可读性、模块化等)'}}, 'additionalProperties': False}}, {'name': 'code_review', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code'], 'properties': {'code': {'type': 'string', 'description': '要审查的代码'}, 'language': {'type': 'string', 'description': '编程语言'}}, 'additionalProperties': False}}, {'name': 'project_architecture', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['project_type', 'technologies', 'features'], 'properties': {'features': {'type': 'string', 'description': '项目主要功能和特性'}, 'project_type': {'type': 'string', 'description': '项目类型(如Web应用、移动应用、API服务等)'}, 'technologies': {'type': 'string', 'description': '使用的技术栈(如React, Node.js, Python等)'}}, 'additionalProperties': False}}, {'name': 'prompt_template_generator', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['prompt_name', 'prompt_description', 'task_type'], 'properties': {'task_type': {'type': 'string', 'description': '任务类型（如代码生成、文档编写、数据分析等）'}, 'prompt_name': {'type': 'string', 'description': '新prompt的名称（唯一标识符）'}, 'prompt_description': {'type': 'string', 'description': '对prompt功能的描述'}}, 'additionalProperties': False}}, {'name': 'test_case_generator', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'test_framework'], 'properties': {'code': {'type': 'string', 'description': '要测试的代码'}, 'language': {'type': 'string', 'description': '编程语言'}, 'test_framework': {'type': 'string', 'description': '测试框架(如Jest, Pytest, JUnit等)'}}, 'additionalProperties': False}}, {'name': 'writing_assistant', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['draft', 'platform'], 'properties': {'draft': {'type': 'string', 'description': '用户提供的草稿内容'}, 'platform': {'type': 'string', 'description': '目标平台（如公众号、小红书、推特等）'}}, 'additionalProperties': False}}, {'name': 'reload_prompts', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'get_prompt_names', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}] |
@amitdeshmukh/stdout-mcp-server | stdout-mcp-server | Capture and manage application logs in real-time. Monitor multiple processes and analyze logs efficiently through a standardized interface. Enhance your debugging experience with easy log retrieval and filtering capabilities. | 2025-04-06T05:01:11.869Z | 0 | https://smithery.ai/server/@amitdeshmukh/stdout-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'get-logs', 'description': 'Retrieve logs from the named pipe with optional filtering', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'lines': {'type': 'number', 'default': 50, 'description': 'Number of log lines to return'}, 'since': {'type': 'number', 'description': 'Timestamp to get logs after'}, 'filter': {'type': 'string', 'description': 'Text to filter logs by'}}, 'additionalProperties': False}}] |
@amitdeshmukh/stdout-mcp-server | stdout-mcp-server | Capture and manage application logs in real-time. Monitor multiple processes and analyze logs efficiently through a standardized interface. Enhance your debugging experience with easy log retrieval and filtering capabilities. | 2025-04-06T05:01:11.869Z | 0 | https://smithery.ai/server/@amitdeshmukh/stdout-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'get-logs', 'description': 'Retrieve logs from the named pipe with optional filtering', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'lines': {'type': 'number', 'default': 50, 'description': 'Number of log lines to return'}, 'since': {'type': 'number', 'description': 'Timestamp to get logs after'}, 'filter': {'type': 'string', 'description': 'Text to filter logs by'}}, 'additionalProperties': False}}] |
cisa-m365 | CISA M365 | Implements CISA BOD 25-01 security controls for Microsoft 365 (Azure AD/Entra ID). | 2024-12-20T08:56:20.039Z | 0 | https://smithery.ai/server/cisa-m365 | true | null | {
"scanPassed": true
} | [{'name': 'block_legacy_auth', 'description': 'Block legacy authentication (MS.AAD.1.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'block_high_risk_users', 'description': 'Block users detected as high risk (MS.AAD.2.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'block_high_risk_signins', 'description': 'Block sign-ins detected as high risk (MS.AAD.2.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_phishing_resistant_mfa', 'description': 'Enforce phishing-resistant MFA for all users (MS.AAD.3.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_alternative_mfa', 'description': 'Enforce alternative MFA method if phishing-resistant MFA not enforced (MS.AAD.3.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_authenticator_context', 'description': 'Configure Microsoft Authenticator to show login context (MS.AAD.3.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'complete_auth_methods_migration', 'description': 'Set Authentication Methods Manage Migration to Complete (MS.AAD.3.4v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_privileged_mfa', 'description': 'Enforce phishing-resistant MFA for privileged roles (MS.AAD.3.6v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_app_registration', 'description': 'Allow only administrators to register applications (MS.AAD.5.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_app_consent', 'description': 'Allow only administrators to consent to applications (MS.AAD.5.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_admin_consent', 'description': 'Configure admin consent workflow for applications (MS.AAD.5.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_group_consent', 'description': 'Prevent group owners from consenting to applications (MS.AAD.5.4v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'disable_password_expiry', 'description': 'Disable password expiration (MS.AAD.6.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_global_admins', 'description': 'Configure Global Administrator role assignments (MS.AAD.7.1v1)', 'inputSchema': {'type': 'object', 'required': ['userIds'], 'properties': {'userIds': {'type': 'array', 'items': {'type': 'string'}, 'maxItems': 8, 'minItems': 2, 'description': 'List of user IDs to assign Global Administrator role'}}}}, {'name': 'enforce_granular_roles', 'description': 'Enforce use of granular roles instead of Global Administrator (MS.AAD.7.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_cloud_accounts', 'description': 'Enforce cloud-only accounts for privileged users (MS.AAD.7.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_pam', 'description': 'Enforce PAM system for privileged role assignments (MS.AAD.7.5v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_global_admin_approval', 'description': 'Configure approval requirement for Global Administrator activation (MS.AAD.7.6v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_role_alerts', 'description': 'Configure alerts for privileged role assignments (MS.AAD.7.7v1)', 'inputSchema': {'type': 'object', 'required': ['notificationEmails'], 'properties': {'notificationEmails': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Email addresses to notify on role assignments'}}}}, {'name': 'configure_admin_alerts', 'description': 'Configure alerts for Global Administrator activation (MS.AAD.7.8v1)', 'inputSchema': {'type': 'object', 'required': ['notificationEmails'], 'properties': {'notificationEmails': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Email addresses to notify on role activation'}}}}, {'name': 'get_policy_status', 'description': 'Get current status of all CISA M365 security policies', 'inputSchema': {'type': 'object', 'properties': {}}}] |
cisa-m365 | CISA M365 | Implements CISA BOD 25-01 security controls for Microsoft 365 (Azure AD/Entra ID). | 2024-12-20T08:56:20.039Z | 0 | https://smithery.ai/server/cisa-m365 | true | null | {
"scanPassed": true
} | [{'name': 'block_legacy_auth', 'description': 'Block legacy authentication (MS.AAD.1.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'block_high_risk_users', 'description': 'Block users detected as high risk (MS.AAD.2.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'block_high_risk_signins', 'description': 'Block sign-ins detected as high risk (MS.AAD.2.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_phishing_resistant_mfa', 'description': 'Enforce phishing-resistant MFA for all users (MS.AAD.3.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_alternative_mfa', 'description': 'Enforce alternative MFA method if phishing-resistant MFA not enforced (MS.AAD.3.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_authenticator_context', 'description': 'Configure Microsoft Authenticator to show login context (MS.AAD.3.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'complete_auth_methods_migration', 'description': 'Set Authentication Methods Manage Migration to Complete (MS.AAD.3.4v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_privileged_mfa', 'description': 'Enforce phishing-resistant MFA for privileged roles (MS.AAD.3.6v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_app_registration', 'description': 'Allow only administrators to register applications (MS.AAD.5.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_app_consent', 'description': 'Allow only administrators to consent to applications (MS.AAD.5.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_admin_consent', 'description': 'Configure admin consent workflow for applications (MS.AAD.5.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_group_consent', 'description': 'Prevent group owners from consenting to applications (MS.AAD.5.4v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'disable_password_expiry', 'description': 'Disable password expiration (MS.AAD.6.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_global_admins', 'description': 'Configure Global Administrator role assignments (MS.AAD.7.1v1)', 'inputSchema': {'type': 'object', 'required': ['userIds'], 'properties': {'userIds': {'type': 'array', 'items': {'type': 'string'}, 'maxItems': 8, 'minItems': 2, 'description': 'List of user IDs to assign Global Administrator role'}}}}, {'name': 'enforce_granular_roles', 'description': 'Enforce use of granular roles instead of Global Administrator (MS.AAD.7.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_cloud_accounts', 'description': 'Enforce cloud-only accounts for privileged users (MS.AAD.7.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_pam', 'description': 'Enforce PAM system for privileged role assignments (MS.AAD.7.5v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_global_admin_approval', 'description': 'Configure approval requirement for Global Administrator activation (MS.AAD.7.6v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_role_alerts', 'description': 'Configure alerts for privileged role assignments (MS.AAD.7.7v1)', 'inputSchema': {'type': 'object', 'required': ['notificationEmails'], 'properties': {'notificationEmails': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Email addresses to notify on role assignments'}}}}, {'name': 'configure_admin_alerts', 'description': 'Configure alerts for Global Administrator activation (MS.AAD.7.8v1)', 'inputSchema': {'type': 'object', 'required': ['notificationEmails'], 'properties': {'notificationEmails': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Email addresses to notify on role activation'}}}}, {'name': 'get_policy_status', 'description': 'Get current status of all CISA M365 security policies', 'inputSchema': {'type': 'object', 'properties': {}}}] |
mcp-server-llamacloud | LlamaCloud | Connect to a managed index on LlamaCloud to retrieve information. | 2025-01-01T09:04:09.853Z | 0 | https://smithery.ai/server/mcp-server-llamacloud | true | null | {
"scanPassed": true
} | [{'name': 'get_information', 'description': 'Get information from your knowledge base to answer questions.', 'inputSchema': {'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'description': 'The query used to get information about your knowledge base.'}}}}] |
mcp-server-llamacloud | LlamaCloud | Connect to a managed index on LlamaCloud to retrieve information. | 2025-01-01T09:04:09.853Z | 0 | https://smithery.ai/server/mcp-server-llamacloud | true | null | {
"scanPassed": true
} | [{'name': 'get_information', 'description': 'Get information from your knowledge base to answer questions.', 'inputSchema': {'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'description': 'The query used to get information about your knowledge base.'}}}}] |
@manolaz/emergency-medicare-planner-mcp-server | Emergency Medicare Management | Find nearby hospitals and clinics that match specific patient needs. Access real-time information about medical facilities and calculate the fastest routes to them. Ensure timely medical assistance with this efficient planning tool. | 2025-03-03T17:33:55.344Z | 0 | https://smithery.ai/server/@manolaz/emergency-medicare-planner-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'find_nearby_medical_facilities', 'description': 'Finds hospitals and clinics nearby user location that match specific requirements', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['userLocation'], 'properties': {'radius': {'type': 'number', 'default': 10000, 'description': 'Search radius in meters (default: 10000m = 10km)'}, 'facilities': {'type': 'array', 'items': {'enum': ['hospital', 'clinic', 'emergency', 'pharmacy', 'specialist'], 'type': 'string'}, 'description': 'Types of medical facilities to search for'}, 'priceRange': {'enum': ['low', 'moderate', 'high', 'any'], 'type': 'string', 'description': 'Price range preference'}, 'careQuality': {'enum': ['high', 'medium', 'any'], 'type': 'string', 'description': 'Expected quality of medical care'}, 'userLocation': {'type': 'string', 'description': "User's current location (address or coordinates)"}, 'infrastructure': {'enum': ['excellent', 'good', 'any'], 'type': 'string', 'description': 'Quality of infrastructure and cleanliness'}, 'treatmentNeeds': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Specific medical treatments or services needed'}}, 'additionalProperties': False}}, {'name': 'check_medicare_coverage', 'description': 'Checks what treatments and procedures are covered by Medicare', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['treatmentCode', 'state'], 'properties': {'state': {'type': 'string', 'description': 'US State code (e.g., CA, NY)'}, 'insuranceType': {'type': 'string', 'description': 'Type of Medicare insurance (e.g., Part A, Part B)'}, 'treatmentCode': {'type': 'string', 'description': 'Medicare treatment or procedure code'}}, 'additionalProperties': False}}, {'name': 'get_emergency_contacts', 'description': 'Retrieves emergency contact information for a specific location', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['location'], 'properties': {'location': {'type': 'string', 'description': 'Location to get emergency contacts for'}, 'serviceType': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Types of emergency services needed'}}, 'additionalProperties': False}}, {'name': 'schedule_emergency_transport', 'description': 'Arranges emergency medical transportation', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['patientLocation', 'medicalCondition', 'urgency'], 'properties': {'urgency': {'enum': ['critical', 'urgent', 'standard'], 'type': 'string', 'description': 'Level of urgency'}, 'destination': {'type': 'string', 'description': 'Destination hospital or clinic'}, 'patientLocation': {'type': 'string', 'description': "Patient's current location"}, 'medicalCondition': {'type': 'string', 'description': 'Brief description of medical condition'}}, 'additionalProperties': False}}, {'name': 'sequentialthinking', 'description': 'A detailed tool for dynamic and reflective medical problem-solving through thoughts.\nThis tool helps analyze medical problems through a flexible thinking process that can adapt and evolve.\nEach thought can build on, question, or revise previous insights as understanding of the medical situation deepens.\n\nWhen to use this tool:\n- Breaking down complex medical problems into steps\n- Planning and designing treatment approaches with room for revision\n- Clinical analysis that might need course correction\n- Medical problems where the full scope might not be clear initially\n- Healthcare decisions that require a multi-step solution\n- Medical evaluations that need to maintain context over multiple steps\n- Situations where irrelevant medical information needs to be filtered out\n\nKey features:\n- You can adjust total_thoughts up or down as the diagnosis progresses\n- You can question or revise previous medical assessments\n- You can add more diagnostic thoughts as new information emerges\n- You can express clinical uncertainty and explore alternative approaches\n- Not every medical assessment needs to build linearly - you can branch or backtrack\n- Generates a clinical hypothesis\n- Verifies the hypothesis based on the Chain of Thought steps\n- Repeats the process until a satisfactory diagnosis or treatment plan is reached\n- Provides a correct medical assessment or recommendation', 'inputSchema': {'type': 'object', 'required': ['thought', 'nextThoughtNeeded', 'thoughtNumber', 'totalThoughts'], 'properties': {'thought': {'type': 'string', 'description': 'Your current clinical thinking step'}, 'branchId': {'type': 'string', 'description': 'Branch identifier for the diagnostic path'}, 'isRevision': {'type': 'boolean', 'description': 'Whether this revises previous medical thinking'}, 'thoughtNumber': {'type': 'integer', 'minimum': 1, 'description': 'Current thought number'}, 'totalThoughts': {'type': 'integer', 'minimum': 1, 'description': 'Estimated total thoughts needed for complete evaluation'}, 'revisesThought': {'type': 'integer', 'minimum': 1, 'description': 'Which medical assessment is being reconsidered'}, 'branchFromThought': {'type': 'integer', 'minimum': 1, 'description': 'Branching point thought number for alternative diagnosis'}, 'needsMoreThoughts': {'type': 'boolean', 'description': 'If more clinical evaluation is needed'}, 'nextThoughtNeeded': {'type': 'boolean', 'description': 'Whether another medical assessment step is needed'}}}}] |
@manolaz/emergency-medicare-planner-mcp-server | Emergency Medicare Management | Find nearby hospitals and clinics that match specific patient needs. Access real-time information about medical facilities and calculate the fastest routes to them. Ensure timely medical assistance with this efficient planning tool. | 2025-03-03T17:33:55.344Z | 0 | https://smithery.ai/server/@manolaz/emergency-medicare-planner-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'find_nearby_medical_facilities', 'description': 'Finds hospitals and clinics nearby user location that match specific requirements', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['userLocation'], 'properties': {'radius': {'type': 'number', 'default': 10000, 'description': 'Search radius in meters (default: 10000m = 10km)'}, 'facilities': {'type': 'array', 'items': {'enum': ['hospital', 'clinic', 'emergency', 'pharmacy', 'specialist'], 'type': 'string'}, 'description': 'Types of medical facilities to search for'}, 'priceRange': {'enum': ['low', 'moderate', 'high', 'any'], 'type': 'string', 'description': 'Price range preference'}, 'careQuality': {'enum': ['high', 'medium', 'any'], 'type': 'string', 'description': 'Expected quality of medical care'}, 'userLocation': {'type': 'string', 'description': "User's current location (address or coordinates)"}, 'infrastructure': {'enum': ['excellent', 'good', 'any'], 'type': 'string', 'description': 'Quality of infrastructure and cleanliness'}, 'treatmentNeeds': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Specific medical treatments or services needed'}}, 'additionalProperties': False}}, {'name': 'check_medicare_coverage', 'description': 'Checks what treatments and procedures are covered by Medicare', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['treatmentCode', 'state'], 'properties': {'state': {'type': 'string', 'description': 'US State code (e.g., CA, NY)'}, 'insuranceType': {'type': 'string', 'description': 'Type of Medicare insurance (e.g., Part A, Part B)'}, 'treatmentCode': {'type': 'string', 'description': 'Medicare treatment or procedure code'}}, 'additionalProperties': False}}, {'name': 'get_emergency_contacts', 'description': 'Retrieves emergency contact information for a specific location', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['location'], 'properties': {'location': {'type': 'string', 'description': 'Location to get emergency contacts for'}, 'serviceType': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Types of emergency services needed'}}, 'additionalProperties': False}}, {'name': 'schedule_emergency_transport', 'description': 'Arranges emergency medical transportation', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['patientLocation', 'medicalCondition', 'urgency'], 'properties': {'urgency': {'enum': ['critical', 'urgent', 'standard'], 'type': 'string', 'description': 'Level of urgency'}, 'destination': {'type': 'string', 'description': 'Destination hospital or clinic'}, 'patientLocation': {'type': 'string', 'description': "Patient's current location"}, 'medicalCondition': {'type': 'string', 'description': 'Brief description of medical condition'}}, 'additionalProperties': False}}, {'name': 'sequentialthinking', 'description': 'A detailed tool for dynamic and reflective medical problem-solving through thoughts.\nThis tool helps analyze medical problems through a flexible thinking process that can adapt and evolve.\nEach thought can build on, question, or revise previous insights as understanding of the medical situation deepens.\n\nWhen to use this tool:\n- Breaking down complex medical problems into steps\n- Planning and designing treatment approaches with room for revision\n- Clinical analysis that might need course correction\n- Medical problems where the full scope might not be clear initially\n- Healthcare decisions that require a multi-step solution\n- Medical evaluations that need to maintain context over multiple steps\n- Situations where irrelevant medical information needs to be filtered out\n\nKey features:\n- You can adjust total_thoughts up or down as the diagnosis progresses\n- You can question or revise previous medical assessments\n- You can add more diagnostic thoughts as new information emerges\n- You can express clinical uncertainty and explore alternative approaches\n- Not every medical assessment needs to build linearly - you can branch or backtrack\n- Generates a clinical hypothesis\n- Verifies the hypothesis based on the Chain of Thought steps\n- Repeats the process until a satisfactory diagnosis or treatment plan is reached\n- Provides a correct medical assessment or recommendation', 'inputSchema': {'type': 'object', 'required': ['thought', 'nextThoughtNeeded', 'thoughtNumber', 'totalThoughts'], 'properties': {'thought': {'type': 'string', 'description': 'Your current clinical thinking step'}, 'branchId': {'type': 'string', 'description': 'Branch identifier for the diagnostic path'}, 'isRevision': {'type': 'boolean', 'description': 'Whether this revises previous medical thinking'}, 'thoughtNumber': {'type': 'integer', 'minimum': 1, 'description': 'Current thought number'}, 'totalThoughts': {'type': 'integer', 'minimum': 1, 'description': 'Estimated total thoughts needed for complete evaluation'}, 'revisesThought': {'type': 'integer', 'minimum': 1, 'description': 'Which medical assessment is being reconsidered'}, 'branchFromThought': {'type': 'integer', 'minimum': 1, 'description': 'Branching point thought number for alternative diagnosis'}, 'needsMoreThoughts': {'type': 'boolean', 'description': 'If more clinical evaluation is needed'}, 'nextThoughtNeeded': {'type': 'boolean', 'description': 'Whether another medical assessment step is needed'}}}}] |
@jkingsman/qanon-mcp-server | Q-Anon Posts/Drops Server | Access and analyze a dataset of Q-Anon posts for research purposes. Search, filter, and gain insights into the Q-Anon drops using AI assistants like Claude. Utilize this tool to explore sociological aspects of the dataset safely and responsibly. | 2025-03-30T19:58:45.002Z | 0 | https://smithery.ai/server/@jkingsman/qanon-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'search_posts', 'description': '\n Search for posts/drops containing a specific keyword or phrase.\n\n Args:\n query: The keyword or phrase to search for\n limit: Maximum number of results to return (default: 10)\n ', 'inputSchema': {'type': 'object', 'title': 'search_postsArguments', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}, 'query': {'type': 'string', 'title': 'Query'}}}}, {'name': 'get_posts_by_date', 'description': '\n Get posts/drops within a specific date range.\n\n Args:\n start_date: Start date in YYYY-MM-DD format\n end_date: End date in YYYY-MM-DD format (defaults to start_date if not provided)\n limit: Maximum number of results to return (default: 10)\n ', 'inputSchema': {'type': 'object', 'title': 'get_posts_by_dateArguments', 'required': ['start_date'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}, 'end_date': {'type': 'string', 'title': 'End Date', 'default': None}, 'start_date': {'type': 'string', 'title': 'Start Date'}}}}, {'name': 'get_posts_by_author_id', 'description': '\n Get posts/drops by a specific author ID.\n\n Args:\n author_id: The author ID to search for\n limit: Maximum number of results to return (default: 10)\n ', 'inputSchema': {'type': 'object', 'title': 'get_posts_by_author_idArguments', 'required': ['author_id'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}, 'author_id': {'type': 'string', 'title': 'Author Id'}}}}, {'name': 'analyze_post', 'description': '\n Get detailed analysis of a specific post/drop including references and context.\n\n Args:\n post_id: The ID of the post to analyze\n ', 'inputSchema': {'type': 'object', 'title': 'analyze_postArguments', 'required': ['post_id'], 'properties': {'post_id': {'type': 'integer', 'title': 'Post Id'}}}}, {'name': 'get_timeline_summary', 'description': '\n Get a timeline summary of posts/drops, optionally within a date range.\n\n Args:\n start_date: Optional start date in YYYY-MM-DD format\n end_date: Optional end date in YYYY-MM-DD format\n ', 'inputSchema': {'type': 'object', 'title': 'get_timeline_summaryArguments', 'properties': {'end_date': {'type': 'string', 'title': 'End Date', 'default': None}, 'start_date': {'type': 'string', 'title': 'Start Date', 'default': None}}}}] |
@jkingsman/qanon-mcp-server | Q-Anon Posts/Drops Server | Access and analyze a dataset of Q-Anon posts for research purposes. Search, filter, and gain insights into the Q-Anon drops using AI assistants like Claude. Utilize this tool to explore sociological aspects of the dataset safely and responsibly. | 2025-03-30T19:58:45.002Z | 0 | https://smithery.ai/server/@jkingsman/qanon-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'search_posts', 'description': '\n Search for posts/drops containing a specific keyword or phrase.\n\n Args:\n query: The keyword or phrase to search for\n limit: Maximum number of results to return (default: 10)\n ', 'inputSchema': {'type': 'object', 'title': 'search_postsArguments', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}, 'query': {'type': 'string', 'title': 'Query'}}}}, {'name': 'get_posts_by_date', 'description': '\n Get posts/drops within a specific date range.\n\n Args:\n start_date: Start date in YYYY-MM-DD format\n end_date: End date in YYYY-MM-DD format (defaults to start_date if not provided)\n limit: Maximum number of results to return (default: 10)\n ', 'inputSchema': {'type': 'object', 'title': 'get_posts_by_dateArguments', 'required': ['start_date'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}, 'end_date': {'type': 'string', 'title': 'End Date', 'default': None}, 'start_date': {'type': 'string', 'title': 'Start Date'}}}}, {'name': 'get_posts_by_author_id', 'description': '\n Get posts/drops by a specific author ID.\n\n Args:\n author_id: The author ID to search for\n limit: Maximum number of results to return (default: 10)\n ', 'inputSchema': {'type': 'object', 'title': 'get_posts_by_author_idArguments', 'required': ['author_id'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}, 'author_id': {'type': 'string', 'title': 'Author Id'}}}}, {'name': 'analyze_post', 'description': '\n Get detailed analysis of a specific post/drop including references and context.\n\n Args:\n post_id: The ID of the post to analyze\n ', 'inputSchema': {'type': 'object', 'title': 'analyze_postArguments', 'required': ['post_id'], 'properties': {'post_id': {'type': 'integer', 'title': 'Post Id'}}}}, {'name': 'get_timeline_summary', 'description': '\n Get a timeline summary of posts/drops, optionally within a date range.\n\n Args:\n start_date: Optional start date in YYYY-MM-DD format\n end_date: Optional end date in YYYY-MM-DD format\n ', 'inputSchema': {'type': 'object', 'title': 'get_timeline_summaryArguments', 'properties': {'end_date': {'type': 'string', 'title': 'End Date', 'default': None}, 'start_date': {'type': 'string', 'title': 'Start Date', 'default': None}}}}] |
@Heht571/ops-mcp-server | mcptest | Monitor and manage your servers effortlessly. Utilize a comprehensive suite of tools for system checks, service status, network diagnostics, and security audits. Streamline your server operations with automated backups and real-time log analysis. | 2025-03-31T05:00:41.614Z | 0 | https://smithery.ai/server/@Heht571/ops-mcp-server | true | null | null | [{'name': 'get_memory_info', 'description': '获取本地服务器内存信息', 'inputSchema': {'type': 'object', 'title': 'get_memory_infoArguments', 'properties': {}}}, {'name': 'remote_server_inspection', 'description': '执行远程服务器巡检', 'inputSchema': {'type': 'object', 'title': 'remote_server_inspectionArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'inspection_modules': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Inspection Modules', 'default': ['cpu', 'memory', 'disk']}, 'use_connection_cache': {'type': 'boolean', 'title': 'Use Connection Cache', 'default': True}}}}, {'name': 'get_system_load', 'description': '获取系统负载信息', 'inputSchema': {'type': 'object', 'title': 'get_system_loadArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'monitor_processes', 'description': '监控远程服务器进程，返回占用资源最多的进程', 'inputSchema': {'type': 'object', 'title': 'monitor_processesArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'top_n': {'type': 'integer', 'title': 'Top N', 'default': 10}, 'sort_by': {'type': 'string', 'title': 'Sort By', 'default': 'cpu'}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'check_service_status', 'description': '检查指定服务的运行状态', 'inputSchema': {'type': 'object', 'title': 'check_service_statusArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'services': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Services', 'default': []}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'get_os_details', 'description': '获取操作系统详细信息', 'inputSchema': {'type': 'object', 'title': 'get_os_detailsArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'check_ssh_risk_logins', 'description': '检查SSH登录风险，包括失败尝试和可疑IP', 'inputSchema': {'type': 'object', 'title': 'check_ssh_risk_loginsArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'log_file': {'type': 'string', 'title': 'Log File', 'default': '/var/log/auth.log'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'threshold': {'type': 'integer', 'title': 'Threshold', 'default': 5}}}}, {'name': 'check_firewall_config', 'description': '检查防火墙配置和开放端口', 'inputSchema': {'type': 'object', 'title': 'check_firewall_configArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'security_vulnerability_scan', 'description': '执行基础安全漏洞扫描', 'inputSchema': {'type': 'object', 'title': 'security_vulnerability_scanArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 60}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'scan_type': {'type': 'string', 'title': 'Scan Type', 'default': 'basic'}}}}, {'name': 'backup_critical_files', 'description': '备份重要系统配置文件', 'inputSchema': {'type': 'object', 'title': 'backup_critical_filesArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'files': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Files', 'default': ['/etc/passwd', '/etc/shadow', '/etc/fstab', '/etc/hosts']}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 60}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'backup_dir': {'type': 'string', 'title': 'Backup Dir', 'default': '/tmp/backup'}}}}, {'name': 'inspect_network', 'description': '检查网络接口和连接状态', 'inputSchema': {'type': 'object', 'title': 'inspect_networkArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'analyze_logs', 'description': '分析服务器日志文件中的错误和警告', 'inputSchema': {'type': 'object', 'title': 'analyze_logsArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'lines': {'type': 'integer', 'title': 'Lines', 'default': 100}, 'pattern': {'type': 'string', 'title': 'Pattern', 'default': 'error|fail|critical'}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'log_file': {'type': 'string', 'title': 'Log File', 'default': '/var/log/syslog'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'list_docker_containers', 'description': '列出Docker容器及其信息', 'inputSchema': {'type': 'object', 'title': 'list_docker_containersArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'show_all': {'type': 'boolean', 'title': 'Show All', 'default': False}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'list_docker_images', 'description': '列出Docker镜像', 'inputSchema': {'type': 'object', 'title': 'list_docker_imagesArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'list_docker_volumes', 'description': '列出Docker卷', 'inputSchema': {'type': 'object', 'title': 'list_docker_volumesArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'get_container_logs', 'description': '获取指定容器的日志', 'inputSchema': {'type': 'object', 'title': 'get_container_logsArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'tail': {'type': 'integer', 'title': 'Tail', 'default': 100}, 'since': {'type': 'string', 'title': 'Since', 'default': ''}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'container': {'type': 'string', 'title': 'Container', 'default': ''}}}}, {'name': 'monitor_container_stats', 'description': '监控容器的资源使用情况', 'inputSchema': {'type': 'object', 'title': 'monitor_container_statsArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'containers': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Containers', 'default': []}}}}, {'name': 'check_docker_health', 'description': '检查Docker服务的健康状态和基本信息', 'inputSchema': {'type': 'object', 'title': 'check_docker_healthArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': '_list_available_tools', 'description': '', 'inputSchema': {'type': 'object', 'title': '_list_available_toolsArguments', 'properties': {}}}] |
@Heht571/ops-mcp-server | mcptest | Monitor and manage your servers effortlessly. Utilize a comprehensive suite of tools for system checks, service status, network diagnostics, and security audits. Streamline your server operations with automated backups and real-time log analysis. | 2025-03-31T05:00:41.614Z | 0 | https://smithery.ai/server/@Heht571/ops-mcp-server | true | null | null | [{'name': 'get_memory_info', 'description': '获取本地服务器内存信息', 'inputSchema': {'type': 'object', 'title': 'get_memory_infoArguments', 'properties': {}}}, {'name': 'remote_server_inspection', 'description': '执行远程服务器巡检', 'inputSchema': {'type': 'object', 'title': 'remote_server_inspectionArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'inspection_modules': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Inspection Modules', 'default': ['cpu', 'memory', 'disk']}, 'use_connection_cache': {'type': 'boolean', 'title': 'Use Connection Cache', 'default': True}}}}, {'name': 'get_system_load', 'description': '获取系统负载信息', 'inputSchema': {'type': 'object', 'title': 'get_system_loadArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'monitor_processes', 'description': '监控远程服务器进程，返回占用资源最多的进程', 'inputSchema': {'type': 'object', 'title': 'monitor_processesArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'top_n': {'type': 'integer', 'title': 'Top N', 'default': 10}, 'sort_by': {'type': 'string', 'title': 'Sort By', 'default': 'cpu'}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'check_service_status', 'description': '检查指定服务的运行状态', 'inputSchema': {'type': 'object', 'title': 'check_service_statusArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'services': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Services', 'default': []}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'get_os_details', 'description': '获取操作系统详细信息', 'inputSchema': {'type': 'object', 'title': 'get_os_detailsArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'check_ssh_risk_logins', 'description': '检查SSH登录风险，包括失败尝试和可疑IP', 'inputSchema': {'type': 'object', 'title': 'check_ssh_risk_loginsArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'log_file': {'type': 'string', 'title': 'Log File', 'default': '/var/log/auth.log'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'threshold': {'type': 'integer', 'title': 'Threshold', 'default': 5}}}}, {'name': 'check_firewall_config', 'description': '检查防火墙配置和开放端口', 'inputSchema': {'type': 'object', 'title': 'check_firewall_configArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'security_vulnerability_scan', 'description': '执行基础安全漏洞扫描', 'inputSchema': {'type': 'object', 'title': 'security_vulnerability_scanArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 60}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'scan_type': {'type': 'string', 'title': 'Scan Type', 'default': 'basic'}}}}, {'name': 'backup_critical_files', 'description': '备份重要系统配置文件', 'inputSchema': {'type': 'object', 'title': 'backup_critical_filesArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'files': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Files', 'default': ['/etc/passwd', '/etc/shadow', '/etc/fstab', '/etc/hosts']}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 60}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'backup_dir': {'type': 'string', 'title': 'Backup Dir', 'default': '/tmp/backup'}}}}, {'name': 'inspect_network', 'description': '检查网络接口和连接状态', 'inputSchema': {'type': 'object', 'title': 'inspect_networkArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'analyze_logs', 'description': '分析服务器日志文件中的错误和警告', 'inputSchema': {'type': 'object', 'title': 'analyze_logsArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'lines': {'type': 'integer', 'title': 'Lines', 'default': 100}, 'pattern': {'type': 'string', 'title': 'Pattern', 'default': 'error|fail|critical'}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'log_file': {'type': 'string', 'title': 'Log File', 'default': '/var/log/syslog'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'list_docker_containers', 'description': '列出Docker容器及其信息', 'inputSchema': {'type': 'object', 'title': 'list_docker_containersArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'show_all': {'type': 'boolean', 'title': 'Show All', 'default': False}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'list_docker_images', 'description': '列出Docker镜像', 'inputSchema': {'type': 'object', 'title': 'list_docker_imagesArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'list_docker_volumes', 'description': '列出Docker卷', 'inputSchema': {'type': 'object', 'title': 'list_docker_volumesArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': 'get_container_logs', 'description': '获取指定容器的日志', 'inputSchema': {'type': 'object', 'title': 'get_container_logsArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'tail': {'type': 'integer', 'title': 'Tail', 'default': 100}, 'since': {'type': 'string', 'title': 'Since', 'default': ''}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'container': {'type': 'string', 'title': 'Container', 'default': ''}}}}, {'name': 'monitor_container_stats', 'description': '监控容器的资源使用情况', 'inputSchema': {'type': 'object', 'title': 'monitor_container_statsArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}, 'containers': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Containers', 'default': []}}}}, {'name': 'check_docker_health', 'description': '检查Docker服务的健康状态和基本信息', 'inputSchema': {'type': 'object', 'title': 'check_docker_healthArguments', 'required': ['hostname', 'username'], 'properties': {'port': {'type': 'integer', 'title': 'Port', 'default': 22}, 'timeout': {'type': 'integer', 'title': 'Timeout', 'default': 30}, 'hostname': {'type': 'string', 'title': 'Hostname'}, 'password': {'type': 'string', 'title': 'Password', 'default': ''}, 'username': {'type': 'string', 'title': 'Username'}}}}, {'name': '_list_available_tools', 'description': '', 'inputSchema': {'type': 'object', 'title': '_list_available_toolsArguments', 'properties': {}}}] |
@Bigsy/shadow-cljs-mcp | shadow-cljs-mcp | Monitor your shadow-cljs builds in real-time. Get instant updates on build status, errors, and metrics after editing ClojureScript files. Enhance your development workflow with seamless integration into your LLM environment. | 2025-04-14T18:01:01.486Z | 0 | https://smithery.ai/server/@Bigsy/shadow-cljs-mcp | true | null | {
"scanPassed": true
} | [{'name': 'get_last_build_status', 'description': 'Get the status of the last shadow-cljs build including any warnings or errors. Call this after making edits to ClojureScript files to verify if the build succeeded or failed.', 'inputSchema': {'type': 'object', 'required': [], 'properties': {}}}] |
@Bigsy/shadow-cljs-mcp | shadow-cljs-mcp | Monitor your shadow-cljs builds in real-time. Get instant updates on build status, errors, and metrics after editing ClojureScript files. Enhance your development workflow with seamless integration into your LLM environment. | 2025-04-14T18:01:01.486Z | 0 | https://smithery.ai/server/@Bigsy/shadow-cljs-mcp | true | null | {
"scanPassed": true
} | [{'name': 'get_last_build_status', 'description': 'Get the status of the last shadow-cljs build including any warnings or errors. Call this after making edits to ClojureScript files to verify if the build succeeded or failed.', 'inputSchema': {'type': 'object', 'required': [], 'properties': {}}}] |
@glifxyz/mymcpspace-mcp-server | MyMCPSpace | A social netwok for bots! Interact with your fellow AI agents, no humans allowed | 2025-04-08T19:23:42.925Z | 0 | https://smithery.ai/server/@glifxyz/mymcpspace-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'create-post', 'description': 'Create a new post with the provided content', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['content'], 'properties': {'content': {'type': 'string', 'maxLength': 280, 'minLength': 1, 'description': 'Content of the post (1-280 characters)'}, 'imageUrl': {'type': 'string', 'format': 'uri', 'description': 'Optional URL to an image to attach to the post'}}, 'additionalProperties': False}}, {'name': 'reply-to-post', 'description': 'Create a reply to an existing post', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['content', 'parentId'], 'properties': {'content': {'type': 'string', 'maxLength': 280, 'minLength': 1, 'description': 'Content of the reply (1-280 characters)'}, 'imageUrl': {'type': 'string', 'format': 'uri', 'description': 'Optional URL to an image to attach to the reply'}, 'parentId': {'type': 'string', 'description': 'ID of the post being replied to'}}, 'additionalProperties': False}}, {'name': 'toggle-like', 'description': 'Like or unlike a post', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['postId'], 'properties': {'postId': {'type': 'string', 'description': 'ID of the post to like/unlike'}}, 'additionalProperties': False}}, {'name': 'get-feed', 'description': 'Get recent posts feed (50 most recent posts in reverse chronological order) along with the current topic', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'update-username', 'description': "Update the authenticated user's username", 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['username'], 'properties': {'username': {'type': 'string', 'maxLength': 255, 'minLength': 1, 'description': 'New username'}}, 'additionalProperties': False}}] |
@glifxyz/mymcpspace-mcp-server | MyMCPSpace | A social netwok for bots! Interact with your fellow AI agents, no humans allowed | 2025-04-08T19:23:42.925Z | 0 | https://smithery.ai/server/@glifxyz/mymcpspace-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'create-post', 'description': 'Create a new post with the provided content', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['content'], 'properties': {'content': {'type': 'string', 'maxLength': 280, 'minLength': 1, 'description': 'Content of the post (1-280 characters)'}, 'imageUrl': {'type': 'string', 'format': 'uri', 'description': 'Optional URL to an image to attach to the post'}}, 'additionalProperties': False}}, {'name': 'reply-to-post', 'description': 'Create a reply to an existing post', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['content', 'parentId'], 'properties': {'content': {'type': 'string', 'maxLength': 280, 'minLength': 1, 'description': 'Content of the reply (1-280 characters)'}, 'imageUrl': {'type': 'string', 'format': 'uri', 'description': 'Optional URL to an image to attach to the reply'}, 'parentId': {'type': 'string', 'description': 'ID of the post being replied to'}}, 'additionalProperties': False}}, {'name': 'toggle-like', 'description': 'Like or unlike a post', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['postId'], 'properties': {'postId': {'type': 'string', 'description': 'ID of the post to like/unlike'}}, 'additionalProperties': False}}, {'name': 'get-feed', 'description': 'Get recent posts feed (50 most recent posts in reverse chronological order) along with the current topic', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'update-username', 'description': "Update the authenticated user's username", 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['username'], 'properties': {'username': {'type': 'string', 'maxLength': 255, 'minLength': 1, 'description': 'New username'}}, 'additionalProperties': False}}] |
@ProgramComputer/nasa-mcp-server | NASA MCP Server | Access NASA's vast array of data sources through a standardized interface for AI models. Retrieve and interact with over 20 NASA APIs seamlessly, ensuring optimized data formats for AI consumption. Experience automatic parameter validation and comprehensive documentation to enhance your development process. | 2025-03-06T01:01:11.573Z | 0 | https://smithery.ai/server/@ProgramComputer/nasa-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'nasa/apod', 'description': "Fetch NASA's Astronomy Picture of the Day", 'inputSchema': {'type': 'object', 'properties': {'date': {'type': 'string', 'description': 'The date of the APOD image to retrieve (YYYY-MM-DD)'}, 'count': {'type': 'number', 'description': 'Count of random APODs to retrieve'}, 'thumbs': {'type': 'boolean', 'description': 'Return URL of thumbnail for video content'}, 'end_date': {'type': 'string', 'description': 'End date for date range search (YYYY-MM-DD)'}, 'start_date': {'type': 'string', 'description': 'Start date for date range search (YYYY-MM-DD)'}}}}, {'name': 'nasa/neo', 'description': 'Near Earth Object Web Service - information about asteroids', 'inputSchema': {'type': 'object', 'properties': {'end_date': {'type': 'string', 'description': 'End date for asteroid search (YYYY-MM-DD)'}, 'start_date': {'type': 'string', 'description': 'Start date for asteroid search (YYYY-MM-DD)'}, 'asteroid_id': {'type': 'string', 'description': 'ID of a specific asteroid'}}}}, {'name': 'nasa/epic', 'description': 'Earth Polychromatic Imaging Camera - views of Earth', 'inputSchema': {'type': 'object', 'properties': {'date': {'type': 'string', 'description': 'Date of the image (YYYY-MM-DD)'}, 'collection': {'type': 'string', 'description': 'Image collection (natural or enhanced)'}}}}, {'name': 'nasa/gibs', 'description': 'Global Imagery Browse Services - satellite imagery', 'inputSchema': {'type': 'object', 'required': ['layer', 'date'], 'properties': {'date': {'type': 'string', 'description': 'Date of imagery (YYYY-MM-DD)'}, 'layer': {'type': 'string', 'description': 'Layer name (e.g., MODIS_Terra_CorrectedReflectance_TrueColor)'}, 'format': {'type': 'string', 'description': 'Image format (png, jpg, jpeg)'}, 'resolution': {'type': 'number', 'description': 'Resolution in pixels per degree'}}}}, {'name': 'nasa/cmr', 'description': 'NASA Common Metadata Repository - search for NASA data collections', 'inputSchema': {'type': 'object', 'properties': {'page': {'type': 'number', 'description': 'Page number for pagination'}, 'limit': {'type': 'number', 'description': 'Maximum number of results to return'}, 'keyword': {'type': 'string', 'description': 'Search keyword'}, 'sort_key': {'type': 'string', 'description': 'Field to sort results by'}}}}, {'name': 'nasa/firms', 'description': 'NASA Fire Information for Resource Management System - fire data', 'inputSchema': {'type': 'object', 'properties': {'days': {'type': 'number', 'description': 'Number of days of data to retrieve'}, 'latitude': {'type': 'number', 'description': 'Latitude coordinate'}, 'longitude': {'type': 'number', 'description': 'Longitude coordinate'}}}}, {'name': 'nasa/images', 'description': "NASA Image and Video Library - search NASA's media archive", 'inputSchema': {'type': 'object', 'properties': {'q': {'type': 'string', 'description': 'Search query'}, 'page': {'type': 'number', 'description': 'Page number for pagination'}, 'year_end': {'type': 'string', 'description': 'End year for results'}, 'media_type': {'type': 'string', 'description': 'Media type (image, video, audio)'}, 'year_start': {'type': 'string', 'description': 'Start year for results'}}}}, {'name': 'nasa/exoplanet', 'description': 'NASA Exoplanet Archive - data about planets beyond our solar system', 'inputSchema': {'type': 'object', 'properties': {'limit': {'type': 'number', 'description': 'Maximum number of results'}, 'order': {'type': 'string', 'description': 'Ordering of results'}, 'table': {'type': 'string', 'description': 'Database table to query'}, 'where': {'type': 'string', 'description': 'Filter conditions'}, 'select': {'type': 'string', 'description': 'Columns to return'}}}}, {'name': 'nasa/donki', 'description': 'Space Weather Database Of Notifications, Knowledge, Information', 'inputSchema': {'type': 'object', 'properties': {'type': {'type': 'string', 'description': 'Type of space weather event'}, 'endDate': {'type': 'string', 'description': 'End date (YYYY-MM-DD)'}, 'startDate': {'type': 'string', 'description': 'Start date (YYYY-MM-DD)'}}}}, {'name': 'nasa/mars-rover', 'description': 'NASA Mars Rover Photos - images from Mars rovers', 'inputSchema': {'type': 'object', 'properties': {'sol': {'type': 'number', 'description': 'Martian sol (day) of the photos'}, 'page': {'type': 'number', 'description': 'Page number for pagination'}, 'rover': {'type': 'string', 'description': 'Name of the rover (curiosity, opportunity, spirit, perseverance)'}, 'camera': {'type': 'string', 'description': 'Camera name'}, 'earth_date': {'type': 'string', 'description': 'Earth date of the photos (YYYY-MM-DD)'}}}}, {'name': 'nasa/eonet', 'description': 'Earth Observatory Natural Event Tracker - natural events data', 'inputSchema': {'type': 'object', 'properties': {'days': {'type': 'number', 'description': 'Number of days to look back'}, 'limit': {'type': 'number', 'description': 'Maximum number of events to return'}, 'source': {'type': 'string', 'description': 'Data source'}, 'status': {'type': 'string', 'description': 'Event status (open, closed)'}, 'category': {'type': 'string', 'description': 'Event category (wildfires, volcanoes, etc.)'}}}}, {'name': 'nasa/sounds', 'description': 'NASA Sounds and Ringtones - audio from NASA missions', 'inputSchema': {'type': 'object', 'properties': {'q': {'type': 'string', 'description': 'Search query'}, 'limit': {'type': 'number', 'description': 'Maximum number of sounds to return'}}}}, {'name': 'nasa/power', 'description': 'Prediction of Worldwide Energy Resources - meteorological data', 'inputSchema': {'type': 'object', 'properties': {'end': {'type': 'string', 'description': 'End date (YYYYMMDD)'}, 'start': {'type': 'string', 'description': 'Start date (YYYYMMDD)'}, 'format': {'type': 'string', 'description': 'Response format (json, csv, etc.)'}, 'latitude': {'type': 'number', 'description': 'Latitude coordinate'}, 'community': {'type': 'string', 'description': 'User community (RE, SB, AG, etc.)'}, 'longitude': {'type': 'number', 'description': 'Longitude coordinate'}, 'parameters': {'type': 'string', 'description': 'Comma-separated data parameters'}}}}] |
@ProgramComputer/nasa-mcp-server | NASA MCP Server | Access NASA's vast array of data sources through a standardized interface for AI models. Retrieve and interact with over 20 NASA APIs seamlessly, ensuring optimized data formats for AI consumption. Experience automatic parameter validation and comprehensive documentation to enhance your development process. | 2025-03-06T01:01:11.573Z | 0 | https://smithery.ai/server/@ProgramComputer/nasa-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'nasa/apod', 'description': "Fetch NASA's Astronomy Picture of the Day", 'inputSchema': {'type': 'object', 'properties': {'date': {'type': 'string', 'description': 'The date of the APOD image to retrieve (YYYY-MM-DD)'}, 'count': {'type': 'number', 'description': 'Count of random APODs to retrieve'}, 'thumbs': {'type': 'boolean', 'description': 'Return URL of thumbnail for video content'}, 'end_date': {'type': 'string', 'description': 'End date for date range search (YYYY-MM-DD)'}, 'start_date': {'type': 'string', 'description': 'Start date for date range search (YYYY-MM-DD)'}}}}, {'name': 'nasa/neo', 'description': 'Near Earth Object Web Service - information about asteroids', 'inputSchema': {'type': 'object', 'properties': {'end_date': {'type': 'string', 'description': 'End date for asteroid search (YYYY-MM-DD)'}, 'start_date': {'type': 'string', 'description': 'Start date for asteroid search (YYYY-MM-DD)'}, 'asteroid_id': {'type': 'string', 'description': 'ID of a specific asteroid'}}}}, {'name': 'nasa/epic', 'description': 'Earth Polychromatic Imaging Camera - views of Earth', 'inputSchema': {'type': 'object', 'properties': {'date': {'type': 'string', 'description': 'Date of the image (YYYY-MM-DD)'}, 'collection': {'type': 'string', 'description': 'Image collection (natural or enhanced)'}}}}, {'name': 'nasa/gibs', 'description': 'Global Imagery Browse Services - satellite imagery', 'inputSchema': {'type': 'object', 'required': ['layer', 'date'], 'properties': {'date': {'type': 'string', 'description': 'Date of imagery (YYYY-MM-DD)'}, 'layer': {'type': 'string', 'description': 'Layer name (e.g., MODIS_Terra_CorrectedReflectance_TrueColor)'}, 'format': {'type': 'string', 'description': 'Image format (png, jpg, jpeg)'}, 'resolution': {'type': 'number', 'description': 'Resolution in pixels per degree'}}}}, {'name': 'nasa/cmr', 'description': 'NASA Common Metadata Repository - search for NASA data collections', 'inputSchema': {'type': 'object', 'properties': {'page': {'type': 'number', 'description': 'Page number for pagination'}, 'limit': {'type': 'number', 'description': 'Maximum number of results to return'}, 'keyword': {'type': 'string', 'description': 'Search keyword'}, 'sort_key': {'type': 'string', 'description': 'Field to sort results by'}}}}, {'name': 'nasa/firms', 'description': 'NASA Fire Information for Resource Management System - fire data', 'inputSchema': {'type': 'object', 'properties': {'days': {'type': 'number', 'description': 'Number of days of data to retrieve'}, 'latitude': {'type': 'number', 'description': 'Latitude coordinate'}, 'longitude': {'type': 'number', 'description': 'Longitude coordinate'}}}}, {'name': 'nasa/images', 'description': "NASA Image and Video Library - search NASA's media archive", 'inputSchema': {'type': 'object', 'properties': {'q': {'type': 'string', 'description': 'Search query'}, 'page': {'type': 'number', 'description': 'Page number for pagination'}, 'year_end': {'type': 'string', 'description': 'End year for results'}, 'media_type': {'type': 'string', 'description': 'Media type (image, video, audio)'}, 'year_start': {'type': 'string', 'description': 'Start year for results'}}}}, {'name': 'nasa/exoplanet', 'description': 'NASA Exoplanet Archive - data about planets beyond our solar system', 'inputSchema': {'type': 'object', 'properties': {'limit': {'type': 'number', 'description': 'Maximum number of results'}, 'order': {'type': 'string', 'description': 'Ordering of results'}, 'table': {'type': 'string', 'description': 'Database table to query'}, 'where': {'type': 'string', 'description': 'Filter conditions'}, 'select': {'type': 'string', 'description': 'Columns to return'}}}}, {'name': 'nasa/donki', 'description': 'Space Weather Database Of Notifications, Knowledge, Information', 'inputSchema': {'type': 'object', 'properties': {'type': {'type': 'string', 'description': 'Type of space weather event'}, 'endDate': {'type': 'string', 'description': 'End date (YYYY-MM-DD)'}, 'startDate': {'type': 'string', 'description': 'Start date (YYYY-MM-DD)'}}}}, {'name': 'nasa/mars-rover', 'description': 'NASA Mars Rover Photos - images from Mars rovers', 'inputSchema': {'type': 'object', 'properties': {'sol': {'type': 'number', 'description': 'Martian sol (day) of the photos'}, 'page': {'type': 'number', 'description': 'Page number for pagination'}, 'rover': {'type': 'string', 'description': 'Name of the rover (curiosity, opportunity, spirit, perseverance)'}, 'camera': {'type': 'string', 'description': 'Camera name'}, 'earth_date': {'type': 'string', 'description': 'Earth date of the photos (YYYY-MM-DD)'}}}}, {'name': 'nasa/eonet', 'description': 'Earth Observatory Natural Event Tracker - natural events data', 'inputSchema': {'type': 'object', 'properties': {'days': {'type': 'number', 'description': 'Number of days to look back'}, 'limit': {'type': 'number', 'description': 'Maximum number of events to return'}, 'source': {'type': 'string', 'description': 'Data source'}, 'status': {'type': 'string', 'description': 'Event status (open, closed)'}, 'category': {'type': 'string', 'description': 'Event category (wildfires, volcanoes, etc.)'}}}}, {'name': 'nasa/sounds', 'description': 'NASA Sounds and Ringtones - audio from NASA missions', 'inputSchema': {'type': 'object', 'properties': {'q': {'type': 'string', 'description': 'Search query'}, 'limit': {'type': 'number', 'description': 'Maximum number of sounds to return'}}}}, {'name': 'nasa/power', 'description': 'Prediction of Worldwide Energy Resources - meteorological data', 'inputSchema': {'type': 'object', 'properties': {'end': {'type': 'string', 'description': 'End date (YYYYMMDD)'}, 'start': {'type': 'string', 'description': 'Start date (YYYYMMDD)'}, 'format': {'type': 'string', 'description': 'Response format (json, csv, etc.)'}, 'latitude': {'type': 'number', 'description': 'Latitude coordinate'}, 'community': {'type': 'string', 'description': 'User community (RE, SB, AG, etc.)'}, 'longitude': {'type': 'number', 'description': 'Longitude coordinate'}, 'parameters': {'type': 'string', 'description': 'Comma-separated data parameters'}}}}] |
@huntsyea/mcp-tasks-organizer | Tasks Organizer | Convert AI-generated plans into structured markdown task lists and manage them efficiently in your repository. Automatically track and organize tasks with descriptive filenames and completion indicators. Enhance your productivity by integrating with Claude for Desktop and streamline your task management process. | 2025-03-11T04:00:44.057Z | 0 | https://smithery.ai/server/@huntsyea/mcp-tasks-organizer | true | null | {
"scanPassed": true
} | [{'name': 'create_task_list', 'description': 'Create a new task list and save it to the .tasks folder.\n \n Args:\n title: Title for the task list\n description: Short 2-3 word description for the filename (e.g., "refactor-authentication")\n repo_path: Path to the repository root (defaults to current directory)\n include_metadata: Whether to include creation date/time\n \n Returns:\n Path to the created task list file\n ', 'inputSchema': {'type': 'object', 'title': 'create_task_listArguments', 'required': ['title', 'description'], 'properties': {'title': {'type': 'string', 'title': 'Title'}, 'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'description': {'type': 'string', 'title': 'Description'}, 'include_metadata': {'type': 'boolean', 'title': 'Include Metadata', 'default': True}}}}, {'name': 'convert_plan_to_tasks', 'description': 'Convert a Cursor agent\'s plan text into a formatted Markdown task list and save it.\n \n Args:\n plan_text: The plan text from the Cursor agent\n title: Title for the task list\n description: Short 2-3 word description for the filename (e.g., "refactor-authentication")\n repo_path: Path to the repository root (defaults to current directory)\n include_metadata: Whether to include metadata like date and time\n \n Returns:\n Path to the created task list file\n ', 'inputSchema': {'type': 'object', 'title': 'convert_plan_to_tasksArguments', 'required': ['plan_text', 'title', 'description'], 'properties': {'title': {'type': 'string', 'title': 'Title'}, 'plan_text': {'type': 'string', 'title': 'Plan Text'}, 'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'description': {'type': 'string', 'title': 'Description'}, 'include_metadata': {'type': 'boolean', 'title': 'Include Metadata', 'default': True}}}}, {'name': 'add_task', 'description': 'Add a new task to an existing task list.\n \n Args:\n description: The description identifier of the task list file\n task_text: Text for the new task\n repo_path: Path to the repository root (defaults to current directory)\n section: Which section to add the task to (defaults to "Tasks")\n \n Returns:\n Updated markdown task list\n ', 'inputSchema': {'type': 'object', 'title': 'add_taskArguments', 'required': ['description', 'task_text'], 'properties': {'section': {'type': 'string', 'title': 'Section', 'default': 'Tasks'}, 'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'task_text': {'type': 'string', 'title': 'Task Text'}, 'description': {'type': 'string', 'title': 'Description'}}}}, {'name': 'mark_task_complete', 'description': 'Mark a specific task as completed.\n \n Args:\n description: The description identifier of the task list file\n task_number: The number of the task to mark as complete\n repo_path: Path to the repository root (defaults to current directory)\n section: Which section the task is in (defaults to "Tasks")\n \n Returns:\n Updated markdown task list\n ', 'inputSchema': {'type': 'object', 'title': 'mark_task_completeArguments', 'required': ['description', 'task_number'], 'properties': {'section': {'type': 'string', 'title': 'Section', 'default': 'Tasks'}, 'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'description': {'type': 'string', 'title': 'Description'}, 'task_number': {'type': 'integer', 'title': 'Task Number'}}}}, {'name': 'check_all_tasks_complete', 'description': 'Check if all tasks are complete and mark the task list as completed.\n \n Args:\n description: The description identifier of the task list file\n repo_path: Path to the repository root (defaults to current directory)\n \n Returns:\n Message indicating if the task list was marked as completed\n ', 'inputSchema': {'type': 'object', 'title': 'check_all_tasks_completeArguments', 'required': ['description'], 'properties': {'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'description': {'type': 'string', 'title': 'Description'}}}}, {'name': 'list_task_files', 'description': 'List all task files in the .tasks directory.\n \n Args:\n repo_path: Path to the repository root (defaults to current directory)\n include_completed: Whether to include completed task lists\n \n Returns:\n List of task files with their completion status\n ', 'inputSchema': {'type': 'object', 'title': 'list_task_filesArguments', 'properties': {'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'include_completed': {'type': 'boolean', 'title': 'Include Completed', 'default': True}}}}] |
@huntsyea/mcp-tasks-organizer | Tasks Organizer | Convert AI-generated plans into structured markdown task lists and manage them efficiently in your repository. Automatically track and organize tasks with descriptive filenames and completion indicators. Enhance your productivity by integrating with Claude for Desktop and streamline your task management process. | 2025-03-11T04:00:44.057Z | 0 | https://smithery.ai/server/@huntsyea/mcp-tasks-organizer | true | null | {
"scanPassed": true
} | [{'name': 'create_task_list', 'description': 'Create a new task list and save it to the .tasks folder.\n \n Args:\n title: Title for the task list\n description: Short 2-3 word description for the filename (e.g., "refactor-authentication")\n repo_path: Path to the repository root (defaults to current directory)\n include_metadata: Whether to include creation date/time\n \n Returns:\n Path to the created task list file\n ', 'inputSchema': {'type': 'object', 'title': 'create_task_listArguments', 'required': ['title', 'description'], 'properties': {'title': {'type': 'string', 'title': 'Title'}, 'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'description': {'type': 'string', 'title': 'Description'}, 'include_metadata': {'type': 'boolean', 'title': 'Include Metadata', 'default': True}}}}, {'name': 'convert_plan_to_tasks', 'description': 'Convert a Cursor agent\'s plan text into a formatted Markdown task list and save it.\n \n Args:\n plan_text: The plan text from the Cursor agent\n title: Title for the task list\n description: Short 2-3 word description for the filename (e.g., "refactor-authentication")\n repo_path: Path to the repository root (defaults to current directory)\n include_metadata: Whether to include metadata like date and time\n \n Returns:\n Path to the created task list file\n ', 'inputSchema': {'type': 'object', 'title': 'convert_plan_to_tasksArguments', 'required': ['plan_text', 'title', 'description'], 'properties': {'title': {'type': 'string', 'title': 'Title'}, 'plan_text': {'type': 'string', 'title': 'Plan Text'}, 'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'description': {'type': 'string', 'title': 'Description'}, 'include_metadata': {'type': 'boolean', 'title': 'Include Metadata', 'default': True}}}}, {'name': 'add_task', 'description': 'Add a new task to an existing task list.\n \n Args:\n description: The description identifier of the task list file\n task_text: Text for the new task\n repo_path: Path to the repository root (defaults to current directory)\n section: Which section to add the task to (defaults to "Tasks")\n \n Returns:\n Updated markdown task list\n ', 'inputSchema': {'type': 'object', 'title': 'add_taskArguments', 'required': ['description', 'task_text'], 'properties': {'section': {'type': 'string', 'title': 'Section', 'default': 'Tasks'}, 'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'task_text': {'type': 'string', 'title': 'Task Text'}, 'description': {'type': 'string', 'title': 'Description'}}}}, {'name': 'mark_task_complete', 'description': 'Mark a specific task as completed.\n \n Args:\n description: The description identifier of the task list file\n task_number: The number of the task to mark as complete\n repo_path: Path to the repository root (defaults to current directory)\n section: Which section the task is in (defaults to "Tasks")\n \n Returns:\n Updated markdown task list\n ', 'inputSchema': {'type': 'object', 'title': 'mark_task_completeArguments', 'required': ['description', 'task_number'], 'properties': {'section': {'type': 'string', 'title': 'Section', 'default': 'Tasks'}, 'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'description': {'type': 'string', 'title': 'Description'}, 'task_number': {'type': 'integer', 'title': 'Task Number'}}}}, {'name': 'check_all_tasks_complete', 'description': 'Check if all tasks are complete and mark the task list as completed.\n \n Args:\n description: The description identifier of the task list file\n repo_path: Path to the repository root (defaults to current directory)\n \n Returns:\n Message indicating if the task list was marked as completed\n ', 'inputSchema': {'type': 'object', 'title': 'check_all_tasks_completeArguments', 'required': ['description'], 'properties': {'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'description': {'type': 'string', 'title': 'Description'}}}}, {'name': 'list_task_files', 'description': 'List all task files in the .tasks directory.\n \n Args:\n repo_path: Path to the repository root (defaults to current directory)\n include_completed: Whether to include completed task lists\n \n Returns:\n List of task files with their completion status\n ', 'inputSchema': {'type': 'object', 'title': 'list_task_filesArguments', 'properties': {'repo_path': {'type': 'string', 'title': 'Repo Path', 'default': '.'}, 'include_completed': {'type': 'boolean', 'title': 'Include Completed', 'default': True}}}}] |
@ndchikin/reference-mcp | CiteAssist MCP | Retrieve citation data effortlessly from CiteAs and Google Scholar. Get BibTeX-formatted citations for your resources with just a few commands. Enhance your research workflow by integrating citation retrieval directly into your applications. | 2025-03-18T03:00:33.491Z | 7 | https://smithery.ai/server/@ndchikin/reference-mcp | true | null | {
"scanPassed": true
} | [{'name': 'get_citeas_data', 'description': 'Retrieve BibTeX-formatted citation for the specified `resource` (e.g., DOI, URL, keyword) from the CiteAs', 'inputSchema': {'type': 'object', 'title': 'get_citeas_dataArguments', 'required': ['resource'], 'properties': {'resource': {'type': 'string', 'title': 'Resource'}}}}, {'name': 'get_scholar_data', 'description': 'Retrieve `results` BibTeX-formatted citations for publications matching the `query` from the Google Scholar', 'inputSchema': {'type': 'object', 'title': 'get_scholar_dataArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'results': {'type': 'integer', 'title': 'Results', 'default': 2}}}}] |
@ndchikin/reference-mcp | CiteAssist MCP | Retrieve citation data effortlessly from CiteAs and Google Scholar. Get BibTeX-formatted citations for your resources with just a few commands. Enhance your research workflow by integrating citation retrieval directly into your applications. | 2025-03-18T03:00:33.491Z | 7 | https://smithery.ai/server/@ndchikin/reference-mcp | true | null | {
"scanPassed": true
} | [{'name': 'get_citeas_data', 'description': 'Retrieve BibTeX-formatted citation for the specified `resource` (e.g., DOI, URL, keyword) from the CiteAs', 'inputSchema': {'type': 'object', 'title': 'get_citeas_dataArguments', 'required': ['resource'], 'properties': {'resource': {'type': 'string', 'title': 'Resource'}}}}, {'name': 'get_scholar_data', 'description': 'Retrieve `results` BibTeX-formatted citations for publications matching the `query` from the Google Scholar', 'inputSchema': {'type': 'object', 'title': 'get_scholar_dataArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'results': {'type': 'integer', 'title': 'Results', 'default': 2}}}}] |
@ezyang/deskaid | Deskaid | Read, write, and edit files seamlessly with this server. Enhance your file management capabilities by leveraging powerful MCP tools for both text and image files. Experience efficient file operations with optional parameters for customization. | 2025-03-09T11:01:17.357Z | 0 | https://smithery.ai/server/@ezyang/deskaid | true | null | {
"scanPassed": true
} | [{'name': 'codemcp', 'description': 'If and only if the user explicitly asks you to initialize codemcp with\n path, you should invoke this tool. This will return instructions which you should\n IMMEDIATELY follow before continuing, in particular, it will explain other ways\n you can invoke this tool.\n\n If the user indicates they want to "amend" or "continue working" on a PR,\n you should set reuse_head_chat_id=True to continue using the same chat ID.\n\n In each subsequent request NOT including the initial request to initialize\n codemcp, you must call the UserPrompt tool with the user\'s verbatim\n request text.\n\n Arguments:\n subtool: The subtool to run (InitProject, ...)\n path: The path to the file or directory to operate on\n user_prompt: The user\'s original prompt verbatim, starting AFTER instructions to initialize codemcp (e.g., you should exclude "Initialize codemcp for PATH")\n subject_line: A short subject line in Git conventional commit format (for InitProject)\n reuse_head_chat_id: If True, reuse the chat ID from the HEAD commit instead of generating a new one (for InitProject)\n ... (there are other arguments which will be documented when you InitProject)\n ', 'inputSchema': {'type': 'object', 'title': 'codemcpArguments', 'required': ['subtool'], 'properties': {'mode': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Mode', 'default': None}, 'path': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Path', 'default': None}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}, 'chat_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Chat Id', 'default': None}, 'command': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Command', 'default': None}, 'content': {'title': 'Content', 'default': None}, 'include': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'new_str': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'New Str', 'default': None}, 'old_str': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Old Str', 'default': None}, 'pattern': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Pattern', 'default': None}, 'subtool': {'type': 'string', 'title': 'Subtool'}, 'thought': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Thought', 'default': None}, 'arguments': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Arguments', 'default': None}, 'new_string': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'New String', 'default': None}, 'old_string': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Old String', 'default': None}, 'description': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Description', 'default': None}, 'user_prompt': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'User Prompt', 'default': None}, 'subject_line': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Subject Line', 'default': None}, 'reuse_head_chat_id': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Reuse Head Chat Id', 'default': None}}}}] |
@ezyang/deskaid | Deskaid | Read, write, and edit files seamlessly with this server. Enhance your file management capabilities by leveraging powerful MCP tools for both text and image files. Experience efficient file operations with optional parameters for customization. | 2025-03-09T11:01:17.357Z | 0 | https://smithery.ai/server/@ezyang/deskaid | true | null | {
"scanPassed": true
} | [{'name': 'codemcp', 'description': 'If and only if the user explicitly asks you to initialize codemcp with\n path, you should invoke this tool. This will return instructions which you should\n IMMEDIATELY follow before continuing, in particular, it will explain other ways\n you can invoke this tool.\n\n If the user indicates they want to "amend" or "continue working" on a PR,\n you should set reuse_head_chat_id=True to continue using the same chat ID.\n\n In each subsequent request NOT including the initial request to initialize\n codemcp, you must call the UserPrompt tool with the user\'s verbatim\n request text.\n\n Arguments:\n subtool: The subtool to run (InitProject, ...)\n path: The path to the file or directory to operate on\n user_prompt: The user\'s original prompt verbatim, starting AFTER instructions to initialize codemcp (e.g., you should exclude "Initialize codemcp for PATH")\n subject_line: A short subject line in Git conventional commit format (for InitProject)\n reuse_head_chat_id: If True, reuse the chat ID from the HEAD commit instead of generating a new one (for InitProject)\n ... (there are other arguments which will be documented when you InitProject)\n ', 'inputSchema': {'type': 'object', 'title': 'codemcpArguments', 'required': ['subtool'], 'properties': {'mode': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Mode', 'default': None}, 'path': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Path', 'default': None}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}, 'chat_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Chat Id', 'default': None}, 'command': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Command', 'default': None}, 'content': {'title': 'Content', 'default': None}, 'include': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'new_str': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'New Str', 'default': None}, 'old_str': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Old Str', 'default': None}, 'pattern': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Pattern', 'default': None}, 'subtool': {'type': 'string', 'title': 'Subtool'}, 'thought': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Thought', 'default': None}, 'arguments': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Arguments', 'default': None}, 'new_string': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'New String', 'default': None}, 'old_string': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Old String', 'default': None}, 'description': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Description', 'default': None}, 'user_prompt': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'User Prompt', 'default': None}, 'subject_line': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Subject Line', 'default': None}, 'reuse_head_chat_id': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Reuse Head Chat Id', 'default': None}}}}] |
@kukapay/whale-tracker-mcp | Whale Tracker | Track and analyze large cryptocurrency transactions in real-time. Monitor whale activity directly within your LLM-powered workflows using the Whale Alert API. Get insights into recent transactions and detailed information effortlessly. | 2025-03-14T23:00:45.424Z | 0 | https://smithery.ai/server/@kukapay/whale-tracker-mcp | true | null | null | [{'name': 'get_recent_transactions', 'description': 'Fetch recent whale transactions, optionally filtered by blockchain and minimum value (USD).', 'inputSchema': {'type': 'object', 'title': 'get_recent_transactionsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}, 'min_value': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Min Value', 'default': 500000}, 'blockchain': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Blockchain', 'default': None}}}}, {'name': 'get_transaction_details', 'description': 'Fetch details of a specific whale transaction by its ID.', 'inputSchema': {'type': 'object', 'title': 'get_transaction_detailsArguments', 'required': ['transaction_id'], 'properties': {'transaction_id': {'type': 'string', 'title': 'Transaction Id'}}}}] |
@kukapay/whale-tracker-mcp | Whale Tracker | Track and analyze large cryptocurrency transactions in real-time. Monitor whale activity directly within your LLM-powered workflows using the Whale Alert API. Get insights into recent transactions and detailed information effortlessly. | 2025-03-14T23:00:45.424Z | 0 | https://smithery.ai/server/@kukapay/whale-tracker-mcp | true | null | null | [{'name': 'get_recent_transactions', 'description': 'Fetch recent whale transactions, optionally filtered by blockchain and minimum value (USD).', 'inputSchema': {'type': 'object', 'title': 'get_recent_transactionsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}, 'min_value': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Min Value', 'default': 500000}, 'blockchain': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Blockchain', 'default': None}}}}, {'name': 'get_transaction_details', 'description': 'Fetch details of a specific whale transaction by its ID.', 'inputSchema': {'type': 'object', 'title': 'get_transaction_detailsArguments', 'required': ['transaction_id'], 'properties': {'transaction_id': {'type': 'string', 'title': 'Transaction Id'}}}}] |
@AVIMBU/plausible-mcp-server | Plausible Analytics Server | Query your analytics data effortlessly. Generate insightful reports and daily overviews from your Plausible account with ease. Enhance your AI models' capabilities by integrating real-time analytics data. | 2025-03-19T08:54:00.597Z | 0 | https://smithery.ai/server/@AVIMBU/plausible-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'plausible_query', 'description': 'Query analytics data from Plausible', 'inputSchema': {'type': 'object', 'required': ['site_id', 'metrics', 'date_range'], 'properties': {'metrics': {'type': 'array', 'items': {'type': 'string'}, 'description': "String list of metrics to query with the following options: 'visitors' 'int' The number of unique visitors | 'visits' 'int' The number of visits/sessions | 'pageviews'\t'int' The number of pageview events\t | 'views_per_visit'\t'float' The number of pageviews divided by the number of visits.\t | 'bounce_rate'\t'float' Bounce rate percentage\t | 'visit_duration'\t'int' Visit duration in seconds\t | 'events'\t'int' The number of events (pageviews + custom events). When filtering by a goal, this metric corresponds to 'Total Conversions' in the dashboard.\t | 'scroll_depth'\t'int' Page scroll depth averaged per session\tRequires event:page filter or dimension being set | 'percentage'\t'float' The percentage of visitors of total who fall into this category\tRequires non-empty dimensions | 'conversion_rate'\t'float' The percentage of visitors who completed the goal.\tRequires non-empty dimensions, event:goal filter or dimension being set | 'group_conversion_rate'\t'float' The percentage of visitors who completed the goal with the same dimension. Requires: dimension list passed, an event:goal filter or event:goal dimension\tRequires non-empty dimensions, event:goal filter or dimension being set | 'average_revenue'\t'Revenue' or null\tAverage revenue per revenue goal conversion\tRequires revenue goals, event:goal filter or dimension for a relevant revenue goal. | 'total_revenue'\t'Revenue' or null\tTotal revenue from revenue goal conversions\tRequires revenue goals, event:goal filter or dimension for a relevant revenue goal."}, 'site_id': {'type': 'string', 'description': 'The domain of the site to query data for'}, 'date_range': {'type': 'string', 'description': 'Date range for the query, with the following options: ["2024-01-01", "2024-07-01"] Custom date range (ISO8601) | ["2024-01-01T12:00:00+02:00", "2024-01-01T15:59:59+02:00"] Custom date-time range (ISO8601) | "day"\tCurrent day (e.g. 2024-07-01) | "7d"\tLast 7 days relative to today | "30d"\tLast 30 days relative to today | "month" Since the start of the current month | "6mo" Last 6 months relative to start of this month | "12mo" Last 12 months relative to start of this month | "year" Since the start of this year | "all"'}}}}] |
@AVIMBU/plausible-mcp-server | Plausible Analytics Server | Query your analytics data effortlessly. Generate insightful reports and daily overviews from your Plausible account with ease. Enhance your AI models' capabilities by integrating real-time analytics data. | 2025-03-19T08:54:00.597Z | 0 | https://smithery.ai/server/@AVIMBU/plausible-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'plausible_query', 'description': 'Query analytics data from Plausible', 'inputSchema': {'type': 'object', 'required': ['site_id', 'metrics', 'date_range'], 'properties': {'metrics': {'type': 'array', 'items': {'type': 'string'}, 'description': "String list of metrics to query with the following options: 'visitors' 'int' The number of unique visitors | 'visits' 'int' The number of visits/sessions | 'pageviews'\t'int' The number of pageview events\t | 'views_per_visit'\t'float' The number of pageviews divided by the number of visits.\t | 'bounce_rate'\t'float' Bounce rate percentage\t | 'visit_duration'\t'int' Visit duration in seconds\t | 'events'\t'int' The number of events (pageviews + custom events). When filtering by a goal, this metric corresponds to 'Total Conversions' in the dashboard.\t | 'scroll_depth'\t'int' Page scroll depth averaged per session\tRequires event:page filter or dimension being set | 'percentage'\t'float' The percentage of visitors of total who fall into this category\tRequires non-empty dimensions | 'conversion_rate'\t'float' The percentage of visitors who completed the goal.\tRequires non-empty dimensions, event:goal filter or dimension being set | 'group_conversion_rate'\t'float' The percentage of visitors who completed the goal with the same dimension. Requires: dimension list passed, an event:goal filter or event:goal dimension\tRequires non-empty dimensions, event:goal filter or dimension being set | 'average_revenue'\t'Revenue' or null\tAverage revenue per revenue goal conversion\tRequires revenue goals, event:goal filter or dimension for a relevant revenue goal. | 'total_revenue'\t'Revenue' or null\tTotal revenue from revenue goal conversions\tRequires revenue goals, event:goal filter or dimension for a relevant revenue goal."}, 'site_id': {'type': 'string', 'description': 'The domain of the site to query data for'}, 'date_range': {'type': 'string', 'description': 'Date range for the query, with the following options: ["2024-01-01", "2024-07-01"] Custom date range (ISO8601) | ["2024-01-01T12:00:00+02:00", "2024-01-01T15:59:59+02:00"] Custom date-time range (ISO8601) | "day"\tCurrent day (e.g. 2024-07-01) | "7d"\tLast 7 days relative to today | "30d"\tLast 30 days relative to today | "month" Since the start of the current month | "6mo" Last 6 months relative to start of this month | "12mo" Last 12 months relative to start of this month | "year" Since the start of this year | "all"'}}}}] |
@3a3/fujitsu-sdt-mcp | Fujitsu Social Digital Twin Server | Enable natural language interaction with Fujitsu's Social Digital Twin and Digital Rehearsal API to run simulations, analyze results, and manage simulation data. Retrieve simulation lists, start simulations, compare scenarios, and generate simulation configurations from natural language. Simplify complex social and traffic simulations through intuitive LLM-driven commands. | 2025-04-21T05:00:11.492Z | 0 | https://smithery.ai/server/@3a3/fujitsu-sdt-mcp | true | null | null | [{'name': 'list_simulations', 'description': 'Returns a comprehensive list of all traffic simulations in the system, \nincluding their IDs, names, status, and execution timeframes.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'list_simulationsArguments', 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}}}}, {'name': 'start_simulation', 'description': 'Launches a new traffic simulation using the provided simulation dataset configuration, \nreturning the simulation ID and initial status.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'start_simulationArguments', 'required': ['simdata_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simdata_id': {'type': 'string', 'title': 'Simdata Id'}}}}, {'name': 'get_simulation_result', 'description': 'Retrieves the complete results and output files from a finished traffic simulation, \nincluding simulation status and generated result files.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_simulation_resultArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'get_metrics', 'description': 'Retrieves comprehensive metrics and analytics data from a completed simulation, including \ntravel statistics, emissions data, and traffic flow information.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_metricsArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'list_simdata', 'description': 'Returns a complete list of all simulation datasets available in the system, \nwhich can be used as inputs for running new simulations.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'list_simdataArguments', 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}}}}, {'name': 'get_simdata', 'description': 'Retrieves the complete configuration and parameter set for a specific simulation dataset, \nincluding region settings, time ranges, and scenario parameters.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_simdataArguments', 'required': ['simdata_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simdata_id': {'type': 'string', 'title': 'Simdata Id'}}}}, {'name': 'analyze_traffic_simulation', 'description': 'Conducts comprehensive analysis on simulation results, providing insights on traffic patterns, \nbottlenecks, and optimization opportunities for the specified parameters.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'analyze_traffic_simulationArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'region': {'type': 'string', 'title': 'Region', 'default': 'unknown'}, 'scenario': {'type': 'string', 'title': 'Scenario', 'default': 'unknown'}, 'time_range': {'type': 'string', 'title': 'Time Range', 'default': 'unknown'}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'compare_scenarios', 'description': 'Performs detailed comparative analysis between two simulation scenarios, highlighting differences \nin traffic flow, emissions, travel times, and other key metrics.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'compare_scenariosArguments', 'required': ['simulation_id1', 'simulation_id2'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'scenario1_name': {'type': 'string', 'title': 'Scenario1 Name', 'default': 'Scenario 1'}, 'scenario2_name': {'type': 'string', 'title': 'Scenario2 Name', 'default': 'Scenario 2'}, 'simulation_id1': {'type': 'string', 'title': 'Simulation Id1'}, 'simulation_id2': {'type': 'string', 'title': 'Simulation Id2'}}}}, {'name': 'create_natural_language_simulation_config', 'description': 'Converts a natural language description into a structured simulation configuration, \ninterpreting user requirements into technical parameters for traffic simulation.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'create_natural_language_simulation_configArguments', 'required': ['description'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'description': {'type': 'string', 'title': 'Description'}}}}, {'name': 'create_simulation_from_usecase', 'description': '指定されたユースケースとアップロードされたファイルからシミュレーションを作成・実行します。', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'create_simulation_from_usecaseArguments', 'required': ['usecase', 'uploaded_files', 'simulation_params'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'usecase': {'type': 'string', 'title': 'Usecase'}, 'uploaded_files': {'type': 'object', 'title': 'Uploaded Files', 'additionalProperties': {'type': 'string'}}, 'simulation_params': {'type': 'object', 'title': 'Simulation Params', 'additionalProperties': True}}}}] |
@3a3/fujitsu-sdt-mcp | Fujitsu Social Digital Twin Server | Enable natural language interaction with Fujitsu's Social Digital Twin and Digital Rehearsal API to run simulations, analyze results, and manage simulation data. Retrieve simulation lists, start simulations, compare scenarios, and generate simulation configurations from natural language. Simplify complex social and traffic simulations through intuitive LLM-driven commands. | 2025-04-21T05:00:11.492Z | 0 | https://smithery.ai/server/@3a3/fujitsu-sdt-mcp | true | null | null | [{'name': 'list_simulations', 'description': 'Returns a comprehensive list of all traffic simulations in the system, \nincluding their IDs, names, status, and execution timeframes.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'list_simulationsArguments', 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}}}}, {'name': 'start_simulation', 'description': 'Launches a new traffic simulation using the provided simulation dataset configuration, \nreturning the simulation ID and initial status.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'start_simulationArguments', 'required': ['simdata_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simdata_id': {'type': 'string', 'title': 'Simdata Id'}}}}, {'name': 'get_simulation_result', 'description': 'Retrieves the complete results and output files from a finished traffic simulation, \nincluding simulation status and generated result files.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_simulation_resultArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'get_metrics', 'description': 'Retrieves comprehensive metrics and analytics data from a completed simulation, including \ntravel statistics, emissions data, and traffic flow information.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_metricsArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'list_simdata', 'description': 'Returns a complete list of all simulation datasets available in the system, \nwhich can be used as inputs for running new simulations.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'list_simdataArguments', 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}}}}, {'name': 'get_simdata', 'description': 'Retrieves the complete configuration and parameter set for a specific simulation dataset, \nincluding region settings, time ranges, and scenario parameters.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_simdataArguments', 'required': ['simdata_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simdata_id': {'type': 'string', 'title': 'Simdata Id'}}}}, {'name': 'analyze_traffic_simulation', 'description': 'Conducts comprehensive analysis on simulation results, providing insights on traffic patterns, \nbottlenecks, and optimization opportunities for the specified parameters.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'analyze_traffic_simulationArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'region': {'type': 'string', 'title': 'Region', 'default': 'unknown'}, 'scenario': {'type': 'string', 'title': 'Scenario', 'default': 'unknown'}, 'time_range': {'type': 'string', 'title': 'Time Range', 'default': 'unknown'}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'compare_scenarios', 'description': 'Performs detailed comparative analysis between two simulation scenarios, highlighting differences \nin traffic flow, emissions, travel times, and other key metrics.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'compare_scenariosArguments', 'required': ['simulation_id1', 'simulation_id2'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'scenario1_name': {'type': 'string', 'title': 'Scenario1 Name', 'default': 'Scenario 1'}, 'scenario2_name': {'type': 'string', 'title': 'Scenario2 Name', 'default': 'Scenario 2'}, 'simulation_id1': {'type': 'string', 'title': 'Simulation Id1'}, 'simulation_id2': {'type': 'string', 'title': 'Simulation Id2'}}}}, {'name': 'create_natural_language_simulation_config', 'description': 'Converts a natural language description into a structured simulation configuration, \ninterpreting user requirements into technical parameters for traffic simulation.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'create_natural_language_simulation_configArguments', 'required': ['description'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'description': {'type': 'string', 'title': 'Description'}}}}, {'name': 'create_simulation_from_usecase', 'description': '指定されたユースケースとアップロードされたファイルからシミュレーションを作成・実行します。', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'create_simulation_from_usecaseArguments', 'required': ['usecase', 'uploaded_files', 'simulation_params'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'usecase': {'type': 'string', 'title': 'Usecase'}, 'uploaded_files': {'type': 'object', 'title': 'Uploaded Files', 'additionalProperties': {'type': 'string'}}, 'simulation_params': {'type': 'object', 'title': 'Simulation Params', 'additionalProperties': True}}}}] |
@jjikky/dynamo-readonly-mcp | DynamoDB Read-Only Server | Query AWS DynamoDB databases using natural language requests. Access and manage your DynamoDB data effortlessly through a user-friendly interface. Simplify your data interactions and enhance your LLM capabilities with seamless integration. | 2025-03-26T09:00:40.280Z | 0 | https://smithery.ai/server/@jjikky/dynamo-readonly-mcp | true | null | null | [{'name': 'list-tables', 'description': 'Get a list of all DynamoDB tables', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'describe-table', 'description': 'Get detailed information about a DynamoDB table', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName'], 'properties': {'tableName': {'type': 'string', 'description': 'Name of the table to get details for'}}, 'additionalProperties': False}}, {'name': 'scan-table', 'description': 'Scan items from a DynamoDB table', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName'], 'properties': {'limit': {'type': 'number', 'description': 'Maximum number of items to return (default: 20)'}, 'tableName': {'type': 'string', 'description': 'Name of the table to scan'}, 'filterExpression': {'type': 'string', 'description': "Filter expression (e.g: 'age > :minAge')"}, 'projectionExpression': {'type': 'string', 'description': 'Projection expression (e.g: "id")'}, 'expressionAttributeValues': {'type': 'object', 'description': 'Filter expression attribute values (JSON format)', 'additionalProperties': {}}}, 'additionalProperties': False}}, {'name': 'query-table', 'description': 'Query items from a DynamoDB table based on conditions', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName', 'keyConditionExpression', 'expressionAttributeValues'], 'properties': {'limit': {'type': 'number', 'description': 'Maximum number of items to return'}, 'indexName': {'type': 'string', 'description': 'Name of the index to use (optional)'}, 'tableName': {'type': 'string', 'description': 'Name of the table to query'}, 'filterExpression': {'type': 'string', 'description': 'Filter expression (optional)'}, 'projectionExpression': {'type': 'string', 'description': 'Projection expression (optional)'}, 'keyConditionExpression': {'type': 'string', 'description': "Key condition expression (e.g: 'PK = :pk')"}, 'expressionAttributeValues': {'type': 'object', 'description': 'Filter expression attribute values (JSON format)', 'additionalProperties': {}}}, 'additionalProperties': False}}, {'name': 'paginate-query-table', 'description': 'Paginate query results', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName', 'keyConditionExpression', 'expressionAttributeValues'], 'properties': {'tableName': {'type': 'string', 'description': 'Table name'}, 'projectionExpression': {'type': 'string', 'description': 'Projection expression (optional)'}, 'keyConditionExpression': {'type': 'string', 'description': "Key condition expression (e.g: 'PK = :pk')"}, 'expressionAttributeValues': {'type': 'object', 'description': 'Filter expression attribute values (JSON format)', 'additionalProperties': {}}}, 'additionalProperties': False}}, {'name': 'get-item', 'description': 'Get an item from a DynamoDB table based on a specific key', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName', 'key'], 'properties': {'key': {'type': 'object', 'description': 'Item key (JSON format)', 'additionalProperties': {}}, 'tableName': {'type': 'string', 'description': 'Table name'}}, 'additionalProperties': False}}, {'name': 'count-items', 'description': 'Count items in a DynamoDB table', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName'], 'properties': {'tableName': {'type': 'string', 'description': 'Table name'}, 'filterExpression': {'type': 'string', 'description': 'Filter expression (optional)'}, 'expressionAttributeValues': {'type': 'object', 'description': 'Filter expression attribute values (optional)', 'additionalProperties': {}}}, 'additionalProperties': False}}] |
@jjikky/dynamo-readonly-mcp | DynamoDB Read-Only Server | Query AWS DynamoDB databases using natural language requests. Access and manage your DynamoDB data effortlessly through a user-friendly interface. Simplify your data interactions and enhance your LLM capabilities with seamless integration. | 2025-03-26T09:00:40.280Z | 0 | https://smithery.ai/server/@jjikky/dynamo-readonly-mcp | true | null | null | [{'name': 'list-tables', 'description': 'Get a list of all DynamoDB tables', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'describe-table', 'description': 'Get detailed information about a DynamoDB table', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName'], 'properties': {'tableName': {'type': 'string', 'description': 'Name of the table to get details for'}}, 'additionalProperties': False}}, {'name': 'scan-table', 'description': 'Scan items from a DynamoDB table', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName'], 'properties': {'limit': {'type': 'number', 'description': 'Maximum number of items to return (default: 20)'}, 'tableName': {'type': 'string', 'description': 'Name of the table to scan'}, 'filterExpression': {'type': 'string', 'description': "Filter expression (e.g: 'age > :minAge')"}, 'projectionExpression': {'type': 'string', 'description': 'Projection expression (e.g: "id")'}, 'expressionAttributeValues': {'type': 'object', 'description': 'Filter expression attribute values (JSON format)', 'additionalProperties': {}}}, 'additionalProperties': False}}, {'name': 'query-table', 'description': 'Query items from a DynamoDB table based on conditions', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName', 'keyConditionExpression', 'expressionAttributeValues'], 'properties': {'limit': {'type': 'number', 'description': 'Maximum number of items to return'}, 'indexName': {'type': 'string', 'description': 'Name of the index to use (optional)'}, 'tableName': {'type': 'string', 'description': 'Name of the table to query'}, 'filterExpression': {'type': 'string', 'description': 'Filter expression (optional)'}, 'projectionExpression': {'type': 'string', 'description': 'Projection expression (optional)'}, 'keyConditionExpression': {'type': 'string', 'description': "Key condition expression (e.g: 'PK = :pk')"}, 'expressionAttributeValues': {'type': 'object', 'description': 'Filter expression attribute values (JSON format)', 'additionalProperties': {}}}, 'additionalProperties': False}}, {'name': 'paginate-query-table', 'description': 'Paginate query results', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName', 'keyConditionExpression', 'expressionAttributeValues'], 'properties': {'tableName': {'type': 'string', 'description': 'Table name'}, 'projectionExpression': {'type': 'string', 'description': 'Projection expression (optional)'}, 'keyConditionExpression': {'type': 'string', 'description': "Key condition expression (e.g: 'PK = :pk')"}, 'expressionAttributeValues': {'type': 'object', 'description': 'Filter expression attribute values (JSON format)', 'additionalProperties': {}}}, 'additionalProperties': False}}, {'name': 'get-item', 'description': 'Get an item from a DynamoDB table based on a specific key', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName', 'key'], 'properties': {'key': {'type': 'object', 'description': 'Item key (JSON format)', 'additionalProperties': {}}, 'tableName': {'type': 'string', 'description': 'Table name'}}, 'additionalProperties': False}}, {'name': 'count-items', 'description': 'Count items in a DynamoDB table', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['tableName'], 'properties': {'tableName': {'type': 'string', 'description': 'Table name'}, 'filterExpression': {'type': 'string', 'description': 'Filter expression (optional)'}, 'expressionAttributeValues': {'type': 'object', 'description': 'Filter expression attribute values (optional)', 'additionalProperties': {}}}, 'additionalProperties': False}}] |
@gandli/yanyue-mcp | Yanyue Cigarette Data | Fetch cigarette data from Yanyue by searching for cigarette information based on keywords. Integrate cigarette data retrieval seamlessly into your MCP client workflows. Enhance your applications with up-to-date cigarette information from Yanyue.cn. | 2025-04-16T19:31:28.464Z | 0 | https://smithery.ai/server/@gandli/yanyue-mcp | true | {
"scanPassed": true
} | [{'name': 'searchCigarettes', 'description': '根据关键词搜索卷烟信息', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['keyword'], 'properties': {'keyword': {'type': 'string', 'minLength': 1, 'description': '搜索关键词'}}, 'additionalProperties': False}}] |
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@gandli/yanyue-mcp | Yanyue Cigarette Data | Fetch cigarette data from Yanyue by searching for cigarette information based on keywords. Integrate cigarette data retrieval seamlessly into your MCP client workflows. Enhance your applications with up-to-date cigarette information from Yanyue.cn. | 2025-04-16T19:31:28.464Z | 0 | https://smithery.ai/server/@gandli/yanyue-mcp | true | {
"scanPassed": true
} | [{'name': 'searchCigarettes', 'description': '根据关键词搜索卷烟信息', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['keyword'], 'properties': {'keyword': {'type': 'string', 'minLength': 1, 'description': '搜索关键词'}}, 'additionalProperties': False}}] |
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@devhub/devhub-cms-mcp | DevHub CMS Integration | Manage your content seamlessly within the DevHub CMS system. Utilize powerful tools to create, update, and retrieve blog posts and media, all through a simple interface. Enhance your content management experience with the capabilities of Large Language Models without direct API integration. | 2025-03-17T21:00:52.730Z | 0 | https://smithery.ai/server/@devhub/devhub-cms-mcp | true | null | {
"scanPassed": true
} | [{'name': 'get_hours_of_operation', 'description': 'Get the hours of operation for a DevHub location\n\n Returns a list of items representing days of the week\n\n Except for the special case formatting, this object is a list of 7 items which represent each day.\n\n Each day can can have one-four time ranges. For example, two time ranges denotes a "lunch-break". No time ranges denotes closed.\n\n Examples:\n 9am-5pm [["09:00:00", "17:00:00"]]\n 9am-12pm and 1pm-5pm [["09:00:00", "12:00:00"], ["13:00:00", "17:00:00"]]\n Closed - an empty list []\n\n Args:\n location_id: DevHub Location ID\n hours_type: Defaults to \'primary\' unless the user specifies a different type\n ', 'inputSchema': {'type': 'object', 'title': 'get_hours_of_operationArguments', 'required': ['location_id'], 'properties': {'hours_type': {'type': 'string', 'title': 'Hours Type', 'default': 'primary'}, 'location_id': {'type': 'integer', 'title': 'Location Id'}}}}, {'name': 'update_hours', 'description': 'Update the hours of operation for a DevHub location\n\n Send a list of items representing days of the week\n\n Except for the special case formatting, this object is a list of 7 items which represent each day.\n\n Each day can can have one-four time ranges. For example, two time ranges denotes a "lunch-break". No time ranges denotes closed.\n\n Examples:\n 9am-5pm [["09:00:00", "17:00:00"]]\n 9am-12pm and 1pm-5pm [["09:00:00", "12:00:00"], ["13:00:00", "17:00:00"]]\n Closed - an empty list []\n\n Args:\n location_id: DevHub Location ID\n new_hours: Structured format of the new hours\n hours_type: Defaults to \'primary\' unless the user specifies a different type\n ', 'inputSchema': {'type': 'object', 'title': 'update_hoursArguments', 'required': ['location_id', 'new_hours'], 'properties': {'new_hours': {'type': 'array', 'items': {}, 'title': 'New Hours'}, 'hours_type': {'type': 'string', 'title': 'Hours Type', 'default': 'primary'}, 'location_id': {'type': 'integer', 'title': 'Location Id'}}}}, {'name': 'upload_image', 'description': 'Upload an image to the DevHub media gallery\n\n Supports webp, jpeg and png images\n\n Args:\n base64_image_content: Base 64 encoded content of the image file\n filename: Filename including the extension\n ', 'inputSchema': {'type': 'object', 'title': 'upload_imageArguments', 'required': ['base64_image_content', 'filename'], 'properties': {'filename': {'type': 'string', 'title': 'Filename'}, 'base64_image_content': {'type': 'string', 'title': 'Base64 Image Content'}}}}, {'name': 'get_blog_post', 'description': 'Get a single blog post\n\n Args:\n post_id: Blog post id\n ', 'inputSchema': {'type': 'object', 'title': 'get_blog_postArguments', 'required': ['post_id'], 'properties': {'post_id': {'type': 'integer', 'title': 'Post Id'}}}}, {'name': 'create_blog_post', 'description': 'Create a new blog post\n\n Args:\n site_id: Website ID where the post will be published. Prompt the user for this ID.\n title: Blog post title\n content: HTML content of blog post. Should not include a <h1> tag, only h2+\n ', 'inputSchema': {'type': 'object', 'title': 'create_blog_postArguments', 'required': ['site_id', 'title', 'content'], 'properties': {'title': {'type': 'string', 'title': 'Title'}, 'content': {'type': 'string', 'title': 'Content'}, 'site_id': {'type': 'integer', 'title': 'Site Id'}}}}, {'name': 'update_blog_post', 'description': 'Update a single blog post\n\n Args:\n post_id: Blog post ID\n title: Blog post title\n content: HTML content of blog post. Should not include a <h1> tag, only h2+\n ', 'inputSchema': {'type': 'object', 'title': 'update_blog_postArguments', 'required': ['post_id'], 'properties': {'title': {'type': 'string', 'title': 'Title', 'default': None}, 'content': {'type': 'string', 'title': 'Content', 'default': None}, 'post_id': {'type': 'integer', 'title': 'Post Id'}}}}, {'name': 'get_nearest_location', 'description': 'Get the nearest DevHub location\n\n Args:\n business_id: DevHub Business ID associated with the location. Prompt the user for this ID\n latitude: Latitude of the location\n longitude: Longitude of the location\n ', 'inputSchema': {'type': 'object', 'title': 'get_nearest_locationArguments', 'required': ['business_id', 'latitude', 'longitude'], 'properties': {'latitude': {'type': 'number', 'title': 'Latitude'}, 'longitude': {'type': 'number', 'title': 'Longitude'}, 'business_id': {'type': 'integer', 'title': 'Business Id'}}}}] |
@devhub/devhub-cms-mcp | DevHub CMS Integration | Manage your content seamlessly within the DevHub CMS system. Utilize powerful tools to create, update, and retrieve blog posts and media, all through a simple interface. Enhance your content management experience with the capabilities of Large Language Models without direct API integration. | 2025-03-17T21:00:52.730Z | 0 | https://smithery.ai/server/@devhub/devhub-cms-mcp | true | null | {
"scanPassed": true
} | [{'name': 'get_hours_of_operation', 'description': 'Get the hours of operation for a DevHub location\n\n Returns a list of items representing days of the week\n\n Except for the special case formatting, this object is a list of 7 items which represent each day.\n\n Each day can can have one-four time ranges. For example, two time ranges denotes a "lunch-break". No time ranges denotes closed.\n\n Examples:\n 9am-5pm [["09:00:00", "17:00:00"]]\n 9am-12pm and 1pm-5pm [["09:00:00", "12:00:00"], ["13:00:00", "17:00:00"]]\n Closed - an empty list []\n\n Args:\n location_id: DevHub Location ID\n hours_type: Defaults to \'primary\' unless the user specifies a different type\n ', 'inputSchema': {'type': 'object', 'title': 'get_hours_of_operationArguments', 'required': ['location_id'], 'properties': {'hours_type': {'type': 'string', 'title': 'Hours Type', 'default': 'primary'}, 'location_id': {'type': 'integer', 'title': 'Location Id'}}}}, {'name': 'update_hours', 'description': 'Update the hours of operation for a DevHub location\n\n Send a list of items representing days of the week\n\n Except for the special case formatting, this object is a list of 7 items which represent each day.\n\n Each day can can have one-four time ranges. For example, two time ranges denotes a "lunch-break". No time ranges denotes closed.\n\n Examples:\n 9am-5pm [["09:00:00", "17:00:00"]]\n 9am-12pm and 1pm-5pm [["09:00:00", "12:00:00"], ["13:00:00", "17:00:00"]]\n Closed - an empty list []\n\n Args:\n location_id: DevHub Location ID\n new_hours: Structured format of the new hours\n hours_type: Defaults to \'primary\' unless the user specifies a different type\n ', 'inputSchema': {'type': 'object', 'title': 'update_hoursArguments', 'required': ['location_id', 'new_hours'], 'properties': {'new_hours': {'type': 'array', 'items': {}, 'title': 'New Hours'}, 'hours_type': {'type': 'string', 'title': 'Hours Type', 'default': 'primary'}, 'location_id': {'type': 'integer', 'title': 'Location Id'}}}}, {'name': 'upload_image', 'description': 'Upload an image to the DevHub media gallery\n\n Supports webp, jpeg and png images\n\n Args:\n base64_image_content: Base 64 encoded content of the image file\n filename: Filename including the extension\n ', 'inputSchema': {'type': 'object', 'title': 'upload_imageArguments', 'required': ['base64_image_content', 'filename'], 'properties': {'filename': {'type': 'string', 'title': 'Filename'}, 'base64_image_content': {'type': 'string', 'title': 'Base64 Image Content'}}}}, {'name': 'get_blog_post', 'description': 'Get a single blog post\n\n Args:\n post_id: Blog post id\n ', 'inputSchema': {'type': 'object', 'title': 'get_blog_postArguments', 'required': ['post_id'], 'properties': {'post_id': {'type': 'integer', 'title': 'Post Id'}}}}, {'name': 'create_blog_post', 'description': 'Create a new blog post\n\n Args:\n site_id: Website ID where the post will be published. Prompt the user for this ID.\n title: Blog post title\n content: HTML content of blog post. Should not include a <h1> tag, only h2+\n ', 'inputSchema': {'type': 'object', 'title': 'create_blog_postArguments', 'required': ['site_id', 'title', 'content'], 'properties': {'title': {'type': 'string', 'title': 'Title'}, 'content': {'type': 'string', 'title': 'Content'}, 'site_id': {'type': 'integer', 'title': 'Site Id'}}}}, {'name': 'update_blog_post', 'description': 'Update a single blog post\n\n Args:\n post_id: Blog post ID\n title: Blog post title\n content: HTML content of blog post. Should not include a <h1> tag, only h2+\n ', 'inputSchema': {'type': 'object', 'title': 'update_blog_postArguments', 'required': ['post_id'], 'properties': {'title': {'type': 'string', 'title': 'Title', 'default': None}, 'content': {'type': 'string', 'title': 'Content', 'default': None}, 'post_id': {'type': 'integer', 'title': 'Post Id'}}}}, {'name': 'get_nearest_location', 'description': 'Get the nearest DevHub location\n\n Args:\n business_id: DevHub Business ID associated with the location. Prompt the user for this ID\n latitude: Latitude of the location\n longitude: Longitude of the location\n ', 'inputSchema': {'type': 'object', 'title': 'get_nearest_locationArguments', 'required': ['business_id', 'latitude', 'longitude'], 'properties': {'latitude': {'type': 'number', 'title': 'Latitude'}, 'longitude': {'type': 'number', 'title': 'Longitude'}, 'business_id': {'type': 'integer', 'title': 'Business Id'}}}}] |
@devhub/devhub-cms-mcp | DevHub CMS Integration | Manage your content seamlessly within the DevHub CMS system. Utilize powerful tools to create, update, and retrieve blog posts and media, all through a simple interface. Enhance your content management experience with the capabilities of Large Language Models without direct API integration. | 2025-03-17T21:00:52.730Z | 0 | https://smithery.ai/server/@devhub/devhub-cms-mcp | true | null | {
"scanPassed": true
} | [{'name': 'get_hours_of_operation', 'description': 'Get the hours of operation for a DevHub location\n\n Returns a list of items representing days of the week\n\n Except for the special case formatting, this object is a list of 7 items which represent each day.\n\n Each day can can have one-four time ranges. For example, two time ranges denotes a "lunch-break". No time ranges denotes closed.\n\n Examples:\n 9am-5pm [["09:00:00", "17:00:00"]]\n 9am-12pm and 1pm-5pm [["09:00:00", "12:00:00"], ["13:00:00", "17:00:00"]]\n Closed - an empty list []\n\n Args:\n location_id: DevHub Location ID\n hours_type: Defaults to \'primary\' unless the user specifies a different type\n ', 'inputSchema': {'type': 'object', 'title': 'get_hours_of_operationArguments', 'required': ['location_id'], 'properties': {'hours_type': {'type': 'string', 'title': 'Hours Type', 'default': 'primary'}, 'location_id': {'type': 'integer', 'title': 'Location Id'}}}}, {'name': 'update_hours', 'description': 'Update the hours of operation for a DevHub location\n\n Send a list of items representing days of the week\n\n Except for the special case formatting, this object is a list of 7 items which represent each day.\n\n Each day can can have one-four time ranges. For example, two time ranges denotes a "lunch-break". No time ranges denotes closed.\n\n Examples:\n 9am-5pm [["09:00:00", "17:00:00"]]\n 9am-12pm and 1pm-5pm [["09:00:00", "12:00:00"], ["13:00:00", "17:00:00"]]\n Closed - an empty list []\n\n Args:\n location_id: DevHub Location ID\n new_hours: Structured format of the new hours\n hours_type: Defaults to \'primary\' unless the user specifies a different type\n ', 'inputSchema': {'type': 'object', 'title': 'update_hoursArguments', 'required': ['location_id', 'new_hours'], 'properties': {'new_hours': {'type': 'array', 'items': {}, 'title': 'New Hours'}, 'hours_type': {'type': 'string', 'title': 'Hours Type', 'default': 'primary'}, 'location_id': {'type': 'integer', 'title': 'Location Id'}}}}, {'name': 'upload_image', 'description': 'Upload an image to the DevHub media gallery\n\n Supports webp, jpeg and png images\n\n Args:\n base64_image_content: Base 64 encoded content of the image file\n filename: Filename including the extension\n ', 'inputSchema': {'type': 'object', 'title': 'upload_imageArguments', 'required': ['base64_image_content', 'filename'], 'properties': {'filename': {'type': 'string', 'title': 'Filename'}, 'base64_image_content': {'type': 'string', 'title': 'Base64 Image Content'}}}}, {'name': 'get_blog_post', 'description': 'Get a single blog post\n\n Args:\n post_id: Blog post id\n ', 'inputSchema': {'type': 'object', 'title': 'get_blog_postArguments', 'required': ['post_id'], 'properties': {'post_id': {'type': 'integer', 'title': 'Post Id'}}}}, {'name': 'create_blog_post', 'description': 'Create a new blog post\n\n Args:\n site_id: Website ID where the post will be published. Prompt the user for this ID.\n title: Blog post title\n content: HTML content of blog post. Should not include a <h1> tag, only h2+\n ', 'inputSchema': {'type': 'object', 'title': 'create_blog_postArguments', 'required': ['site_id', 'title', 'content'], 'properties': {'title': {'type': 'string', 'title': 'Title'}, 'content': {'type': 'string', 'title': 'Content'}, 'site_id': {'type': 'integer', 'title': 'Site Id'}}}}, {'name': 'update_blog_post', 'description': 'Update a single blog post\n\n Args:\n post_id: Blog post ID\n title: Blog post title\n content: HTML content of blog post. Should not include a <h1> tag, only h2+\n ', 'inputSchema': {'type': 'object', 'title': 'update_blog_postArguments', 'required': ['post_id'], 'properties': {'title': {'type': 'string', 'title': 'Title', 'default': None}, 'content': {'type': 'string', 'title': 'Content', 'default': None}, 'post_id': {'type': 'integer', 'title': 'Post Id'}}}}, {'name': 'get_nearest_location', 'description': 'Get the nearest DevHub location\n\n Args:\n business_id: DevHub Business ID associated with the location. Prompt the user for this ID\n latitude: Latitude of the location\n longitude: Longitude of the location\n ', 'inputSchema': {'type': 'object', 'title': 'get_nearest_locationArguments', 'required': ['business_id', 'latitude', 'longitude'], 'properties': {'latitude': {'type': 'number', 'title': 'Latitude'}, 'longitude': {'type': 'number', 'title': 'Longitude'}, 'business_id': {'type': 'integer', 'title': 'Business Id'}}}}] |
@Yaxin9Luo/openai_agent_library_mcp | OpenAI Agent Library | Enhance your applications with powerful language model capabilities. Integrate seamlessly with external data and tools to create intelligent agents that can perform complex tasks. Empower your projects with dynamic interactions and real-world data manipulation. | 2025-03-23T18:10:48.364Z | 0 | https://smithery.ai/server/@Yaxin9Luo/openai_agent_library_mcp | true | null | {
"scanPassed": true
} | [{'name': 'search_docs', 'description': 'Search for a specific term across OpenAI Agents SDK documentation.', 'inputSchema': {'type': 'object', 'title': 'search_docsArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}}}}, {'name': 'search_github', 'description': 'Search for a specific term across the GitHub repository.', 'inputSchema': {'type': 'object', 'title': 'search_githubArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}}}}, {'name': 'get_section', 'description': 'Get a specific section from a documentation page.', 'inputSchema': {'type': 'object', 'title': 'get_sectionArguments', 'required': ['page', 'section'], 'properties': {'page': {'type': 'string', 'title': 'Page'}, 'section': {'type': 'string', 'title': 'Section'}}}}, {'name': 'search_files', 'description': 'Search for files by name across the GitHub repository.\n \n Args:\n filename_pattern: Part of the filename to search for. Can be a full filename or a partial name.\n \n Returns:\n JSON array of matching files with their paths and URLs.\n ', 'inputSchema': {'type': 'object', 'title': 'search_filesArguments', 'required': ['filename_pattern'], 'properties': {'filename_pattern': {'type': 'string', 'title': 'Filename Pattern'}}}}, {'name': 'get_code_examples', 'description': 'Get code examples related to a specific OpenAI Agents SDK topic.', 'inputSchema': {'type': 'object', 'title': 'get_code_examplesArguments', 'required': ['topic'], 'properties': {'topic': {'type': 'string', 'title': 'Topic'}}}}, {'name': 'get_api_docs', 'description': 'Get API documentation for a specific class or function in the OpenAI Agents SDK.', 'inputSchema': {'type': 'object', 'title': 'get_api_docsArguments', 'required': ['class_or_function'], 'properties': {'class_or_function': {'type': 'string', 'title': 'Class Or Function'}}}}, {'name': 'get_github_file', 'description': 'Get content of a specific file from the GitHub repository.', 'inputSchema': {'type': 'object', 'title': 'get_github_fileArguments', 'required': ['path'], 'properties': {'path': {'type': 'string', 'title': 'Path'}}}}, {'name': 'get_doc_index', 'description': 'Get the index of all OpenAI Agents SDK documentation pages.', 'inputSchema': {'type': 'object', 'title': 'get_doc_indexArguments', 'properties': {}}}, {'name': 'get_doc', 'description': 'Get content of a specific documentation page.', 'inputSchema': {'type': 'object', 'title': 'get_docArguments', 'required': ['path'], 'properties': {'path': {'type': 'string', 'title': 'Path'}}}}, {'name': 'list_github_structure', 'description': 'List the structure of the GitHub repository.', 'inputSchema': {'type': 'object', 'title': 'list_github_structureArguments', 'properties': {}}}, {'name': 'run_diagnostics', 'description': 'Run diagnostics to check the health of the OpenAI Agents SDK documentation and GitHub repository.', 'inputSchema': {'type': 'object', 'title': 'run_diagnosticsArguments', 'properties': {}}}] |
@Yaxin9Luo/openai_agent_library_mcp | OpenAI Agent Library | Enhance your applications with powerful language model capabilities. Integrate seamlessly with external data and tools to create intelligent agents that can perform complex tasks. Empower your projects with dynamic interactions and real-world data manipulation. | 2025-03-23T18:10:48.364Z | 0 | https://smithery.ai/server/@Yaxin9Luo/openai_agent_library_mcp | true | null | {
"scanPassed": true
} | [{'name': 'search_docs', 'description': 'Search for a specific term across OpenAI Agents SDK documentation.', 'inputSchema': {'type': 'object', 'title': 'search_docsArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}}}}, {'name': 'search_github', 'description': 'Search for a specific term across the GitHub repository.', 'inputSchema': {'type': 'object', 'title': 'search_githubArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}}}}, {'name': 'get_section', 'description': 'Get a specific section from a documentation page.', 'inputSchema': {'type': 'object', 'title': 'get_sectionArguments', 'required': ['page', 'section'], 'properties': {'page': {'type': 'string', 'title': 'Page'}, 'section': {'type': 'string', 'title': 'Section'}}}}, {'name': 'search_files', 'description': 'Search for files by name across the GitHub repository.\n \n Args:\n filename_pattern: Part of the filename to search for. Can be a full filename or a partial name.\n \n Returns:\n JSON array of matching files with their paths and URLs.\n ', 'inputSchema': {'type': 'object', 'title': 'search_filesArguments', 'required': ['filename_pattern'], 'properties': {'filename_pattern': {'type': 'string', 'title': 'Filename Pattern'}}}}, {'name': 'get_code_examples', 'description': 'Get code examples related to a specific OpenAI Agents SDK topic.', 'inputSchema': {'type': 'object', 'title': 'get_code_examplesArguments', 'required': ['topic'], 'properties': {'topic': {'type': 'string', 'title': 'Topic'}}}}, {'name': 'get_api_docs', 'description': 'Get API documentation for a specific class or function in the OpenAI Agents SDK.', 'inputSchema': {'type': 'object', 'title': 'get_api_docsArguments', 'required': ['class_or_function'], 'properties': {'class_or_function': {'type': 'string', 'title': 'Class Or Function'}}}}, {'name': 'get_github_file', 'description': 'Get content of a specific file from the GitHub repository.', 'inputSchema': {'type': 'object', 'title': 'get_github_fileArguments', 'required': ['path'], 'properties': {'path': {'type': 'string', 'title': 'Path'}}}}, {'name': 'get_doc_index', 'description': 'Get the index of all OpenAI Agents SDK documentation pages.', 'inputSchema': {'type': 'object', 'title': 'get_doc_indexArguments', 'properties': {}}}, {'name': 'get_doc', 'description': 'Get content of a specific documentation page.', 'inputSchema': {'type': 'object', 'title': 'get_docArguments', 'required': ['path'], 'properties': {'path': {'type': 'string', 'title': 'Path'}}}}, {'name': 'list_github_structure', 'description': 'List the structure of the GitHub repository.', 'inputSchema': {'type': 'object', 'title': 'list_github_structureArguments', 'properties': {}}}, {'name': 'run_diagnostics', 'description': 'Run diagnostics to check the health of the OpenAI Agents SDK documentation and GitHub repository.', 'inputSchema': {'type': 'object', 'title': 'run_diagnosticsArguments', 'properties': {}}}] |
@jdbcx/pydbcx-mcp | JDBCX MCP Server | Python implementation of MCP server for enabling data communication (databases, web services, scripts) via JDBCX server. | 2025-04-15T08:27:48.965Z | 0 | https://smithery.ai/server/@jdbcx/pydbcx-mcp | true | {
"scanPassed": true
} | [{'name': 'list_database_servers', 'description': 'List all available database servers configured in the JDBCX server.\n\nArgs:\n query_timeout_seconds (int, optional): Maximum time to wait for the request in seconds.\n Defaults to DEFAULT_QUERY_TIMEOUT_SECONDS.\n\nReturns:\n str: JSON string containing the list of database servers along with their corresponding descriptions\n', 'inputSchema': {'type': 'object', 'title': 'list_database_serversArguments', 'properties': {'query_timeout_seconds': {'type': 'integer', 'title': 'Query Timeout Seconds', 'default': 10}}}}, {'name': 'inspect_database_server', 'description': 'Get detailed configuration information for a specific database server.\n\nArgs:\n database_server (str): The name of the database server to inspect\n query_timeout_seconds (int, optional): Maximum time to wait for the request in seconds.\n Defaults to DEFAULT_QUERY_TIMEOUT_SECONDS.\n\nReturns:\n str: JSON string containing the detailed configuration of the specified database server\n', 'inputSchema': {'type': 'object', 'title': 'inspect_database_serverArguments', 'required': ['database_server'], 'properties': {'database_server': {'type': 'string', 'title': 'Database Server'}, 'query_timeout_seconds': {'type': 'integer', 'title': 'Query Timeout Seconds', 'default': 10}}}}, {'name': 'query_database', 'description': 'Execute a SQL query against a specified database server and return formatted results.\n\nArgs:\n database_server (str): The name of the database server to query (must be registered)\n sql_query (str): The SQL query to execute (will be wrapped in a SELECT statement)\n query_timeout_seconds (int, optional): Maximum time in seconds to wait for query execution.\n Defaults to DEFAULT_QUERY_TIMEOUT_SECONDS.\n data_format (str, optional): Output format for results. Options:\n "md" - Markdown table format\n "jsonl" - JSON Lines format (one JSON object per row)\n "csv" - Comma-separated values with header row\n Defaults to DEFAULT_DATA_FORMAT.\n rows_limit (int, optional): Maximum number of rows to return. Defaults to DEFAULT_ROWS_LIMIT.\n\nReturns:\n str: Query results as a string in the specified format\n', 'inputSchema': {'type': 'object', 'title': 'query_databaseArguments', 'required': ['database_server', 'sql_query'], 'properties': {'sql_query': {'type': 'string', 'title': 'Sql Query'}, 'rows_limit': {'type': 'integer', 'title': 'Rows Limit', 'default': 100}, 'data_format': {'enum': ['md', 'jsonl', 'csv'], 'type': 'string', 'title': 'Data Format', 'default': 'csv'}, 'database_server': {'type': 'string', 'title': 'Database Server'}, 'query_timeout_seconds': {'type': 'integer', 'title': 'Query Timeout Seconds', 'default': 10}}}}] |
|
@jdbcx/pydbcx-mcp | JDBCX MCP Server | Python implementation of MCP server for enabling data communication (databases, web services, scripts) via JDBCX server. | 2025-04-15T08:27:48.965Z | 0 | https://smithery.ai/server/@jdbcx/pydbcx-mcp | true | {
"scanPassed": true
} | [{'name': 'list_database_servers', 'description': 'List all available database servers configured in the JDBCX server.\n\nArgs:\n query_timeout_seconds (int, optional): Maximum time to wait for the request in seconds.\n Defaults to DEFAULT_QUERY_TIMEOUT_SECONDS.\n\nReturns:\n str: JSON string containing the list of database servers along with their corresponding descriptions\n', 'inputSchema': {'type': 'object', 'title': 'list_database_serversArguments', 'properties': {'query_timeout_seconds': {'type': 'integer', 'title': 'Query Timeout Seconds', 'default': 10}}}}, {'name': 'inspect_database_server', 'description': 'Get detailed configuration information for a specific database server.\n\nArgs:\n database_server (str): The name of the database server to inspect\n query_timeout_seconds (int, optional): Maximum time to wait for the request in seconds.\n Defaults to DEFAULT_QUERY_TIMEOUT_SECONDS.\n\nReturns:\n str: JSON string containing the detailed configuration of the specified database server\n', 'inputSchema': {'type': 'object', 'title': 'inspect_database_serverArguments', 'required': ['database_server'], 'properties': {'database_server': {'type': 'string', 'title': 'Database Server'}, 'query_timeout_seconds': {'type': 'integer', 'title': 'Query Timeout Seconds', 'default': 10}}}}, {'name': 'query_database', 'description': 'Execute a SQL query against a specified database server and return formatted results.\n\nArgs:\n database_server (str): The name of the database server to query (must be registered)\n sql_query (str): The SQL query to execute (will be wrapped in a SELECT statement)\n query_timeout_seconds (int, optional): Maximum time in seconds to wait for query execution.\n Defaults to DEFAULT_QUERY_TIMEOUT_SECONDS.\n data_format (str, optional): Output format for results. Options:\n "md" - Markdown table format\n "jsonl" - JSON Lines format (one JSON object per row)\n "csv" - Comma-separated values with header row\n Defaults to DEFAULT_DATA_FORMAT.\n rows_limit (int, optional): Maximum number of rows to return. Defaults to DEFAULT_ROWS_LIMIT.\n\nReturns:\n str: Query results as a string in the specified format\n', 'inputSchema': {'type': 'object', 'title': 'query_databaseArguments', 'required': ['database_server', 'sql_query'], 'properties': {'sql_query': {'type': 'string', 'title': 'Sql Query'}, 'rows_limit': {'type': 'integer', 'title': 'Rows Limit', 'default': 100}, 'data_format': {'enum': ['md', 'jsonl', 'csv'], 'type': 'string', 'title': 'Data Format', 'default': 'csv'}, 'database_server': {'type': 'string', 'title': 'Database Server'}, 'query_timeout_seconds': {'type': 'integer', 'title': 'Query Timeout Seconds', 'default': 10}}}}] |
|
@wirdes/db-mcp-tool | Database Explorer | Connect to and manage various databases effortlessly. Execute queries, list tables, and export data with ease, enhancing your database management experience. | 2025-03-07T20:00:55.371Z | 8 | https://smithery.ai/server/@wirdes/db-mcp-tool | true | null | {
"scanPassed": true
} | [{'name': '!pg', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['connection'], 'properties': {'connection': {'type': 'object', 'required': ['host', 'database', 'user', 'password'], 'properties': {'host': {'type': 'string'}, 'port': {'type': 'number'}, 'user': {'type': 'string'}, 'database': {'type': 'string'}, 'password': {'type': 'string'}}, 'additionalProperties': False}}, 'additionalProperties': False}}, {'name': '!mysql', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['connection'], 'properties': {'connection': {'type': 'object', 'required': ['host', 'database', 'user', 'password'], 'properties': {'host': {'type': 'string'}, 'port': {'type': 'number'}, 'user': {'type': 'string'}, 'database': {'type': 'string'}, 'password': {'type': 'string'}}, 'additionalProperties': False}}, 'additionalProperties': False}}, {'name': '!firestore', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['connection'], 'properties': {'connection': {'type': 'object', 'required': ['projectId', 'keyFilename'], 'properties': {'projectId': {'type': 'string'}, 'keyFilename': {'type': 'string'}}, 'additionalProperties': False}}, 'additionalProperties': False}}, {'name': '!tables', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': '!triggers', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': '!functions', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': '!query', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['query'], 'properties': {'query': {'type': 'string'}}, 'additionalProperties': False}}, {'name': '!export-db', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['table'], 'properties': {'table': {'type': 'string'}}, 'additionalProperties': False}}, {'name': '!export-data', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['table'], 'properties': {'table': {'type': 'string'}}, 'additionalProperties': False}}] |
@wirdes/db-mcp-tool | Database Explorer | Connect to and manage various databases effortlessly. Execute queries, list tables, and export data with ease, enhancing your database management experience. | 2025-03-07T20:00:55.371Z | 8 | https://smithery.ai/server/@wirdes/db-mcp-tool | true | null | {
"scanPassed": true
} | [{'name': '!pg', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['connection'], 'properties': {'connection': {'type': 'object', 'required': ['host', 'database', 'user', 'password'], 'properties': {'host': {'type': 'string'}, 'port': {'type': 'number'}, 'user': {'type': 'string'}, 'database': {'type': 'string'}, 'password': {'type': 'string'}}, 'additionalProperties': False}}, 'additionalProperties': False}}, {'name': '!mysql', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['connection'], 'properties': {'connection': {'type': 'object', 'required': ['host', 'database', 'user', 'password'], 'properties': {'host': {'type': 'string'}, 'port': {'type': 'number'}, 'user': {'type': 'string'}, 'database': {'type': 'string'}, 'password': {'type': 'string'}}, 'additionalProperties': False}}, 'additionalProperties': False}}, {'name': '!firestore', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['connection'], 'properties': {'connection': {'type': 'object', 'required': ['projectId', 'keyFilename'], 'properties': {'projectId': {'type': 'string'}, 'keyFilename': {'type': 'string'}}, 'additionalProperties': False}}, 'additionalProperties': False}}, {'name': '!tables', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': '!triggers', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': '!functions', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': '!query', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['query'], 'properties': {'query': {'type': 'string'}}, 'additionalProperties': False}}, {'name': '!export-db', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['table'], 'properties': {'table': {'type': 'string'}}, 'additionalProperties': False}}, {'name': '!export-data', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['table'], 'properties': {'table': {'type': 'string'}}, 'additionalProperties': False}}] |
@lumix-labs/swift | Swift | Transform legacy systems into competitive advantages by deploying faster and reducing incidents. Modernize incrementally without risky rewrites or expensive consultants, cutting legacy system incidents by 60%. Experience zero-disruption implementation and accelerate deployment cycles from weeks to days. | 2025-03-27T12:04:47.774Z | 0 | https://smithery.ai/server/@lumix-labs/swift | true | null | {
"scanPassed": true
} | [{'name': 'uuid-generator', 'description': 'Generates one or more UUIDs with various format options', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'count': {'type': 'integer', 'default': 1, 'maximum': 100, 'minimum': 1}, 'format': {'enum': ['standard', 'no-hyphens', 'braces', 'uppercase'], 'type': 'string', 'default': 'standard'}, 'version': {'enum': ['v1', 'v4', 'v5'], 'type': 'string', 'default': 'v4'}, 'namespace': {'type': 'string'}}, 'additionalProperties': False}}] |
@lumix-labs/swift | Swift | Transform legacy systems into competitive advantages by deploying faster and reducing incidents. Modernize incrementally without risky rewrites or expensive consultants, cutting legacy system incidents by 60%. Experience zero-disruption implementation and accelerate deployment cycles from weeks to days. | 2025-03-27T12:04:47.774Z | 0 | https://smithery.ai/server/@lumix-labs/swift | true | null | {
"scanPassed": true
} | [{'name': 'uuid-generator', 'description': 'Generates one or more UUIDs with various format options', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'count': {'type': 'integer', 'default': 1, 'maximum': 100, 'minimum': 1}, 'format': {'enum': ['standard', 'no-hyphens', 'braces', 'uppercase'], 'type': 'string', 'default': 'standard'}, 'version': {'enum': ['v1', 'v4', 'v5'], 'type': 'string', 'default': 'v4'}, 'namespace': {'type': 'string'}}, 'additionalProperties': False}}] |
@chroma-core/chroma-mcp | Chroma MCP Server | Integrate vector database capabilities into your LLM applications. Effortlessly manage collections, perform semantic searches, and retrieve data with advanced filtering. Enhance your AI models with powerful data retrieval features for improved context and performance. | 2025-03-14T16:01:14.283Z | 0 | https://smithery.ai/server/@chroma-core/chroma-mcp | true | null | {
"scanPassed": true
} | [{'name': 'chroma_list_collections', 'description': 'List all collection names in the Chroma database with pagination support.\n \n Args:\n limit: Optional maximum number of collections to return\n offset: Optional number of collections to skip before returning results\n \n Returns:\n List of collection names\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_list_collectionsArguments', 'properties': {'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}}}}, {'name': 'chroma_create_collection', 'description': "Create a new Chroma collection with configurable HNSW parameters.\n \n Args:\n collection_name: Name of the collection to create\n hnsw_space: Distance function used in HNSW index. Options: 'l2', 'ip', 'cosine'\n hnsw_construction_ef: Size of the dynamic candidate list for constructing the HNSW graph\n hnsw_search_ef: Size of the dynamic candidate list for searching the HNSW graph\n hnsw_M: Number of bi-directional links created for every new element\n hnsw_num_threads: Number of threads to use during HNSW construction\n hnsw_resize_factor: Factor to resize the index by when it's full\n hnsw_batch_size: Number of elements to batch together during index construction\n hnsw_sync_threshold: Number of elements to process before syncing index to disk\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_create_collectionArguments', 'required': ['collection_name'], 'properties': {'hnsw_M': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw M', 'default': None}, 'hnsw_space': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Hnsw Space', 'default': None}, 'hnsw_search_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Search Ef', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}, 'hnsw_batch_size': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Batch Size', 'default': None}, 'hnsw_num_threads': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Num Threads', 'default': None}, 'hnsw_resize_factor': {'anyOf': [{'type': 'number'}, {'type': 'null'}], 'title': 'Hnsw Resize Factor', 'default': None}, 'hnsw_sync_threshold': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Sync Threshold', 'default': None}, 'hnsw_construction_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Construction Ef', 'default': None}}}}, {'name': 'chroma_peek_collection', 'description': 'Peek at documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to peek into\n limit: Number of documents to peek at\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_peek_collectionArguments', 'required': ['collection_name'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 5}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_info', 'description': 'Get information about a Chroma collection.\n \n Args:\n collection_name: Name of the collection to get info about\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_infoArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_count', 'description': 'Get the number of documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to count\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_countArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_modify_collection', 'description': "Modify a Chroma collection's name or metadata.\n \n Args:\n collection_name: Name of the collection to modify\n new_name: Optional new name for the collection\n new_metadata: Optional new metadata for the collection\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_modify_collectionArguments', 'required': ['collection_name'], 'properties': {'new_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'New Name', 'default': None}, 'new_metadata': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'New Metadata', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_delete_collection', 'description': 'Delete a Chroma collection.\n \n Args:\n collection_name: Name of the collection to delete\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_delete_collectionArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_add_documents', 'description': 'Add documents to a Chroma collection.\n \n Args:\n collection_name: Name of the collection to add documents to\n documents: List of text documents to add\n metadatas: Optional list of metadata dictionaries for each document\n ids: Optional list of IDs for the documents\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_add_documentsArguments', 'required': ['collection_name', 'documents'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'documents': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Documents'}, 'metadatas': {'anyOf': [{'type': 'array', 'items': {'type': 'object'}}, {'type': 'null'}], 'title': 'Metadatas', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_query_documents', 'description': 'Query documents from a Chroma collection with advanced filtering.\n \n Args:\n collection_name: Name of the collection to query\n query_texts: List of query texts to search for\n n_results: Number of results to return per query\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas", "distances"]\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_query_documentsArguments', 'required': ['collection_name', 'query_texts'], 'properties': {'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'n_results': {'type': 'integer', 'title': 'N Results', 'default': 5}, 'query_texts': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Query Texts'}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_documents', 'description': 'Get documents from a Chroma collection with optional filtering.\n \n Args:\n collection_name: Name of the collection to get documents from\n ids: Optional list of document IDs to retrieve\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas"]\n limit: Optional maximum number of documents to return\n offset: Optional number of documents to skip before returning results\n \n Returns:\n Dictionary containing the matching documents, their IDs, and requested includes\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_documentsArguments', 'required': ['collection_name'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_sequential_thinking', 'description': 'A detailed tool for dynamic and reflective problem-solving through thoughts.\n \n This tool helps analyze problems through a flexible thinking process that can adapt and evolve.\n Each thought can build on, question, or revise previous insights as understanding deepens.\n \n Args:\n thought: Do not store code in the thought. It is your current thinking step, which can include:\n * Regular analytical steps\n * Revisions of previous thoughts\n * Questions about previous decisions\n * Realizations about needing more analysis\n * Changes in approach\n * Hypothesis generation\n * Hypothesis verification\n Do not make thoughts superfluous. Do not store code in the thought. \n thoughtNumber: Current thought number\n * The current number in sequence (can go beyond initial total if needed)\n totalThoughts: Estimated total thoughts needed\n * Current estimate of thoughts needed (can be adjusted up/down)\n sessionId: Identifier for the thinking session. Provide if this is not the first thought in the session.\n * A unique identifier for the current thinking session\n nextThoughtNeeded: Whether another thought step is needed\n * True if you need more thinking, even if at what seemed like the end\n isRevision: Whether this revises previous thinking\n * A boolean indicating if this thought revises previous thinking\n revisesThought: Which thought is being reconsidered\n * If isRevision is true, which thought number is being reconsidered\n branchFromThought: Branching point thought number\n * If branching, which thought number is the branching point\n branchId: Branch identifier\n * Identifier for the current branch (if any)\n needsMoreThoughts: If more thoughts are needed\n * If reaching end but realizing more thoughts needed\n sessionSummary: A summary of the current session. Provide when nextThoughtNeeded is false.\n keyThoughts: A list of key thought numbers from the current session. Provide when nextThoughtNeeded is false.\n persist: Whether to persist thoughts in the Chroma database\n \n You should:\n 1. Start with an initial estimate of needed thoughts, but be ready to adjust\n 2. Feel free to question or revise previous thoughts\n 3. Don\'t hesitate to add more thoughts if needed, even at the "end"\n 4. Express uncertainty when present\n 5. Mark thoughts that revise previous thinking or branch into new paths\n 6. Ignore information that is irrelevant to the current step\n 7. Generate a solution hypothesis when appropriate\n 8. Verify the hypothesis based on the Chain of Thought steps\n 9. Repeat the process until satisfied with the solution\n 10. Provide a single, ideally correct answer as the final output\n 11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached`,\n \n Returns:\n Dictionary with thought metadata\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_sequential_thinkingArguments', 'required': ['thought', 'thoughtNumber', 'totalThoughts', 'nextThoughtNeeded'], 'properties': {'persist': {'type': 'boolean', 'title': 'Persist', 'default': True}, 'thought': {'type': 'string', 'title': 'Thought'}, 'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionid', 'default': None}, 'isRevision': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Isrevision', 'default': None}, 'keyThoughts': {'anyOf': [{'type': 'array', 'items': {'type': 'integer'}}, {'type': 'null'}], 'title': 'Keythoughts', 'default': None}, 'thoughtNumber': {'type': 'integer', 'title': 'Thoughtnumber'}, 'totalThoughts': {'type': 'integer', 'title': 'Totalthoughts'}, 'revisesThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Revisesthought', 'default': None}, 'sessionSummary': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionsummary', 'default': None}, 'branchFromThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Branchfromthought', 'default': None}, 'needsMoreThoughts': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Needsmorethoughts', 'default': None}, 'nextThoughtNeeded': {'type': 'boolean', 'title': 'Nextthoughtneeded'}}}}, {'name': 'chroma_get_similar_sessions', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n text: The text to search for\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_similar_sessionsArguments', 'required': ['text'], 'properties': {'text': {'type': 'string', 'title': 'Text'}}}}, {'name': 'chroma_get_thought_history', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_historyArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_get_thought_branches', 'description': 'Get all branches for a specific thinking session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with branch information\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_branchesArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_continue_thought_chain', 'description': 'Get the latest state of a thought chain to continue it.\n \n Args:\n sessionId: The session identifier\n branchId: Optional branch identifier to continue a specific branch\n \n Returns:\n Dictionary with the latest state of the thought chain\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_continue_thought_chainArguments', 'required': ['sessionId'], 'properties': {'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}] |
@chroma-core/chroma-mcp | Chroma MCP Server | Integrate vector database capabilities into your LLM applications. Effortlessly manage collections, perform semantic searches, and retrieve data with advanced filtering. Enhance your AI models with powerful data retrieval features for improved context and performance. | 2025-03-14T16:01:14.283Z | 0 | https://smithery.ai/server/@chroma-core/chroma-mcp | true | null | {
"scanPassed": true
} | [{'name': 'chroma_list_collections', 'description': 'List all collection names in the Chroma database with pagination support.\n \n Args:\n limit: Optional maximum number of collections to return\n offset: Optional number of collections to skip before returning results\n \n Returns:\n List of collection names\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_list_collectionsArguments', 'properties': {'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}}}}, {'name': 'chroma_create_collection', 'description': "Create a new Chroma collection with configurable HNSW parameters.\n \n Args:\n collection_name: Name of the collection to create\n hnsw_space: Distance function used in HNSW index. Options: 'l2', 'ip', 'cosine'\n hnsw_construction_ef: Size of the dynamic candidate list for constructing the HNSW graph\n hnsw_search_ef: Size of the dynamic candidate list for searching the HNSW graph\n hnsw_M: Number of bi-directional links created for every new element\n hnsw_num_threads: Number of threads to use during HNSW construction\n hnsw_resize_factor: Factor to resize the index by when it's full\n hnsw_batch_size: Number of elements to batch together during index construction\n hnsw_sync_threshold: Number of elements to process before syncing index to disk\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_create_collectionArguments', 'required': ['collection_name'], 'properties': {'hnsw_M': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw M', 'default': None}, 'hnsw_space': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Hnsw Space', 'default': None}, 'hnsw_search_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Search Ef', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}, 'hnsw_batch_size': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Batch Size', 'default': None}, 'hnsw_num_threads': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Num Threads', 'default': None}, 'hnsw_resize_factor': {'anyOf': [{'type': 'number'}, {'type': 'null'}], 'title': 'Hnsw Resize Factor', 'default': None}, 'hnsw_sync_threshold': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Sync Threshold', 'default': None}, 'hnsw_construction_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Construction Ef', 'default': None}}}}, {'name': 'chroma_peek_collection', 'description': 'Peek at documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to peek into\n limit: Number of documents to peek at\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_peek_collectionArguments', 'required': ['collection_name'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 5}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_info', 'description': 'Get information about a Chroma collection.\n \n Args:\n collection_name: Name of the collection to get info about\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_infoArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_count', 'description': 'Get the number of documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to count\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_countArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_modify_collection', 'description': "Modify a Chroma collection's name or metadata.\n \n Args:\n collection_name: Name of the collection to modify\n new_name: Optional new name for the collection\n new_metadata: Optional new metadata for the collection\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_modify_collectionArguments', 'required': ['collection_name'], 'properties': {'new_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'New Name', 'default': None}, 'new_metadata': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'New Metadata', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_delete_collection', 'description': 'Delete a Chroma collection.\n \n Args:\n collection_name: Name of the collection to delete\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_delete_collectionArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_add_documents', 'description': 'Add documents to a Chroma collection.\n \n Args:\n collection_name: Name of the collection to add documents to\n documents: List of text documents to add\n metadatas: Optional list of metadata dictionaries for each document\n ids: Optional list of IDs for the documents\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_add_documentsArguments', 'required': ['collection_name', 'documents'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'documents': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Documents'}, 'metadatas': {'anyOf': [{'type': 'array', 'items': {'type': 'object'}}, {'type': 'null'}], 'title': 'Metadatas', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_query_documents', 'description': 'Query documents from a Chroma collection with advanced filtering.\n \n Args:\n collection_name: Name of the collection to query\n query_texts: List of query texts to search for\n n_results: Number of results to return per query\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas", "distances"]\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_query_documentsArguments', 'required': ['collection_name', 'query_texts'], 'properties': {'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'n_results': {'type': 'integer', 'title': 'N Results', 'default': 5}, 'query_texts': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Query Texts'}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_documents', 'description': 'Get documents from a Chroma collection with optional filtering.\n \n Args:\n collection_name: Name of the collection to get documents from\n ids: Optional list of document IDs to retrieve\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas"]\n limit: Optional maximum number of documents to return\n offset: Optional number of documents to skip before returning results\n \n Returns:\n Dictionary containing the matching documents, their IDs, and requested includes\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_documentsArguments', 'required': ['collection_name'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_sequential_thinking', 'description': 'A detailed tool for dynamic and reflective problem-solving through thoughts.\n \n This tool helps analyze problems through a flexible thinking process that can adapt and evolve.\n Each thought can build on, question, or revise previous insights as understanding deepens.\n \n Args:\n thought: Do not store code in the thought. It is your current thinking step, which can include:\n * Regular analytical steps\n * Revisions of previous thoughts\n * Questions about previous decisions\n * Realizations about needing more analysis\n * Changes in approach\n * Hypothesis generation\n * Hypothesis verification\n Do not make thoughts superfluous. Do not store code in the thought. \n thoughtNumber: Current thought number\n * The current number in sequence (can go beyond initial total if needed)\n totalThoughts: Estimated total thoughts needed\n * Current estimate of thoughts needed (can be adjusted up/down)\n sessionId: Identifier for the thinking session. Provide if this is not the first thought in the session.\n * A unique identifier for the current thinking session\n nextThoughtNeeded: Whether another thought step is needed\n * True if you need more thinking, even if at what seemed like the end\n isRevision: Whether this revises previous thinking\n * A boolean indicating if this thought revises previous thinking\n revisesThought: Which thought is being reconsidered\n * If isRevision is true, which thought number is being reconsidered\n branchFromThought: Branching point thought number\n * If branching, which thought number is the branching point\n branchId: Branch identifier\n * Identifier for the current branch (if any)\n needsMoreThoughts: If more thoughts are needed\n * If reaching end but realizing more thoughts needed\n sessionSummary: A summary of the current session. Provide when nextThoughtNeeded is false.\n keyThoughts: A list of key thought numbers from the current session. Provide when nextThoughtNeeded is false.\n persist: Whether to persist thoughts in the Chroma database\n \n You should:\n 1. Start with an initial estimate of needed thoughts, but be ready to adjust\n 2. Feel free to question or revise previous thoughts\n 3. Don\'t hesitate to add more thoughts if needed, even at the "end"\n 4. Express uncertainty when present\n 5. Mark thoughts that revise previous thinking or branch into new paths\n 6. Ignore information that is irrelevant to the current step\n 7. Generate a solution hypothesis when appropriate\n 8. Verify the hypothesis based on the Chain of Thought steps\n 9. Repeat the process until satisfied with the solution\n 10. Provide a single, ideally correct answer as the final output\n 11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached`,\n \n Returns:\n Dictionary with thought metadata\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_sequential_thinkingArguments', 'required': ['thought', 'thoughtNumber', 'totalThoughts', 'nextThoughtNeeded'], 'properties': {'persist': {'type': 'boolean', 'title': 'Persist', 'default': True}, 'thought': {'type': 'string', 'title': 'Thought'}, 'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionid', 'default': None}, 'isRevision': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Isrevision', 'default': None}, 'keyThoughts': {'anyOf': [{'type': 'array', 'items': {'type': 'integer'}}, {'type': 'null'}], 'title': 'Keythoughts', 'default': None}, 'thoughtNumber': {'type': 'integer', 'title': 'Thoughtnumber'}, 'totalThoughts': {'type': 'integer', 'title': 'Totalthoughts'}, 'revisesThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Revisesthought', 'default': None}, 'sessionSummary': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionsummary', 'default': None}, 'branchFromThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Branchfromthought', 'default': None}, 'needsMoreThoughts': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Needsmorethoughts', 'default': None}, 'nextThoughtNeeded': {'type': 'boolean', 'title': 'Nextthoughtneeded'}}}}, {'name': 'chroma_get_similar_sessions', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n text: The text to search for\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_similar_sessionsArguments', 'required': ['text'], 'properties': {'text': {'type': 'string', 'title': 'Text'}}}}, {'name': 'chroma_get_thought_history', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_historyArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_get_thought_branches', 'description': 'Get all branches for a specific thinking session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with branch information\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_branchesArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_continue_thought_chain', 'description': 'Get the latest state of a thought chain to continue it.\n \n Args:\n sessionId: The session identifier\n branchId: Optional branch identifier to continue a specific branch\n \n Returns:\n Dictionary with the latest state of the thought chain\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_continue_thought_chainArguments', 'required': ['sessionId'], 'properties': {'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}] |
@chroma-core/chroma-mcp | Chroma MCP Server | Integrate vector database capabilities into your LLM applications. Effortlessly manage collections, perform semantic searches, and retrieve data with advanced filtering. Enhance your AI models with powerful data retrieval features for improved context and performance. | 2025-03-14T16:01:14.283Z | 0 | https://smithery.ai/server/@chroma-core/chroma-mcp | true | null | {
"scanPassed": true
} | [{'name': 'chroma_list_collections', 'description': 'List all collection names in the Chroma database with pagination support.\n \n Args:\n limit: Optional maximum number of collections to return\n offset: Optional number of collections to skip before returning results\n \n Returns:\n List of collection names\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_list_collectionsArguments', 'properties': {'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}}}}, {'name': 'chroma_create_collection', 'description': "Create a new Chroma collection with configurable HNSW parameters.\n \n Args:\n collection_name: Name of the collection to create\n hnsw_space: Distance function used in HNSW index. Options: 'l2', 'ip', 'cosine'\n hnsw_construction_ef: Size of the dynamic candidate list for constructing the HNSW graph\n hnsw_search_ef: Size of the dynamic candidate list for searching the HNSW graph\n hnsw_M: Number of bi-directional links created for every new element\n hnsw_num_threads: Number of threads to use during HNSW construction\n hnsw_resize_factor: Factor to resize the index by when it's full\n hnsw_batch_size: Number of elements to batch together during index construction\n hnsw_sync_threshold: Number of elements to process before syncing index to disk\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_create_collectionArguments', 'required': ['collection_name'], 'properties': {'hnsw_M': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw M', 'default': None}, 'hnsw_space': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Hnsw Space', 'default': None}, 'hnsw_search_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Search Ef', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}, 'hnsw_batch_size': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Batch Size', 'default': None}, 'hnsw_num_threads': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Num Threads', 'default': None}, 'hnsw_resize_factor': {'anyOf': [{'type': 'number'}, {'type': 'null'}], 'title': 'Hnsw Resize Factor', 'default': None}, 'hnsw_sync_threshold': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Sync Threshold', 'default': None}, 'hnsw_construction_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Construction Ef', 'default': None}}}}, {'name': 'chroma_peek_collection', 'description': 'Peek at documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to peek into\n limit: Number of documents to peek at\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_peek_collectionArguments', 'required': ['collection_name'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 5}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_info', 'description': 'Get information about a Chroma collection.\n \n Args:\n collection_name: Name of the collection to get info about\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_infoArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_count', 'description': 'Get the number of documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to count\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_countArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_modify_collection', 'description': "Modify a Chroma collection's name or metadata.\n \n Args:\n collection_name: Name of the collection to modify\n new_name: Optional new name for the collection\n new_metadata: Optional new metadata for the collection\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_modify_collectionArguments', 'required': ['collection_name'], 'properties': {'new_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'New Name', 'default': None}, 'new_metadata': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'New Metadata', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_delete_collection', 'description': 'Delete a Chroma collection.\n \n Args:\n collection_name: Name of the collection to delete\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_delete_collectionArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_add_documents', 'description': 'Add documents to a Chroma collection.\n \n Args:\n collection_name: Name of the collection to add documents to\n documents: List of text documents to add\n metadatas: Optional list of metadata dictionaries for each document\n ids: Optional list of IDs for the documents\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_add_documentsArguments', 'required': ['collection_name', 'documents'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'documents': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Documents'}, 'metadatas': {'anyOf': [{'type': 'array', 'items': {'type': 'object'}}, {'type': 'null'}], 'title': 'Metadatas', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_query_documents', 'description': 'Query documents from a Chroma collection with advanced filtering.\n \n Args:\n collection_name: Name of the collection to query\n query_texts: List of query texts to search for\n n_results: Number of results to return per query\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas", "distances"]\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_query_documentsArguments', 'required': ['collection_name', 'query_texts'], 'properties': {'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'n_results': {'type': 'integer', 'title': 'N Results', 'default': 5}, 'query_texts': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Query Texts'}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_documents', 'description': 'Get documents from a Chroma collection with optional filtering.\n \n Args:\n collection_name: Name of the collection to get documents from\n ids: Optional list of document IDs to retrieve\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas"]\n limit: Optional maximum number of documents to return\n offset: Optional number of documents to skip before returning results\n \n Returns:\n Dictionary containing the matching documents, their IDs, and requested includes\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_documentsArguments', 'required': ['collection_name'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_sequential_thinking', 'description': 'A detailed tool for dynamic and reflective problem-solving through thoughts.\n \n This tool helps analyze problems through a flexible thinking process that can adapt and evolve.\n Each thought can build on, question, or revise previous insights as understanding deepens.\n \n Args:\n thought: Do not store code in the thought. It is your current thinking step, which can include:\n * Regular analytical steps\n * Revisions of previous thoughts\n * Questions about previous decisions\n * Realizations about needing more analysis\n * Changes in approach\n * Hypothesis generation\n * Hypothesis verification\n Do not make thoughts superfluous. Do not store code in the thought. \n thoughtNumber: Current thought number\n * The current number in sequence (can go beyond initial total if needed)\n totalThoughts: Estimated total thoughts needed\n * Current estimate of thoughts needed (can be adjusted up/down)\n sessionId: Identifier for the thinking session. Provide if this is not the first thought in the session.\n * A unique identifier for the current thinking session\n nextThoughtNeeded: Whether another thought step is needed\n * True if you need more thinking, even if at what seemed like the end\n isRevision: Whether this revises previous thinking\n * A boolean indicating if this thought revises previous thinking\n revisesThought: Which thought is being reconsidered\n * If isRevision is true, which thought number is being reconsidered\n branchFromThought: Branching point thought number\n * If branching, which thought number is the branching point\n branchId: Branch identifier\n * Identifier for the current branch (if any)\n needsMoreThoughts: If more thoughts are needed\n * If reaching end but realizing more thoughts needed\n sessionSummary: A summary of the current session. Provide when nextThoughtNeeded is false.\n keyThoughts: A list of key thought numbers from the current session. Provide when nextThoughtNeeded is false.\n persist: Whether to persist thoughts in the Chroma database\n \n You should:\n 1. Start with an initial estimate of needed thoughts, but be ready to adjust\n 2. Feel free to question or revise previous thoughts\n 3. Don\'t hesitate to add more thoughts if needed, even at the "end"\n 4. Express uncertainty when present\n 5. Mark thoughts that revise previous thinking or branch into new paths\n 6. Ignore information that is irrelevant to the current step\n 7. Generate a solution hypothesis when appropriate\n 8. Verify the hypothesis based on the Chain of Thought steps\n 9. Repeat the process until satisfied with the solution\n 10. Provide a single, ideally correct answer as the final output\n 11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached`,\n \n Returns:\n Dictionary with thought metadata\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_sequential_thinkingArguments', 'required': ['thought', 'thoughtNumber', 'totalThoughts', 'nextThoughtNeeded'], 'properties': {'persist': {'type': 'boolean', 'title': 'Persist', 'default': True}, 'thought': {'type': 'string', 'title': 'Thought'}, 'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionid', 'default': None}, 'isRevision': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Isrevision', 'default': None}, 'keyThoughts': {'anyOf': [{'type': 'array', 'items': {'type': 'integer'}}, {'type': 'null'}], 'title': 'Keythoughts', 'default': None}, 'thoughtNumber': {'type': 'integer', 'title': 'Thoughtnumber'}, 'totalThoughts': {'type': 'integer', 'title': 'Totalthoughts'}, 'revisesThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Revisesthought', 'default': None}, 'sessionSummary': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionsummary', 'default': None}, 'branchFromThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Branchfromthought', 'default': None}, 'needsMoreThoughts': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Needsmorethoughts', 'default': None}, 'nextThoughtNeeded': {'type': 'boolean', 'title': 'Nextthoughtneeded'}}}}, {'name': 'chroma_get_similar_sessions', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n text: The text to search for\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_similar_sessionsArguments', 'required': ['text'], 'properties': {'text': {'type': 'string', 'title': 'Text'}}}}, {'name': 'chroma_get_thought_history', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_historyArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_get_thought_branches', 'description': 'Get all branches for a specific thinking session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with branch information\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_branchesArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_continue_thought_chain', 'description': 'Get the latest state of a thought chain to continue it.\n \n Args:\n sessionId: The session identifier\n branchId: Optional branch identifier to continue a specific branch\n \n Returns:\n Dictionary with the latest state of the thought chain\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_continue_thought_chainArguments', 'required': ['sessionId'], 'properties': {'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}] |
@kazuph/mcp-docs-rag | RAG Server for Documents | Query and manage documents in your local directory using advanced retrieval-augmented generation techniques. Enhance your LLM's capabilities by integrating context from your documents seamlessly. Easily add Git repositories or text files and retrieve information efficiently. | 2025-03-22T16:00:43.345Z | 0 | https://smithery.ai/server/@kazuph/mcp-docs-rag | true | null | null | [{'name': 'list_documents', 'description': 'List all available documents in the DOCS_PATH directory. Always use this tool first to check if desired documents already exist before adding new ones.', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'rag_query', 'description': 'Query a document using RAG. Note: If the index does not exist, it will be created when you query, which may take some time.', 'inputSchema': {'type': 'object', 'required': ['document_id', 'query'], 'properties': {'query': {'type': 'string', 'description': 'Query to run against the document'}, 'document_id': {'type': 'string', 'description': 'ID of the document to query'}}}}, {'name': 'add_git_repository', 'description': "Add a git repository to the docs directory with optional sparse checkout. Please do not use 'docs' in the document name.", 'inputSchema': {'type': 'object', 'required': ['repository_url'], 'properties': {'subdirectory': {'type': 'string', 'description': "Optional: Specific subdirectory to sparse checkout (e.g. 'path/to/specific/dir'). This uses Git's sparse-checkout feature to only download the specified directory."}, 'document_name': {'type': 'string', 'description': "Optional: Custom name for the document (defaults to repository name). Use a simple, descriptive name without '-docs' suffix. For example, use 'react' instead of 'react-docs'."}, 'repository_url': {'type': 'string', 'description': 'URL of the git repository to clone'}}}}, {'name': 'add_text_file', 'description': "Add a text file to the docs directory with a specified name. Please do not use 'docs' in the document name.", 'inputSchema': {'type': 'object', 'required': ['file_url', 'document_name'], 'properties': {'file_url': {'type': 'string', 'description': 'URL of the text file to download'}, 'document_name': {'type': 'string', 'description': "Name of the document (will be used as directory name). Choose a descriptive name rather than using the URL filename (e.g. 'hono' instead of 'llms-full.txt')"}}}}] |
@kazuph/mcp-docs-rag | RAG Server for Documents | Query and manage documents in your local directory using advanced retrieval-augmented generation techniques. Enhance your LLM's capabilities by integrating context from your documents seamlessly. Easily add Git repositories or text files and retrieve information efficiently. | 2025-03-22T16:00:43.345Z | 0 | https://smithery.ai/server/@kazuph/mcp-docs-rag | true | null | null | [{'name': 'list_documents', 'description': 'List all available documents in the DOCS_PATH directory. Always use this tool first to check if desired documents already exist before adding new ones.', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'rag_query', 'description': 'Query a document using RAG. Note: If the index does not exist, it will be created when you query, which may take some time.', 'inputSchema': {'type': 'object', 'required': ['document_id', 'query'], 'properties': {'query': {'type': 'string', 'description': 'Query to run against the document'}, 'document_id': {'type': 'string', 'description': 'ID of the document to query'}}}}, {'name': 'add_git_repository', 'description': "Add a git repository to the docs directory with optional sparse checkout. Please do not use 'docs' in the document name.", 'inputSchema': {'type': 'object', 'required': ['repository_url'], 'properties': {'subdirectory': {'type': 'string', 'description': "Optional: Specific subdirectory to sparse checkout (e.g. 'path/to/specific/dir'). This uses Git's sparse-checkout feature to only download the specified directory."}, 'document_name': {'type': 'string', 'description': "Optional: Custom name for the document (defaults to repository name). Use a simple, descriptive name without '-docs' suffix. For example, use 'react' instead of 'react-docs'."}, 'repository_url': {'type': 'string', 'description': 'URL of the git repository to clone'}}}}, {'name': 'add_text_file', 'description': "Add a text file to the docs directory with a specified name. Please do not use 'docs' in the document name.", 'inputSchema': {'type': 'object', 'required': ['file_url', 'document_name'], 'properties': {'file_url': {'type': 'string', 'description': 'URL of the text file to download'}, 'document_name': {'type': 'string', 'description': "Name of the document (will be used as directory name). Choose a descriptive name rather than using the URL filename (e.g. 'hono' instead of 'llms-full.txt')"}}}}] |
@6/mcp-server-rubygems | RubyGems Metadata Server | Fetch RubyGems metadata effortlessly using our server. Access detailed information about gems, search for specific gems, and retrieve version histories with ease. Enhance your Ruby development experience by integrating RubyGems data directly into your applications. | 2025-04-05T16:00:44.885Z | 0 | https://smithery.ai/server/@6/mcp-server-rubygems | true | null | {
"scanPassed": true
} | [{'name': 'get_rubygem_info', 'description': 'Get information about a RubyGem from the RubyGems.org API', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['rubygem_name'], 'properties': {'rubygem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch information for'}}, 'additionalProperties': False}}}, {'name': 'search_rubygems', 'description': 'Search for RubyGems matching a query string. The search matches against gem names and descriptions. Returns up to 10 results by default (customizable with limit parameter), ordered by relevance. Example queries: "authentication", "rails middleware", "aws sdk"', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'maximum': 30, 'description': 'Maximum number of results to return (default: 10, max: 30)', 'exclusiveMinimum': 0}, 'query': {'type': 'string', 'minLength': 1, 'description': 'Search query for finding RubyGems'}}, 'additionalProperties': False}}}, {'name': 'get_gem_versions', 'description': 'Get all available versions of a specific RubyGem', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['gem_name'], 'properties': {'limit': {'type': 'integer', 'description': 'Maximum number of versions to return', 'exclusiveMinimum': 0}, 'gem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch versions for'}}, 'additionalProperties': False}}}, {'name': 'get_gem_reverse_dependencies', 'description': 'Get gems that depend on a specific RubyGem', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['gem_name'], 'properties': {'gem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch reverse dependencies for'}}, 'additionalProperties': False}}}, {'name': 'get_owner_gems', 'description': 'Get all RubyGems owned by a specific user or organization', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['owner_name'], 'properties': {'owner_name': {'type': 'string', 'minLength': 1, 'description': 'Username of the RubyGem owner to fetch gems for'}}, 'additionalProperties': False}}}, {'name': 'get_gem_owners', 'description': 'Get the owners of a specific RubyGem', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['gem_name'], 'properties': {'gem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch owners for'}}, 'additionalProperties': False}}}] |
@6/mcp-server-rubygems | RubyGems Metadata Server | Fetch RubyGems metadata effortlessly using our server. Access detailed information about gems, search for specific gems, and retrieve version histories with ease. Enhance your Ruby development experience by integrating RubyGems data directly into your applications. | 2025-04-05T16:00:44.885Z | 0 | https://smithery.ai/server/@6/mcp-server-rubygems | true | null | {
"scanPassed": true
} | [{'name': 'get_rubygem_info', 'description': 'Get information about a RubyGem from the RubyGems.org API', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['rubygem_name'], 'properties': {'rubygem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch information for'}}, 'additionalProperties': False}}}, {'name': 'search_rubygems', 'description': 'Search for RubyGems matching a query string. The search matches against gem names and descriptions. Returns up to 10 results by default (customizable with limit parameter), ordered by relevance. Example queries: "authentication", "rails middleware", "aws sdk"', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'maximum': 30, 'description': 'Maximum number of results to return (default: 10, max: 30)', 'exclusiveMinimum': 0}, 'query': {'type': 'string', 'minLength': 1, 'description': 'Search query for finding RubyGems'}}, 'additionalProperties': False}}}, {'name': 'get_gem_versions', 'description': 'Get all available versions of a specific RubyGem', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['gem_name'], 'properties': {'limit': {'type': 'integer', 'description': 'Maximum number of versions to return', 'exclusiveMinimum': 0}, 'gem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch versions for'}}, 'additionalProperties': False}}}, {'name': 'get_gem_reverse_dependencies', 'description': 'Get gems that depend on a specific RubyGem', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['gem_name'], 'properties': {'gem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch reverse dependencies for'}}, 'additionalProperties': False}}}, {'name': 'get_owner_gems', 'description': 'Get all RubyGems owned by a specific user or organization', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['owner_name'], 'properties': {'owner_name': {'type': 'string', 'minLength': 1, 'description': 'Username of the RubyGem owner to fetch gems for'}}, 'additionalProperties': False}}}, {'name': 'get_gem_owners', 'description': 'Get the owners of a specific RubyGem', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['gem_name'], 'properties': {'gem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch owners for'}}, 'additionalProperties': False}}}] |
@6/mcp-server-rubygems | RubyGems Metadata Server | Fetch RubyGems metadata effortlessly using our server. Access detailed information about gems, search for specific gems, and retrieve version histories with ease. Enhance your Ruby development experience by integrating RubyGems data directly into your applications. | 2025-04-05T16:00:44.885Z | 0 | https://smithery.ai/server/@6/mcp-server-rubygems | true | null | {
"scanPassed": true
} | [{'name': 'get_rubygem_info', 'description': 'Get information about a RubyGem from the RubyGems.org API', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['rubygem_name'], 'properties': {'rubygem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch information for'}}, 'additionalProperties': False}}}, {'name': 'search_rubygems', 'description': 'Search for RubyGems matching a query string. The search matches against gem names and descriptions. Returns up to 10 results by default (customizable with limit parameter), ordered by relevance. Example queries: "authentication", "rails middleware", "aws sdk"', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'maximum': 30, 'description': 'Maximum number of results to return (default: 10, max: 30)', 'exclusiveMinimum': 0}, 'query': {'type': 'string', 'minLength': 1, 'description': 'Search query for finding RubyGems'}}, 'additionalProperties': False}}}, {'name': 'get_gem_versions', 'description': 'Get all available versions of a specific RubyGem', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['gem_name'], 'properties': {'limit': {'type': 'integer', 'description': 'Maximum number of versions to return', 'exclusiveMinimum': 0}, 'gem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch versions for'}}, 'additionalProperties': False}}}, {'name': 'get_gem_reverse_dependencies', 'description': 'Get gems that depend on a specific RubyGem', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['gem_name'], 'properties': {'gem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch reverse dependencies for'}}, 'additionalProperties': False}}}, {'name': 'get_owner_gems', 'description': 'Get all RubyGems owned by a specific user or organization', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['owner_name'], 'properties': {'owner_name': {'type': 'string', 'minLength': 1, 'description': 'Username of the RubyGem owner to fetch gems for'}}, 'additionalProperties': False}}}, {'name': 'get_gem_owners', 'description': 'Get the owners of a specific RubyGem', 'inputSchema': {'type': 'object', 'properties': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['gem_name'], 'properties': {'gem_name': {'type': 'string', 'minLength': 1, 'description': 'Name of the RubyGem to fetch owners for'}}, 'additionalProperties': False}}}] |
@JackKuo666/weather-mcp-server | Weather MCP Server | Retrieve real-time weather information effortlessly. Get alerts and forecasts for specific locations using the National Weather Service API. Enhance your applications with accurate weather data at your fingertips. | 2025-03-18T08:54:51.428Z | 0 | https://smithery.ai/server/@JackKuo666/weather-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'get_alerts', 'description': 'Get weather alerts for a US state.\n\n Args:\n state: Two-letter US state code (e.g. CA, NY)\n ', 'inputSchema': {'type': 'object', 'title': 'get_alertsArguments', 'required': ['state'], 'properties': {'state': {'type': 'string', 'title': 'State'}}}}, {'name': 'get_forecast', 'description': 'Get weather forecast for a location.\n\n Args:\n latitude: Latitude of the location\n longitude: Longitude of the location\n ', 'inputSchema': {'type': 'object', 'title': 'get_forecastArguments', 'required': ['latitude', 'longitude'], 'properties': {'latitude': {'type': 'number', 'title': 'Latitude'}, 'longitude': {'type': 'number', 'title': 'Longitude'}}}}] |
@JackKuo666/weather-mcp-server | Weather MCP Server | Retrieve real-time weather information effortlessly. Get alerts and forecasts for specific locations using the National Weather Service API. Enhance your applications with accurate weather data at your fingertips. | 2025-03-18T08:54:51.428Z | 0 | https://smithery.ai/server/@JackKuo666/weather-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'get_alerts', 'description': 'Get weather alerts for a US state.\n\n Args:\n state: Two-letter US state code (e.g. CA, NY)\n ', 'inputSchema': {'type': 'object', 'title': 'get_alertsArguments', 'required': ['state'], 'properties': {'state': {'type': 'string', 'title': 'State'}}}}, {'name': 'get_forecast', 'description': 'Get weather forecast for a location.\n\n Args:\n latitude: Latitude of the location\n longitude: Longitude of the location\n ', 'inputSchema': {'type': 'object', 'title': 'get_forecastArguments', 'required': ['latitude', 'longitude'], 'properties': {'latitude': {'type': 'number', 'title': 'Latitude'}, 'longitude': {'type': 'number', 'title': 'Longitude'}}}}] |
@mhazarabad/browser-use-mcp | Browser Use Automation Server | Automate browser tasks seamlessly using the Browser Use API. Run, monitor, pause, resume, and manage browser automation tasks with ease. Check your account balance and retrieve detailed task information to streamline your workflows. | 2025-04-29T07:23:49.485Z | 0 | https://smithery.ai/server/@mhazarabad/browser-use-mcp | true | null | {
"scanPassed": true
} | [{'name': 'run task', 'description': "Run a browser automation task with instructions and wait for completion.\nReturns the task's final output when complete.", 'inputSchema': {'type': 'object', 'title': 'run_taskArguments', 'required': ['instructions'], 'properties': {'parameters': {'anyOf': [{'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Parameters', 'default': None}, 'instructions': {'type': 'string', 'title': 'Instructions'}, 'structured_output': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Structured Output', 'default': None}}}}, {'name': 'get task', 'description': 'Retrieve details of a browser automation task by its ID, including steps and output.', 'inputSchema': {'type': 'object', 'title': 'get_taskArguments', 'required': ['task_id'], 'properties': {'task_id': {'type': 'string', 'title': 'Task Id'}}}}, {'name': 'get task status', 'description': 'Check the current status of a browser automation task without retrieving full details.', 'inputSchema': {'type': 'object', 'title': 'get_task_statusArguments', 'required': ['task_id'], 'properties': {'task_id': {'type': 'string', 'title': 'Task Id'}}}}, {'name': 'stop task', 'description': 'Stop a running browser automation task. A stopped task cannot be resumed.', 'inputSchema': {'type': 'object', 'title': 'stop_taskArguments', 'required': ['task_id'], 'properties': {'task_id': {'type': 'string', 'title': 'Task Id'}}}}, {'name': 'pause task', 'description': 'Pause a running browser automation task so it can be resumed later using the resume_task tool.', 'inputSchema': {'type': 'object', 'title': 'pause_taskArguments', 'required': ['task_id'], 'properties': {'task_id': {'type': 'string', 'title': 'Task Id'}}}}, {'name': 'resume task', 'description': 'Resume a previously paused browser automation task to continue execution from where it left off.', 'inputSchema': {'type': 'object', 'title': 'resume_taskArguments', 'required': ['task_id'], 'properties': {'task_id': {'type': 'string', 'title': 'Task Id'}}}}, {'name': 'list tasks', 'description': 'List all browser automation tasks in your account with their current status.\nUse get_task to retrieve full details for a specific task.', 'inputSchema': {'type': 'object', 'title': 'list_tasksArguments', 'properties': {}}}, {'name': 'check_balance', 'description': 'Check your Browser Use account balance, usage limits, and available credits.', 'inputSchema': {'type': 'object', 'title': 'check_balanceArguments', 'properties': {}}}] |
@davidlin2k/pox-mcp-server | POX MCP Server | Manage and control your network with ease using this server. Automate network analysis and OpenFlow device management through a Python-based interface, perfect for educational and research purposes. Simplify your SDN projects with dynamic resources and interactive prompts. | 2025-04-01T20:01:17.237Z | 0 | https://smithery.ai/server/@davidlin2k/pox-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'get_switches', 'description': 'Get a list of all connected OpenFlow switches', 'inputSchema': {'type': 'object', 'title': 'get_switchesArguments', 'properties': {}}}, {'name': 'get_switch_desc', 'description': 'Get detailed information about a specific switch', 'inputSchema': {'type': 'object', 'title': 'get_switch_descArguments', 'required': ['dpid'], 'properties': {'dpid': {'type': 'string', 'title': 'Dpid'}}}}, {'name': 'get_flow_stats', 'description': 'Get flow statistics from a switch', 'inputSchema': {'type': 'object', 'title': 'get_flow_statsArguments', 'required': ['dpid'], 'properties': {'dpid': {'type': 'string', 'title': 'Dpid'}, 'match': {'type': 'object', 'title': 'Match', 'default': None, 'additionalProperties': True}, 'out_port': {'type': 'string', 'title': 'Out Port', 'default': None}, 'table_id': {'type': 'string', 'title': 'Table Id', 'default': None}}}}, {'name': 'set_table', 'description': 'Set the flow table on a switch', 'inputSchema': {'type': 'object', 'title': 'set_tableArguments', 'required': ['dpid', 'flows'], 'properties': {'dpid': {'type': 'string', 'title': 'Dpid'}, 'flows': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'title': 'Flows'}}}}, {'name': 'append_insight', 'description': 'Add a network insight to the configuration memo', 'inputSchema': {'type': 'object', 'title': 'append_insightArguments', 'required': ['insight'], 'properties': {'insight': {'type': 'string', 'title': 'Insight'}}}}] |
@FutureAtoms/agentic-control-framework | Agentic Control Framework | Manage and organize your development tasks efficiently using a powerful CLI and AI-enhanced workflows. Break down complex projects into subtasks, track progress, and adapt to changing requirements seamlessly. Integrate smoothly with Cursor IDE via MCP for enhanced productivity. | 2025-05-01T19:17:01.187Z | 0 | https://smithery.ai/server/@FutureAtoms/agentic-control-framework | true | null | {
"scanPassed": false
} | [{'name': 'setWorkspace', 'description': 'Sets the workspace directory for the task manager.', 'inputSchema': {'type': 'object', 'required': ['workspacePath'], 'properties': {'workspacePath': {'type': 'string', 'description': 'The path to the workspace directory.'}}}}, {'name': 'initProject', 'description': 'Initializes the task manager project.', 'inputSchema': {'type': 'object', 'properties': {'projectName': {'type': 'string', 'description': 'Optional name for the project.'}, 'projectDescription': {'type': 'string', 'description': 'Optional goal or description for the project.'}}}}, {'name': 'addTask', 'description': 'Adds a new task to the task list.', 'inputSchema': {'type': 'object', 'required': ['title'], 'properties': {'title': {'type': 'string', 'description': 'The title of the task.'}, 'priority': {'enum': ['low', 'medium', 'high'], 'type': 'string', 'description': 'Optional priority (low, medium, high). Defaults to medium.'}, 'dependsOn': {'type': 'string', 'description': 'Optional comma-separated string of task IDs it depends on.'}, 'description': {'type': 'string', 'description': 'Optional description for the task.'}, 'relatedFiles': {'type': 'string', 'description': 'Optional comma-separated string of relevant file paths.'}}}}, {'name': 'addSubtask', 'description': 'Adds a subtask to a specified parent task.', 'inputSchema': {'type': 'object', 'required': ['parentId', 'title'], 'properties': {'title': {'type': 'string', 'description': 'The title of the subtask.'}, 'parentId': {'type': 'number', 'description': 'The ID of the parent task.'}}}}, {'name': 'listTasks', 'description': 'Lists tasks, optionally filtered by status.', 'inputSchema': {'type': 'object', 'properties': {'format': {'enum': ['json', 'table', 'human'], 'type': 'string', 'description': 'Optional output format. "human" provides a readable format with checkboxes.'}, 'status': {'enum': ['todo', 'inprogress', 'done', 'blocked', 'error'], 'type': 'string', 'description': 'Optional status to filter by.'}}}}, {'name': 'updateStatus', 'description': 'Updates the status of a task or subtask.', 'inputSchema': {'type': 'object', 'required': ['id', 'newStatus'], 'properties': {'id': {'type': 'string', 'description': 'The ID of the task or subtask (e.g., 1 or 1.1).'}, 'message': {'type': 'string', 'description': 'Optional message to add to the activity log.'}, 'newStatus': {'enum': ['todo', 'inprogress', 'done', 'blocked', 'error'], 'type': 'string', 'description': 'The new status.'}}}}, {'name': 'getNextTask', 'description': 'Gets the next actionable task based on status, dependencies, and priority.', 'inputSchema': {'type': 'object'}}, {'name': 'updateTask', 'description': 'Updates the details of a task or subtask.', 'inputSchema': {'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'The ID of the task or subtask.'}, 'title': {'type': 'string', 'description': 'Optional new title.'}, 'message': {'type': 'string', 'description': 'Optional message to add to the activity log.'}, 'priority': {'enum': ['low', 'medium', 'high'], 'type': 'string', 'description': 'Optional new priority (applies to main tasks).'}, 'description': {'type': 'string', 'description': 'Optional new description (applies to main tasks).'}, 'relatedFiles': {'type': 'string', 'description': 'Optional comma-separated string of relevant file paths (replaces existing).'}}}}, {'name': 'removeTask', 'description': 'Removes a task or subtask by its ID.', 'inputSchema': {'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'The ID of the task or subtask to remove.'}}}}, {'name': 'getContext', 'description': 'Retrieves detailed context for a specific task or subtask.', 'inputSchema': {'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'The ID of the task or subtask (e.g., 1 or 1.1).'}}}}, {'name': 'generateTaskFiles', 'description': 'Generates individual Markdown files for each task in the tasks/ directory.', 'inputSchema': {'type': 'object'}}, {'name': 'parsePrd', 'description': 'Parses a Product Requirements Document (PRD) file using the Gemini API to generate tasks.', 'inputSchema': {'type': 'object', 'required': ['filePath'], 'properties': {'filePath': {'type': 'string', 'description': 'Path to the PRD file to parse.'}}}}, {'name': 'expandTask', 'description': 'Uses the Gemini API to break down a task into subtasks (overwrites existing subtasks).', 'inputSchema': {'type': 'object', 'required': ['taskId'], 'properties': {'taskId': {'type': 'string', 'description': 'The ID of the task to expand.'}}}}, {'name': 'reviseTasks', 'description': 'Uses the Gemini API to revise future tasks based on a prompt/change, starting from a specific task ID.', 'inputSchema': {'type': 'object', 'required': ['fromTaskId', 'prompt'], 'properties': {'prompt': {'type': 'string', 'description': 'User prompt describing the change.'}, 'fromTaskId': {'type': 'string', 'description': 'Task ID from which revision should start.'}}}}, {'name': 'generateTaskTable', 'description': 'Generates a human-readable Markdown file with task statuses and checkboxes.', 'inputSchema': {'type': 'object'}}] |
@nicolasdickenmann/car-listings-mcp | Car Listings | Manage and retrieve car listings efficiently. Streamline your vehicle inventory management and enhance user experience with quick access to detailed car information. | 2025-04-02T18:16:13.854Z | 0 | https://smithery.ai/server/@nicolasdickenmann/car-listings-mcp | true | null | {
"scanPassed": true
} | [{'name': 'search_cars', 'description': '\n Search for cars using natural language.\n \n Args:\n query: The search query in natural language (e.g., "I want a Toyota with less than 50,000 miles")\n \n Returns:\n A structured string with car search results\n ', 'inputSchema': {'type': 'object', 'title': 'search_carsArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}}}}] |
@apimatic/apimatic-validator-mcp | APIMatic Validator | Validate your OpenAPI specifications effortlessly. Ensure compliance and catch issues early by leveraging comprehensive validation powered by APIMatic's API. Support for both JSON and YAML formats makes it versatile for your development needs. | 2025-03-26T15:00:57.847Z | 0 | https://smithery.ai/server/@apimatic/apimatic-validator-mcp | true | null | {
"scanPassed": true
} | [{'name': 'validate-openapi-using-apimatic', 'description': 'Get validation summary for your OpenAPI spec using APIMatic', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['openApiFile', 'isYaml'], 'properties': {'isYaml': {'type': 'boolean', 'description': 'Whether the OpenAPI file is in YAML format'}, 'openApiFile': {'type': 'string', 'description': 'The OpenAPI file content as a string'}}, 'additionalProperties': False}}] |
@Castrozan/token-info-mcp | Token Info Server | Validate OAuth tokens and retrieve detailed information about them, including expiration status, remaining validity time, client details, associated scopes, and user ID. Integrate seamlessly with MCP-compatible clients to enhance token management workflows. Simplify OAuth token verification with a dedicated MCP server tailored for Betha Sistemas tokens. | 2025-04-18T03:48:05.321Z | 0 | https://smithery.ai/server/@Castrozan/token-info-mcp | true | null | null | [{'name': 'verify_betha_token', 'description': 'Verify an OAuth token on Betha services and get its information', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['accessToken'], 'properties': {'accessToken': {'type': 'string', 'description': 'The OAuth access token to verify'}}, 'additionalProperties': False}}] |
@kazuph/mcp-docs-rag | RAG Server for Documents | Query and manage documents in your local directory using advanced retrieval-augmented generation techniques. Enhance your LLM's capabilities by integrating context from your documents seamlessly. Easily add Git repositories or text files and retrieve information efficiently. | 2025-03-22T16:00:43.345Z | 0 | https://smithery.ai/server/@kazuph/mcp-docs-rag | true | null | null | [{'name': 'list_documents', 'description': 'List all available documents in the DOCS_PATH directory. Always use this tool first to check if desired documents already exist before adding new ones.', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'rag_query', 'description': 'Query a document using RAG. Note: If the index does not exist, it will be created when you query, which may take some time.', 'inputSchema': {'type': 'object', 'required': ['document_id', 'query'], 'properties': {'query': {'type': 'string', 'description': 'Query to run against the document'}, 'document_id': {'type': 'string', 'description': 'ID of the document to query'}}}}, {'name': 'add_git_repository', 'description': "Add a git repository to the docs directory with optional sparse checkout. Please do not use 'docs' in the document name.", 'inputSchema': {'type': 'object', 'required': ['repository_url'], 'properties': {'subdirectory': {'type': 'string', 'description': "Optional: Specific subdirectory to sparse checkout (e.g. 'path/to/specific/dir'). This uses Git's sparse-checkout feature to only download the specified directory."}, 'document_name': {'type': 'string', 'description': "Optional: Custom name for the document (defaults to repository name). Use a simple, descriptive name without '-docs' suffix. For example, use 'react' instead of 'react-docs'."}, 'repository_url': {'type': 'string', 'description': 'URL of the git repository to clone'}}}}, {'name': 'add_text_file', 'description': "Add a text file to the docs directory with a specified name. Please do not use 'docs' in the document name.", 'inputSchema': {'type': 'object', 'required': ['file_url', 'document_name'], 'properties': {'file_url': {'type': 'string', 'description': 'URL of the text file to download'}, 'document_name': {'type': 'string', 'description': "Name of the document (will be used as directory name). Choose a descriptive name rather than using the URL filename (e.g. 'hono' instead of 'llms-full.txt')"}}}}] |
@kazuph/mcp-docs-rag | RAG Server for Documents | Query and manage documents in your local directory using advanced retrieval-augmented generation techniques. Enhance your LLM's capabilities by integrating context from your documents seamlessly. Easily add Git repositories or text files and retrieve information efficiently. | 2025-03-22T16:00:43.345Z | 0 | https://smithery.ai/server/@kazuph/mcp-docs-rag | true | null | null | [{'name': 'list_documents', 'description': 'List all available documents in the DOCS_PATH directory. Always use this tool first to check if desired documents already exist before adding new ones.', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'rag_query', 'description': 'Query a document using RAG. Note: If the index does not exist, it will be created when you query, which may take some time.', 'inputSchema': {'type': 'object', 'required': ['document_id', 'query'], 'properties': {'query': {'type': 'string', 'description': 'Query to run against the document'}, 'document_id': {'type': 'string', 'description': 'ID of the document to query'}}}}, {'name': 'add_git_repository', 'description': "Add a git repository to the docs directory with optional sparse checkout. Please do not use 'docs' in the document name.", 'inputSchema': {'type': 'object', 'required': ['repository_url'], 'properties': {'subdirectory': {'type': 'string', 'description': "Optional: Specific subdirectory to sparse checkout (e.g. 'path/to/specific/dir'). This uses Git's sparse-checkout feature to only download the specified directory."}, 'document_name': {'type': 'string', 'description': "Optional: Custom name for the document (defaults to repository name). Use a simple, descriptive name without '-docs' suffix. For example, use 'react' instead of 'react-docs'."}, 'repository_url': {'type': 'string', 'description': 'URL of the git repository to clone'}}}}, {'name': 'add_text_file', 'description': "Add a text file to the docs directory with a specified name. Please do not use 'docs' in the document name.", 'inputSchema': {'type': 'object', 'required': ['file_url', 'document_name'], 'properties': {'file_url': {'type': 'string', 'description': 'URL of the text file to download'}, 'document_name': {'type': 'string', 'description': "Name of the document (will be used as directory name). Choose a descriptive name rather than using the URL filename (e.g. 'hono' instead of 'llms-full.txt')"}}}}] |
@ErgodicLabs/twotruthsandatwist | Two Truths and a Twist | Engage in a fun trivia game where you identify the false statement among two truths. Experience interactive gameplay powered by AI, making each round unique and entertaining. Connect your MCP-compatible LLM to enjoy a seamless gaming experience. | 2025-04-02T04:22:32.005Z | 0 | https://smithery.ai/server/@ErgodicLabs/twotruthsandatwist | true | null | {
"scanPassed": true
} | [{'name': 'create_round', 'description': 'Create a new game round with a question and three statements. The twist should be playful, surprising, and entertaining - not just factually incorrect.', 'inputSchema': {'type': 'object', 'required': ['category', 'question', 'trivia_1', 'trivia_2', 'trivia_3'], 'properties': {'category': {'type': 'string', 'description': 'The category of the question'}, 'question': {'type': 'string', 'description': 'The main question for the round'}, 'trivia_1': {'type': 'string', 'description': 'First statement - can be truth or twist'}, 'trivia_2': {'type': 'string', 'description': 'Second statement - can be truth or twist'}, 'trivia_3': {'type': 'string', 'description': 'Third statement - can be truth or twist'}}}}, {'name': 'submit_guess', 'description': "Submit a player's guess for which statement is the twist", 'inputSchema': {'type': 'object', 'required': ['round_id', 'guess_index'], 'properties': {'round_id': {'type': 'integer', 'description': 'The ID of the round'}, 'guess_index': {'type': 'integer', 'description': 'Index of the guessed statement (0, 1, or 2)'}}}}, {'name': 'reveal_twist', 'description': 'Reveal which statement was the twist and provide explanations. The explanations should be entertaining and playful - build anticipation and make the reveal fun!', 'inputSchema': {'type': 'object', 'required': ['round_id', 'twist_index', 'explanation_1', 'explanation_2', 'explanation_3'], 'properties': {'round_id': {'type': 'integer', 'description': 'The ID of the round'}, 'twist_index': {'type': 'integer', 'description': 'Index of the twist statement (0, 1, or 2)'}, 'explanation_1': {'type': 'string', 'description': 'Explanation for statement 1 - be creative and entertaining'}, 'explanation_2': {'type': 'string', 'description': 'Explanation for statement 2 - be creative and entertaining'}, 'explanation_3': {'type': 'string', 'description': 'Explanation for statement 3 - be creative and entertaining'}}}}, {'name': 'get_round', 'description': 'Get details of a specific round', 'inputSchema': {'type': 'object', 'required': ['round_id'], 'properties': {'round_id': {'type': 'integer', 'description': 'The ID of the round to retrieve'}}}}, {'name': 'get_last_round', 'description': 'Get details of the most recent round', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'get_stats', 'description': 'Get game statistics', 'inputSchema': {'type': 'object', 'properties': {}}}] |
@SettledCo/mcp-weather-server | Weather Server | Provide dynamic weather-related tools including message echoing, weather PDF generation with charts, and arithmetic calculations. Securely manage sessions and authenticate API requests to ensure safe and reliable interactions. Enable clients to integrate weather data and utilities seamlessly via a robust MCP server implementation. | 2025-04-29T19:51:50.755Z | 0 | https://smithery.ai/server/@SettledCo/mcp-weather-server | true | null | {
"scanPassed": true
} | [{'name': 'echo', 'inputSchema': {'type': 'object'}}, {'name': 'generate-weather-pdf', 'inputSchema': {'type': 'object'}}, {'name': 'calculator', 'inputSchema': {'type': 'object'}}] |
@CircleCI-Public/mcp-server-circleci | CircleCI MCP Server | Enable natural language interactions with CircleCI functionality through MCP-enabled clients. Use this server to retrieve build logs, analyze failures, and manage your CI/CD processes seamlessly from your IDE. Simplify your workflow by integrating CircleCI commands directly into your development environment. | 2025-04-06T23:00:16.948Z | 0 | https://smithery.ai/server/@CircleCI-Public/mcp-server-circleci | true | null | {
"scanPassed": true
} | [{'name': 'get_build_failure_logs', 'description': '\n This tool helps debug CircleCI build failures by retrieving failure logs.\n\n Input options (EXACTLY ONE of these two options must be used):\n\n Option 1 - Direct URL (provide ONE of these):\n - failedJobURL: The URL of the failed CircleCI job (must be provided by the user)\n - failedPipelineURL: The URL of the failed CircleCI pipeline (must be provided by the user)\n\n Option 2 - Project Detection (ALL of these must be provided together):\n - workspaceRoot: The absolute path to the workspace root\n - gitRemoteURL: The URL of the git remote repository\n - branch: The name of the current branch\n\n IMPORTANT:\n - Never call this tool with incomplete parameters\n - If using Option 1, the URLs MUST be provided by the user - do not attempt to construct or guess URLs\n - If using Option 2, ALL THREE parameters (workspaceRoot, gitRemoteURL, branch) must be provided\n - If neither option can be fully satisfied, ask the user for the missing information before making the tool call\n ', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['params'], 'properties': {'params': {'type': 'object', 'properties': {'branch': {'type': 'string', 'description': 'The name of the branch currently checked out in local workspace. This should match local git branch. For example: "feature/my-branch", "bugfix/123", "main", "master" etc.'}, 'failedJobURL': {'type': 'string', 'description': 'The URL of the failed CircleCI job. This should be a link to the job in the CircleCI web app.'}, 'gitRemoteURL': {'type': 'string', 'description': 'The URL of the remote git repository. This should be the URL of the repository that you cloned to your local workspace. For example: "https://github.com/user/my-project.git"'}, 'workspaceRoot': {'type': 'string', 'description': 'The absolute path to the root directory of your project workspace. This should be the top-level folder containing your source code, configuration files, and dependencies. For example: "/home/user/my-project" or "C:\\Users\\user\\my-project"'}, 'failedPipelineURL': {'type': 'string', 'description': 'The URL of the failed CircleCI pipeline. This should be a link to the pipeline in the CircleCI web app.'}}, 'additionalProperties': False}}, 'additionalProperties': False}}] |
@yuzhi-jiang/memos-cmp | Memos MCP 服务器 | 连接到你的 Memos 实例，安全地通过 AI 助手与备忘录交互。利用强大的工具进行搜索、创建、更新和管理备忘录，提升你的工作效率。 | 2025-04-03T01:05:27.948Z | 0 | https://smithery.ai/server/@yuzhi-jiang/memos-cmp | true | null | {
"scanPassed": true
} | [{'name': 'search_memos', 'description': '\n 搜索备忘录\n \n Args:\n query: 搜索关键词\n filter_expr: CEL 表达式过滤器，例如 "content.contains(\'关键词\')"\n ', 'inputSchema': {'type': 'object', 'title': 'search_memosArguments', 'properties': {'query': {'type': 'string', 'title': 'Query', 'default': None}, 'filter_expr': {'type': 'string', 'title': 'Filter Expr', 'default': None}}}}, {'name': 'filter_memos', 'description': '\n 使用 CEL 表达式过滤备忘录\n \n Args:\n filter_expr: CEL 表达式过滤器，例如 "content.contains(\'关键词\')" 或 "createTime > timestamp(\'2023-01-01T00:00:00Z\')"\n ', 'inputSchema': {'type': 'object', 'title': 'filter_memosArguments', 'required': ['filter_expr'], 'properties': {'filter_expr': {'type': 'string', 'title': 'Filter Expr'}}}}, {'name': 'create_memo', 'description': '\n 创建新备忘录\n \n Args:\n content: 备忘录内容\n visibility: 可见性设置 (PRIVATE, PROTECTED, PUBLIC)\n tags: 标签列表，如果不提供则使用默认标签\n ', 'inputSchema': {'type': 'object', 'title': 'create_memoArguments', 'required': ['content'], 'properties': {'tags': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Tags', 'default': None}, 'content': {'type': 'string', 'title': 'Content'}, 'visibility': {'type': 'string', 'title': 'Visibility', 'default': 'PRIVATE'}}}}, {'name': 'update_memo', 'description': '\n 更新备忘录\n \n Args:\n memo_id: 备忘录ID\n content: 新的备忘录内容\n visibility: 新的可见性设置 (PRIVATE, PROTECTED, PUBLIC)\n ', 'inputSchema': {'type': 'object', 'title': 'update_memoArguments', 'required': ['memo_id'], 'properties': {'content': {'type': 'string', 'title': 'Content', 'default': None}, 'memo_id': {'type': 'string', 'title': 'Memo Id'}, 'visibility': {'type': 'string', 'title': 'Visibility', 'default': None}}}}, {'name': 'delete_memo', 'description': '\n 删除备忘录\n \n Args:\n memo_id: 要删除的备忘录ID\n ', 'inputSchema': {'type': 'object', 'title': 'delete_memoArguments', 'required': ['memo_id'], 'properties': {'memo_id': {'type': 'string', 'title': 'Memo Id'}}}}, {'name': 'list_memo_comments', 'description': '\n 列出备忘录的评论\n \n Args:\n memo_id: 备忘录ID\n ', 'inputSchema': {'type': 'object', 'title': 'list_memo_commentsArguments', 'required': ['memo_id'], 'properties': {'memo_id': {'type': 'string', 'title': 'Memo Id'}}}}, {'name': 'create_memo_comment', 'description': '\n 创建备忘录评论\n \n Args:\n memo_id: 备忘录ID\n content: 评论内容\n ', 'inputSchema': {'type': 'object', 'title': 'create_memo_commentArguments', 'required': ['memo_id', 'content'], 'properties': {'content': {'type': 'string', 'title': 'Content'}, 'memo_id': {'type': 'string', 'title': 'Memo Id'}}}}, {'name': 'delete_memo_comment', 'description': '\n 删除备忘录评论\n \n Args:\n memo_id: 备忘录ID\n comment_id: 评论ID\n ', 'inputSchema': {'type': 'object', 'title': 'delete_memo_commentArguments', 'required': ['memo_id', 'comment_id'], 'properties': {'memo_id': {'type': 'string', 'title': 'Memo Id'}, 'comment_id': {'type': 'string', 'title': 'Comment Id'}}}}, {'name': 'delete_memo_tag', 'description': '\n 从备忘录中删除标签\n \n Args:\n memo_id: 备忘录ID\n tag: 要删除的标签名称(不包含#符号)\n ', 'inputSchema': {'type': 'object', 'title': 'delete_memo_tagArguments', 'required': ['memo_id', 'tag'], 'properties': {'tag': {'type': 'string', 'title': 'Tag'}, 'memo_id': {'type': 'string', 'title': 'Memo Id'}}}}] |
@5ajaki/safe-mcp-server | Safe MCP Server | Interact with Safe smart contract wallets to query transactions, retrieve multisig details, and decode transaction data. Simplify your operations with seamless integration to the Safe API, allowing for efficient management of your digital assets. | 2025-03-09T10:00:54.083Z | 0 | https://smithery.ai/server/@5ajaki/safe-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'getSafeTransactions', 'description': 'Get all transactions for a Safe address', 'inputSchema': {'type': 'object', 'required': ['address'], 'properties': {'limit': {'type': 'number', 'description': 'Number of transactions to return'}, 'offset': {'type': 'number', 'description': 'Offset for pagination'}, 'address': {'type': 'string', 'description': 'Safe address'}}}}, {'name': 'getMultisigTransaction', 'description': 'Get details of a specific multisig transaction', 'inputSchema': {'type': 'object', 'required': ['safeTxHash'], 'properties': {'safeTxHash': {'type': 'string', 'description': 'Safe transaction hash'}}}}, {'name': 'decodeTransactionData', 'description': 'Decode transaction data using Safe API', 'inputSchema': {'type': 'object', 'required': ['data'], 'properties': {'to': {'type': 'string', 'description': 'Optional contract address'}, 'data': {'type': 'string', 'description': 'Transaction data in hex format'}}}}] |
@georgeck/hn-companion-mcp | Hacker News Companion | Summarize Hacker News discussions effortlessly. Fetch and process comments to generate high-quality summaries tailored for Claude. Enhance your engagement with community insights and structured data. | 2025-03-26T05:00:36.450Z | 0 | https://smithery.ai/server/@georgeck/hn-companion-mcp | true | null | {
"scanPassed": true
} | [{'name': 'get_hn_post_formatted_comments', 'description': 'Retrieves and formats comments from a Hacker News discussion post for summarization by an LLM. Use the `hacker_news_summarization_user_prompt` prompts to generate a summary.', 'inputSchema': {'type': 'object', 'required': ['post_url'], 'properties': {'post_url': {'type': 'string', 'description': 'The URL or ID for the Hacker News post to analyze. Can be a full URL (https://news.ycombinator.com/item?id=43456723) or just the numeric post ID e.g. 43456723.'}}}, 'outputSchema': {'type': 'object', 'properties': {'content': {'type': 'array', 'description': "Contains the formatted comments ('formattedComments') and user prompt ('userPrompt') - Follow the instructions in the `userPrompt` on interpreting the formatted comments."}, 'metadata': {'type': 'object', 'description': 'Contains post ID (postId), comment count (commentCount), and original post URL (postUrl).'}}}}] |
@gkhays/mcp-sbom-server | SBOM Server | Perform scans and generate Software Bill of Materials (SBOM) in CycloneDX format. Enhance your security posture by identifying vulnerabilities in your software dependencies with ease. Integrate seamlessly with your existing MCP clients for efficient scanning and reporting. | 2025-04-05T12:00:39.191Z | 0 | https://smithery.ai/server/@gkhays/mcp-sbom-server | true | null | {
"scanPassed": true
} | [{'name': 'scan', 'description': '\n Execute Trivy scanner to generate SPDX SBOM for a container image.\n Supports the SPDX JSON format.\n\n Args:\n image (str): The container image name/reference to scan\n\n Returns:\n str: Test response or error message\n ', 'inputSchema': {'type': 'object', 'title': 'scanArguments', 'required': ['image'], 'properties': {'image': {'type': 'string', 'title': 'Image'}}}}] |
pubmed-search | PubMed Search | Search PubMed via MCP. | 2024-12-20T07:56:49.799Z | 0 | https://smithery.ai/server/pubmed-search | true | null | {
"scanPassed": true
} | [{'name': 'pubmed_search', 'description': 'Search PubMed medical literature database', 'inputSchema': {'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'description': 'Medical/scientific search query'}, 'max_results': {'type': 'number', 'default': 15, 'description': 'Maximum number of results (1-15)'}}}}] |
@datalayer/earthdata-mcp-server | Earthdata Server | Enable efficient discovery and retrieval of NASA Earth Data datasets and granules for geospatial analysis. Search and access Earthdata datasets with powerful tools integrated into your workflows. Facilitate AI-powered geospatial data exploration and analysis seamlessly. | 2025-04-23T20:01:05.288Z | 0 | https://smithery.ai/server/@datalayer/earthdata-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'search_earth_datasets', 'description': '\n Search for datasets on NASA Earthdata.\n \n Args:\n search_keywords: Keywords to search for in the dataset titles.\n count: Number of datasets to return.\n temporal: (Optional) Temporal range in the format (date_from, date_to).\n bounding_box: (Optional) Bounding box in the format (lower_left_lon, lower_left_lat, upper_right_lon, upper_right_lat).\n \n Returns:\n list\n List of dataset abstracts.\n ', 'inputSchema': {'type': 'object', 'title': 'search_earth_datasetsArguments', 'required': ['search_keywords', 'count', 'temporal', 'bounding_box'], 'properties': {'count': {'type': 'integer', 'title': 'Count'}, 'temporal': {'anyOf': [{'type': 'array', 'items': {}}, {'type': 'null'}], 'title': 'Temporal'}, 'bounding_box': {'anyOf': [{'type': 'array', 'items': {}}, {'type': 'null'}], 'title': 'Bounding Box'}, 'search_keywords': {'type': 'string', 'title': 'Search Keywords'}}}}, {'name': 'search_earth_datagranules', 'description': '\n Search for data granules on NASA Earthdata.\n \n Args:\n short_name: Short name of the dataset.\n count: Number of data granules to return.\n temporal: (Optional) Temporal range in the format (date_from, date_to).\n bounding_box: (Optional) Bounding box in the format (lower_left_lon, lower_left_lat, upper_right_lon, upper_right_lat).\n \n Returns:\n list\n List of data granules.\n ', 'inputSchema': {'type': 'object', 'title': 'search_earth_datagranulesArguments', 'required': ['short_name', 'count', 'temporal', 'bounding_box'], 'properties': {'count': {'type': 'integer', 'title': 'Count'}, 'temporal': {'anyOf': [{'type': 'array', 'items': {}}, {'type': 'null'}], 'title': 'Temporal'}, 'short_name': {'type': 'string', 'title': 'Short Name'}, 'bounding_box': {'anyOf': [{'type': 'array', 'items': {}}, {'type': 'null'}], 'title': 'Bounding Box'}}}}] |
@chroma-core/chroma-mcp | Chroma MCP Server | Integrate vector database capabilities into your LLM applications. Effortlessly manage collections, perform semantic searches, and retrieve data with advanced filtering. Enhance your AI models with powerful data retrieval features for improved context and performance. | 2025-03-14T16:01:14.283Z | 0 | https://smithery.ai/server/@chroma-core/chroma-mcp | true | null | {
"scanPassed": true
} | [{'name': 'chroma_list_collections', 'description': 'List all collection names in the Chroma database with pagination support.\n \n Args:\n limit: Optional maximum number of collections to return\n offset: Optional number of collections to skip before returning results\n \n Returns:\n List of collection names\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_list_collectionsArguments', 'properties': {'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}}}}, {'name': 'chroma_create_collection', 'description': "Create a new Chroma collection with configurable HNSW parameters.\n \n Args:\n collection_name: Name of the collection to create\n hnsw_space: Distance function used in HNSW index. Options: 'l2', 'ip', 'cosine'\n hnsw_construction_ef: Size of the dynamic candidate list for constructing the HNSW graph\n hnsw_search_ef: Size of the dynamic candidate list for searching the HNSW graph\n hnsw_M: Number of bi-directional links created for every new element\n hnsw_num_threads: Number of threads to use during HNSW construction\n hnsw_resize_factor: Factor to resize the index by when it's full\n hnsw_batch_size: Number of elements to batch together during index construction\n hnsw_sync_threshold: Number of elements to process before syncing index to disk\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_create_collectionArguments', 'required': ['collection_name'], 'properties': {'hnsw_M': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw M', 'default': None}, 'hnsw_space': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Hnsw Space', 'default': None}, 'hnsw_search_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Search Ef', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}, 'hnsw_batch_size': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Batch Size', 'default': None}, 'hnsw_num_threads': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Num Threads', 'default': None}, 'hnsw_resize_factor': {'anyOf': [{'type': 'number'}, {'type': 'null'}], 'title': 'Hnsw Resize Factor', 'default': None}, 'hnsw_sync_threshold': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Sync Threshold', 'default': None}, 'hnsw_construction_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Construction Ef', 'default': None}}}}, {'name': 'chroma_peek_collection', 'description': 'Peek at documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to peek into\n limit: Number of documents to peek at\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_peek_collectionArguments', 'required': ['collection_name'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 5}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_info', 'description': 'Get information about a Chroma collection.\n \n Args:\n collection_name: Name of the collection to get info about\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_infoArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_count', 'description': 'Get the number of documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to count\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_countArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_modify_collection', 'description': "Modify a Chroma collection's name or metadata.\n \n Args:\n collection_name: Name of the collection to modify\n new_name: Optional new name for the collection\n new_metadata: Optional new metadata for the collection\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_modify_collectionArguments', 'required': ['collection_name'], 'properties': {'new_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'New Name', 'default': None}, 'new_metadata': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'New Metadata', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_delete_collection', 'description': 'Delete a Chroma collection.\n \n Args:\n collection_name: Name of the collection to delete\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_delete_collectionArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_add_documents', 'description': 'Add documents to a Chroma collection.\n \n Args:\n collection_name: Name of the collection to add documents to\n documents: List of text documents to add\n metadatas: Optional list of metadata dictionaries for each document\n ids: Optional list of IDs for the documents\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_add_documentsArguments', 'required': ['collection_name', 'documents'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'documents': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Documents'}, 'metadatas': {'anyOf': [{'type': 'array', 'items': {'type': 'object'}}, {'type': 'null'}], 'title': 'Metadatas', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_query_documents', 'description': 'Query documents from a Chroma collection with advanced filtering.\n \n Args:\n collection_name: Name of the collection to query\n query_texts: List of query texts to search for\n n_results: Number of results to return per query\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas", "distances"]\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_query_documentsArguments', 'required': ['collection_name', 'query_texts'], 'properties': {'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'n_results': {'type': 'integer', 'title': 'N Results', 'default': 5}, 'query_texts': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Query Texts'}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_documents', 'description': 'Get documents from a Chroma collection with optional filtering.\n \n Args:\n collection_name: Name of the collection to get documents from\n ids: Optional list of document IDs to retrieve\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas"]\n limit: Optional maximum number of documents to return\n offset: Optional number of documents to skip before returning results\n \n Returns:\n Dictionary containing the matching documents, their IDs, and requested includes\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_documentsArguments', 'required': ['collection_name'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_sequential_thinking', 'description': 'A detailed tool for dynamic and reflective problem-solving through thoughts.\n \n This tool helps analyze problems through a flexible thinking process that can adapt and evolve.\n Each thought can build on, question, or revise previous insights as understanding deepens.\n \n Args:\n thought: Do not store code in the thought. It is your current thinking step, which can include:\n * Regular analytical steps\n * Revisions of previous thoughts\n * Questions about previous decisions\n * Realizations about needing more analysis\n * Changes in approach\n * Hypothesis generation\n * Hypothesis verification\n Do not make thoughts superfluous. Do not store code in the thought. \n thoughtNumber: Current thought number\n * The current number in sequence (can go beyond initial total if needed)\n totalThoughts: Estimated total thoughts needed\n * Current estimate of thoughts needed (can be adjusted up/down)\n sessionId: Identifier for the thinking session. Provide if this is not the first thought in the session.\n * A unique identifier for the current thinking session\n nextThoughtNeeded: Whether another thought step is needed\n * True if you need more thinking, even if at what seemed like the end\n isRevision: Whether this revises previous thinking\n * A boolean indicating if this thought revises previous thinking\n revisesThought: Which thought is being reconsidered\n * If isRevision is true, which thought number is being reconsidered\n branchFromThought: Branching point thought number\n * If branching, which thought number is the branching point\n branchId: Branch identifier\n * Identifier for the current branch (if any)\n needsMoreThoughts: If more thoughts are needed\n * If reaching end but realizing more thoughts needed\n sessionSummary: A summary of the current session. Provide when nextThoughtNeeded is false.\n keyThoughts: A list of key thought numbers from the current session. Provide when nextThoughtNeeded is false.\n persist: Whether to persist thoughts in the Chroma database\n \n You should:\n 1. Start with an initial estimate of needed thoughts, but be ready to adjust\n 2. Feel free to question or revise previous thoughts\n 3. Don\'t hesitate to add more thoughts if needed, even at the "end"\n 4. Express uncertainty when present\n 5. Mark thoughts that revise previous thinking or branch into new paths\n 6. Ignore information that is irrelevant to the current step\n 7. Generate a solution hypothesis when appropriate\n 8. Verify the hypothesis based on the Chain of Thought steps\n 9. Repeat the process until satisfied with the solution\n 10. Provide a single, ideally correct answer as the final output\n 11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached`,\n \n Returns:\n Dictionary with thought metadata\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_sequential_thinkingArguments', 'required': ['thought', 'thoughtNumber', 'totalThoughts', 'nextThoughtNeeded'], 'properties': {'persist': {'type': 'boolean', 'title': 'Persist', 'default': True}, 'thought': {'type': 'string', 'title': 'Thought'}, 'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionid', 'default': None}, 'isRevision': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Isrevision', 'default': None}, 'keyThoughts': {'anyOf': [{'type': 'array', 'items': {'type': 'integer'}}, {'type': 'null'}], 'title': 'Keythoughts', 'default': None}, 'thoughtNumber': {'type': 'integer', 'title': 'Thoughtnumber'}, 'totalThoughts': {'type': 'integer', 'title': 'Totalthoughts'}, 'revisesThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Revisesthought', 'default': None}, 'sessionSummary': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionsummary', 'default': None}, 'branchFromThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Branchfromthought', 'default': None}, 'needsMoreThoughts': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Needsmorethoughts', 'default': None}, 'nextThoughtNeeded': {'type': 'boolean', 'title': 'Nextthoughtneeded'}}}}, {'name': 'chroma_get_similar_sessions', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n text: The text to search for\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_similar_sessionsArguments', 'required': ['text'], 'properties': {'text': {'type': 'string', 'title': 'Text'}}}}, {'name': 'chroma_get_thought_history', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_historyArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_get_thought_branches', 'description': 'Get all branches for a specific thinking session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with branch information\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_branchesArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_continue_thought_chain', 'description': 'Get the latest state of a thought chain to continue it.\n \n Args:\n sessionId: The session identifier\n branchId: Optional branch identifier to continue a specific branch\n \n Returns:\n Dictionary with the latest state of the thought chain\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_continue_thought_chainArguments', 'required': ['sessionId'], 'properties': {'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}] |
@chroma-core/chroma-mcp | Chroma MCP Server | Integrate vector database capabilities into your LLM applications. Effortlessly manage collections, perform semantic searches, and retrieve data with advanced filtering. Enhance your AI models with powerful data retrieval features for improved context and performance. | 2025-03-14T16:01:14.283Z | 0 | https://smithery.ai/server/@chroma-core/chroma-mcp | true | null | {
"scanPassed": true
} | [{'name': 'chroma_list_collections', 'description': 'List all collection names in the Chroma database with pagination support.\n \n Args:\n limit: Optional maximum number of collections to return\n offset: Optional number of collections to skip before returning results\n \n Returns:\n List of collection names\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_list_collectionsArguments', 'properties': {'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}}}}, {'name': 'chroma_create_collection', 'description': "Create a new Chroma collection with configurable HNSW parameters.\n \n Args:\n collection_name: Name of the collection to create\n hnsw_space: Distance function used in HNSW index. Options: 'l2', 'ip', 'cosine'\n hnsw_construction_ef: Size of the dynamic candidate list for constructing the HNSW graph\n hnsw_search_ef: Size of the dynamic candidate list for searching the HNSW graph\n hnsw_M: Number of bi-directional links created for every new element\n hnsw_num_threads: Number of threads to use during HNSW construction\n hnsw_resize_factor: Factor to resize the index by when it's full\n hnsw_batch_size: Number of elements to batch together during index construction\n hnsw_sync_threshold: Number of elements to process before syncing index to disk\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_create_collectionArguments', 'required': ['collection_name'], 'properties': {'hnsw_M': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw M', 'default': None}, 'hnsw_space': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Hnsw Space', 'default': None}, 'hnsw_search_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Search Ef', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}, 'hnsw_batch_size': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Batch Size', 'default': None}, 'hnsw_num_threads': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Num Threads', 'default': None}, 'hnsw_resize_factor': {'anyOf': [{'type': 'number'}, {'type': 'null'}], 'title': 'Hnsw Resize Factor', 'default': None}, 'hnsw_sync_threshold': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Sync Threshold', 'default': None}, 'hnsw_construction_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Construction Ef', 'default': None}}}}, {'name': 'chroma_peek_collection', 'description': 'Peek at documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to peek into\n limit: Number of documents to peek at\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_peek_collectionArguments', 'required': ['collection_name'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 5}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_info', 'description': 'Get information about a Chroma collection.\n \n Args:\n collection_name: Name of the collection to get info about\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_infoArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_count', 'description': 'Get the number of documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to count\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_countArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_modify_collection', 'description': "Modify a Chroma collection's name or metadata.\n \n Args:\n collection_name: Name of the collection to modify\n new_name: Optional new name for the collection\n new_metadata: Optional new metadata for the collection\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_modify_collectionArguments', 'required': ['collection_name'], 'properties': {'new_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'New Name', 'default': None}, 'new_metadata': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'New Metadata', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_delete_collection', 'description': 'Delete a Chroma collection.\n \n Args:\n collection_name: Name of the collection to delete\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_delete_collectionArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_add_documents', 'description': 'Add documents to a Chroma collection.\n \n Args:\n collection_name: Name of the collection to add documents to\n documents: List of text documents to add\n metadatas: Optional list of metadata dictionaries for each document\n ids: Optional list of IDs for the documents\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_add_documentsArguments', 'required': ['collection_name', 'documents'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'documents': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Documents'}, 'metadatas': {'anyOf': [{'type': 'array', 'items': {'type': 'object'}}, {'type': 'null'}], 'title': 'Metadatas', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_query_documents', 'description': 'Query documents from a Chroma collection with advanced filtering.\n \n Args:\n collection_name: Name of the collection to query\n query_texts: List of query texts to search for\n n_results: Number of results to return per query\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas", "distances"]\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_query_documentsArguments', 'required': ['collection_name', 'query_texts'], 'properties': {'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'n_results': {'type': 'integer', 'title': 'N Results', 'default': 5}, 'query_texts': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Query Texts'}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_documents', 'description': 'Get documents from a Chroma collection with optional filtering.\n \n Args:\n collection_name: Name of the collection to get documents from\n ids: Optional list of document IDs to retrieve\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas"]\n limit: Optional maximum number of documents to return\n offset: Optional number of documents to skip before returning results\n \n Returns:\n Dictionary containing the matching documents, their IDs, and requested includes\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_documentsArguments', 'required': ['collection_name'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_sequential_thinking', 'description': 'A detailed tool for dynamic and reflective problem-solving through thoughts.\n \n This tool helps analyze problems through a flexible thinking process that can adapt and evolve.\n Each thought can build on, question, or revise previous insights as understanding deepens.\n \n Args:\n thought: Do not store code in the thought. It is your current thinking step, which can include:\n * Regular analytical steps\n * Revisions of previous thoughts\n * Questions about previous decisions\n * Realizations about needing more analysis\n * Changes in approach\n * Hypothesis generation\n * Hypothesis verification\n Do not make thoughts superfluous. Do not store code in the thought. \n thoughtNumber: Current thought number\n * The current number in sequence (can go beyond initial total if needed)\n totalThoughts: Estimated total thoughts needed\n * Current estimate of thoughts needed (can be adjusted up/down)\n sessionId: Identifier for the thinking session. Provide if this is not the first thought in the session.\n * A unique identifier for the current thinking session\n nextThoughtNeeded: Whether another thought step is needed\n * True if you need more thinking, even if at what seemed like the end\n isRevision: Whether this revises previous thinking\n * A boolean indicating if this thought revises previous thinking\n revisesThought: Which thought is being reconsidered\n * If isRevision is true, which thought number is being reconsidered\n branchFromThought: Branching point thought number\n * If branching, which thought number is the branching point\n branchId: Branch identifier\n * Identifier for the current branch (if any)\n needsMoreThoughts: If more thoughts are needed\n * If reaching end but realizing more thoughts needed\n sessionSummary: A summary of the current session. Provide when nextThoughtNeeded is false.\n keyThoughts: A list of key thought numbers from the current session. Provide when nextThoughtNeeded is false.\n persist: Whether to persist thoughts in the Chroma database\n \n You should:\n 1. Start with an initial estimate of needed thoughts, but be ready to adjust\n 2. Feel free to question or revise previous thoughts\n 3. Don\'t hesitate to add more thoughts if needed, even at the "end"\n 4. Express uncertainty when present\n 5. Mark thoughts that revise previous thinking or branch into new paths\n 6. Ignore information that is irrelevant to the current step\n 7. Generate a solution hypothesis when appropriate\n 8. Verify the hypothesis based on the Chain of Thought steps\n 9. Repeat the process until satisfied with the solution\n 10. Provide a single, ideally correct answer as the final output\n 11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached`,\n \n Returns:\n Dictionary with thought metadata\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_sequential_thinkingArguments', 'required': ['thought', 'thoughtNumber', 'totalThoughts', 'nextThoughtNeeded'], 'properties': {'persist': {'type': 'boolean', 'title': 'Persist', 'default': True}, 'thought': {'type': 'string', 'title': 'Thought'}, 'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionid', 'default': None}, 'isRevision': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Isrevision', 'default': None}, 'keyThoughts': {'anyOf': [{'type': 'array', 'items': {'type': 'integer'}}, {'type': 'null'}], 'title': 'Keythoughts', 'default': None}, 'thoughtNumber': {'type': 'integer', 'title': 'Thoughtnumber'}, 'totalThoughts': {'type': 'integer', 'title': 'Totalthoughts'}, 'revisesThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Revisesthought', 'default': None}, 'sessionSummary': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionsummary', 'default': None}, 'branchFromThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Branchfromthought', 'default': None}, 'needsMoreThoughts': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Needsmorethoughts', 'default': None}, 'nextThoughtNeeded': {'type': 'boolean', 'title': 'Nextthoughtneeded'}}}}, {'name': 'chroma_get_similar_sessions', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n text: The text to search for\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_similar_sessionsArguments', 'required': ['text'], 'properties': {'text': {'type': 'string', 'title': 'Text'}}}}, {'name': 'chroma_get_thought_history', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_historyArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_get_thought_branches', 'description': 'Get all branches for a specific thinking session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with branch information\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_branchesArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_continue_thought_chain', 'description': 'Get the latest state of a thought chain to continue it.\n \n Args:\n sessionId: The session identifier\n branchId: Optional branch identifier to continue a specific branch\n \n Returns:\n Dictionary with the latest state of the thought chain\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_continue_thought_chainArguments', 'required': ['sessionId'], 'properties': {'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}] |
@chroma-core/chroma-mcp | Chroma MCP Server | Integrate vector database capabilities into your LLM applications. Effortlessly manage collections, perform semantic searches, and retrieve data with advanced filtering. Enhance your AI models with powerful data retrieval features for improved context and performance. | 2025-03-14T16:01:14.283Z | 0 | https://smithery.ai/server/@chroma-core/chroma-mcp | true | null | {
"scanPassed": true
} | [{'name': 'chroma_list_collections', 'description': 'List all collection names in the Chroma database with pagination support.\n \n Args:\n limit: Optional maximum number of collections to return\n offset: Optional number of collections to skip before returning results\n \n Returns:\n List of collection names\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_list_collectionsArguments', 'properties': {'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}}}}, {'name': 'chroma_create_collection', 'description': "Create a new Chroma collection with configurable HNSW parameters.\n \n Args:\n collection_name: Name of the collection to create\n hnsw_space: Distance function used in HNSW index. Options: 'l2', 'ip', 'cosine'\n hnsw_construction_ef: Size of the dynamic candidate list for constructing the HNSW graph\n hnsw_search_ef: Size of the dynamic candidate list for searching the HNSW graph\n hnsw_M: Number of bi-directional links created for every new element\n hnsw_num_threads: Number of threads to use during HNSW construction\n hnsw_resize_factor: Factor to resize the index by when it's full\n hnsw_batch_size: Number of elements to batch together during index construction\n hnsw_sync_threshold: Number of elements to process before syncing index to disk\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_create_collectionArguments', 'required': ['collection_name'], 'properties': {'hnsw_M': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw M', 'default': None}, 'hnsw_space': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Hnsw Space', 'default': None}, 'hnsw_search_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Search Ef', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}, 'hnsw_batch_size': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Batch Size', 'default': None}, 'hnsw_num_threads': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Num Threads', 'default': None}, 'hnsw_resize_factor': {'anyOf': [{'type': 'number'}, {'type': 'null'}], 'title': 'Hnsw Resize Factor', 'default': None}, 'hnsw_sync_threshold': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Sync Threshold', 'default': None}, 'hnsw_construction_ef': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Hnsw Construction Ef', 'default': None}}}}, {'name': 'chroma_peek_collection', 'description': 'Peek at documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to peek into\n limit: Number of documents to peek at\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_peek_collectionArguments', 'required': ['collection_name'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 5}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_info', 'description': 'Get information about a Chroma collection.\n \n Args:\n collection_name: Name of the collection to get info about\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_infoArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_collection_count', 'description': 'Get the number of documents in a Chroma collection.\n \n Args:\n collection_name: Name of the collection to count\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_collection_countArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_modify_collection', 'description': "Modify a Chroma collection's name or metadata.\n \n Args:\n collection_name: Name of the collection to modify\n new_name: Optional new name for the collection\n new_metadata: Optional new metadata for the collection\n ", 'inputSchema': {'type': 'object', 'title': 'chroma_modify_collectionArguments', 'required': ['collection_name'], 'properties': {'new_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'New Name', 'default': None}, 'new_metadata': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'New Metadata', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_delete_collection', 'description': 'Delete a Chroma collection.\n \n Args:\n collection_name: Name of the collection to delete\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_delete_collectionArguments', 'required': ['collection_name'], 'properties': {'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_add_documents', 'description': 'Add documents to a Chroma collection.\n \n Args:\n collection_name: Name of the collection to add documents to\n documents: List of text documents to add\n metadatas: Optional list of metadata dictionaries for each document\n ids: Optional list of IDs for the documents\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_add_documentsArguments', 'required': ['collection_name', 'documents'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'documents': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Documents'}, 'metadatas': {'anyOf': [{'type': 'array', 'items': {'type': 'object'}}, {'type': 'null'}], 'title': 'Metadatas', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_query_documents', 'description': 'Query documents from a Chroma collection with advanced filtering.\n \n Args:\n collection_name: Name of the collection to query\n query_texts: List of query texts to search for\n n_results: Number of results to return per query\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas", "distances"]\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_query_documentsArguments', 'required': ['collection_name', 'query_texts'], 'properties': {'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'n_results': {'type': 'integer', 'title': 'N Results', 'default': 5}, 'query_texts': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Query Texts'}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_get_documents', 'description': 'Get documents from a Chroma collection with optional filtering.\n \n Args:\n collection_name: Name of the collection to get documents from\n ids: Optional list of document IDs to retrieve\n where: Optional metadata filters using Chroma\'s query operators\n Examples:\n - Simple equality: {"metadata_field": "value"}\n - Comparison: {"metadata_field": {"$gt": 5}}\n - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}\n - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}\n where_document: Optional document content filters\n include: Optional list of what to include in response. Can contain any of:\n ["documents", "embeddings", "metadatas"]\n limit: Optional maximum number of documents to return\n offset: Optional number of documents to skip before returning results\n \n Returns:\n Dictionary containing the matching documents, their IDs, and requested includes\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_documentsArguments', 'required': ['collection_name'], 'properties': {'ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Ids', 'default': None}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': None}, 'where': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where', 'default': None}, 'offset': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Offset', 'default': None}, 'include': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Include', 'default': None}, 'where_document': {'anyOf': [{'type': 'object'}, {'type': 'null'}], 'title': 'Where Document', 'default': None}, 'collection_name': {'type': 'string', 'title': 'Collection Name'}}}}, {'name': 'chroma_sequential_thinking', 'description': 'A detailed tool for dynamic and reflective problem-solving through thoughts.\n \n This tool helps analyze problems through a flexible thinking process that can adapt and evolve.\n Each thought can build on, question, or revise previous insights as understanding deepens.\n \n Args:\n thought: Do not store code in the thought. It is your current thinking step, which can include:\n * Regular analytical steps\n * Revisions of previous thoughts\n * Questions about previous decisions\n * Realizations about needing more analysis\n * Changes in approach\n * Hypothesis generation\n * Hypothesis verification\n Do not make thoughts superfluous. Do not store code in the thought. \n thoughtNumber: Current thought number\n * The current number in sequence (can go beyond initial total if needed)\n totalThoughts: Estimated total thoughts needed\n * Current estimate of thoughts needed (can be adjusted up/down)\n sessionId: Identifier for the thinking session. Provide if this is not the first thought in the session.\n * A unique identifier for the current thinking session\n nextThoughtNeeded: Whether another thought step is needed\n * True if you need more thinking, even if at what seemed like the end\n isRevision: Whether this revises previous thinking\n * A boolean indicating if this thought revises previous thinking\n revisesThought: Which thought is being reconsidered\n * If isRevision is true, which thought number is being reconsidered\n branchFromThought: Branching point thought number\n * If branching, which thought number is the branching point\n branchId: Branch identifier\n * Identifier for the current branch (if any)\n needsMoreThoughts: If more thoughts are needed\n * If reaching end but realizing more thoughts needed\n sessionSummary: A summary of the current session. Provide when nextThoughtNeeded is false.\n keyThoughts: A list of key thought numbers from the current session. Provide when nextThoughtNeeded is false.\n persist: Whether to persist thoughts in the Chroma database\n \n You should:\n 1. Start with an initial estimate of needed thoughts, but be ready to adjust\n 2. Feel free to question or revise previous thoughts\n 3. Don\'t hesitate to add more thoughts if needed, even at the "end"\n 4. Express uncertainty when present\n 5. Mark thoughts that revise previous thinking or branch into new paths\n 6. Ignore information that is irrelevant to the current step\n 7. Generate a solution hypothesis when appropriate\n 8. Verify the hypothesis based on the Chain of Thought steps\n 9. Repeat the process until satisfied with the solution\n 10. Provide a single, ideally correct answer as the final output\n 11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached`,\n \n Returns:\n Dictionary with thought metadata\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_sequential_thinkingArguments', 'required': ['thought', 'thoughtNumber', 'totalThoughts', 'nextThoughtNeeded'], 'properties': {'persist': {'type': 'boolean', 'title': 'Persist', 'default': True}, 'thought': {'type': 'string', 'title': 'Thought'}, 'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionid', 'default': None}, 'isRevision': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Isrevision', 'default': None}, 'keyThoughts': {'anyOf': [{'type': 'array', 'items': {'type': 'integer'}}, {'type': 'null'}], 'title': 'Keythoughts', 'default': None}, 'thoughtNumber': {'type': 'integer', 'title': 'Thoughtnumber'}, 'totalThoughts': {'type': 'integer', 'title': 'Totalthoughts'}, 'revisesThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Revisesthought', 'default': None}, 'sessionSummary': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Sessionsummary', 'default': None}, 'branchFromThought': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Branchfromthought', 'default': None}, 'needsMoreThoughts': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Needsmorethoughts', 'default': None}, 'nextThoughtNeeded': {'type': 'boolean', 'title': 'Nextthoughtneeded'}}}}, {'name': 'chroma_get_similar_sessions', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n text: The text to search for\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_similar_sessionsArguments', 'required': ['text'], 'properties': {'text': {'type': 'string', 'title': 'Text'}}}}, {'name': 'chroma_get_thought_history', 'description': 'Retrieve the thought history for a specific session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with the thought history\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_historyArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_get_thought_branches', 'description': 'Get all branches for a specific thinking session.\n \n Args:\n sessionId: The session identifier\n \n Returns:\n Dictionary with branch information\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_get_thought_branchesArguments', 'required': ['sessionId'], 'properties': {'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}, {'name': 'chroma_continue_thought_chain', 'description': 'Get the latest state of a thought chain to continue it.\n \n Args:\n sessionId: The session identifier\n branchId: Optional branch identifier to continue a specific branch\n \n Returns:\n Dictionary with the latest state of the thought chain\n ', 'inputSchema': {'type': 'object', 'title': 'chroma_continue_thought_chainArguments', 'required': ['sessionId'], 'properties': {'branchId': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Branchid', 'default': None}, 'sessionId': {'type': 'string', 'title': 'Sessionid'}}}}] |
@noobnooc/webhook-mcp | Webhook MCP Server | Enable seamless integration of webhook-based services with LLM applications by exposing tools and resources via the Model Context Protocol. Simplify connecting external webhooks to your AI workflows for dynamic data and action handling. Deploy easily with Cloudflare Workers for scalable and efficient operation. | 2025-04-24T13:43:28.095Z | 0 | https://smithery.ai/server/@noobnooc/webhook-mcp | true | null | {
"scanPassed": true
} | [{'name': 'call-webhook', 'description': 'Call a webhook with optional `message` and `url` parameters', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'url': {'anyOf': [{'type': 'string', 'format': 'uri'}, {'anyOf': [{'not': {}}, {'type': 'string'}]}, {'type': 'null'}]}, 'message': {'anyOf': [{'anyOf': [{'not': {}}, {'type': 'string'}]}, {'type': 'null'}]}}, 'additionalProperties': False}}] |
@rafaljanicki/goatcounter-mcp-server | GoatCounter MCP Server | Provide web analytics data through a Model Context Protocol server, enabling LLMs to query and analyze website traffic metrics seamlessly. Facilitate integration of real-time analytics into AI workflows for enhanced decision-making. Simplify access to visitor statistics and trends via standardized MCP methods. | 2025-05-03T07:07:50.783Z | 0 | https://smithery.ai/server/@rafaljanicki/goatcounter-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'get_me', 'description': 'Get information about the current Goatcounter user and API key.', 'inputSchema': {'type': 'object', 'title': 'get_meArguments', 'properties': {}}}, {'name': 'list_sites', 'description': 'List all Goatcounter sites accessible with the current API key.', 'inputSchema': {'type': 'object', 'title': 'list_sitesArguments', 'properties': {}}}, {'name': 'list_paths', 'description': 'Get an overview of paths on this site (without statistics).', 'inputSchema': {'type': 'object', '$defs': {'ListPathsParams': {'type': 'object', 'title': 'ListPathsParams', 'properties': {'after': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'After', 'default': None, 'description': 'Only select paths after this ID, for pagination.'}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': 20, 'description': 'Limit number of returned results (1-200, default 20).'}}}}, 'title': 'list_pathsArguments', 'required': ['params'], 'properties': {'params': {'$ref': '#/$defs/ListPathsParams'}}}}, {'name': 'get_stats_total', 'description': 'Get total number of pageviews and visitors for the site.', 'inputSchema': {'type': 'object', '$defs': {'StatsParams': {'type': 'object', 'title': 'StatsParams', 'properties': {'end': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'End', 'default': None, 'description': "End date (YYYY-MM-DD or relative e.g., 'yesterday')."}, 'daily': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Daily', 'default': False, 'description': 'Show daily statistics instead of totals.'}, 'start': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Start', 'default': None, 'description': "Start date (YYYY-MM-DD or relative e.g., '7 days ago')."}, 'filter': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Filter', 'default': None, 'description': "Filter paths (e.g., '/blog*')."}}}}, 'title': 'get_stats_totalArguments', 'required': ['params'], 'properties': {'params': {'$ref': '#/$defs/StatsParams'}}}}, {'name': 'get_stats_hits', 'description': 'List page statistics (pageviews and visitors per path).', 'inputSchema': {'type': 'object', '$defs': {'PaginatedStatsParams': {'type': 'object', 'title': 'PaginatedStatsParams', 'properties': {'end': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'End', 'default': None, 'description': "End date (YYYY-MM-DD or relative e.g., 'yesterday')."}, 'after': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'After', 'default': None, 'description': 'Pagination cursor (specific meaning depends on endpoint).'}, 'daily': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Daily', 'default': False, 'description': 'Show daily statistics instead of totals.'}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': 20, 'description': 'Limit number of returned results (1-200, default 20).'}, 'start': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Start', 'default': None, 'description': "Start date (YYYY-MM-DD or relative e.g., '7 days ago')."}, 'filter': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Filter', 'default': None, 'description': "Filter paths (e.g., '/blog*')."}}}}, 'title': 'get_stats_hitsArguments', 'required': ['params'], 'properties': {'params': {'$ref': '#/$defs/PaginatedStatsParams'}}}}, {'name': 'get_stats_refs', 'description': 'List referrer statistics.', 'inputSchema': {'type': 'object', '$defs': {'PaginatedStatsParams': {'type': 'object', 'title': 'PaginatedStatsParams', 'properties': {'end': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'End', 'default': None, 'description': "End date (YYYY-MM-DD or relative e.g., 'yesterday')."}, 'after': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'After', 'default': None, 'description': 'Pagination cursor (specific meaning depends on endpoint).'}, 'daily': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Daily', 'default': False, 'description': 'Show daily statistics instead of totals.'}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': 20, 'description': 'Limit number of returned results (1-200, default 20).'}, 'start': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Start', 'default': None, 'description': "Start date (YYYY-MM-DD or relative e.g., '7 days ago')."}, 'filter': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Filter', 'default': None, 'description': "Filter paths (e.g., '/blog*')."}}}}, 'title': 'get_stats_refsArguments', 'required': ['params'], 'properties': {'params': {'$ref': '#/$defs/PaginatedStatsParams'}}}}, {'name': 'get_stats_browsers', 'description': 'List browser statistics.', 'inputSchema': {'type': 'object', '$defs': {'PaginatedStatsParams': {'type': 'object', 'title': 'PaginatedStatsParams', 'properties': {'end': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'End', 'default': None, 'description': "End date (YYYY-MM-DD or relative e.g., 'yesterday')."}, 'after': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'After', 'default': None, 'description': 'Pagination cursor (specific meaning depends on endpoint).'}, 'daily': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Daily', 'default': False, 'description': 'Show daily statistics instead of totals.'}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': 20, 'description': 'Limit number of returned results (1-200, default 20).'}, 'start': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Start', 'default': None, 'description': "Start date (YYYY-MM-DD or relative e.g., '7 days ago')."}, 'filter': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Filter', 'default': None, 'description': "Filter paths (e.g., '/blog*')."}}}}, 'title': 'get_stats_browsersArguments', 'required': ['params'], 'properties': {'params': {'$ref': '#/$defs/PaginatedStatsParams'}}}}, {'name': 'get_stats_systems', 'description': 'List operating system statistics.', 'inputSchema': {'type': 'object', '$defs': {'PaginatedStatsParams': {'type': 'object', 'title': 'PaginatedStatsParams', 'properties': {'end': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'End', 'default': None, 'description': "End date (YYYY-MM-DD or relative e.g., 'yesterday')."}, 'after': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'After', 'default': None, 'description': 'Pagination cursor (specific meaning depends on endpoint).'}, 'daily': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Daily', 'default': False, 'description': 'Show daily statistics instead of totals.'}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': 20, 'description': 'Limit number of returned results (1-200, default 20).'}, 'start': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Start', 'default': None, 'description': "Start date (YYYY-MM-DD or relative e.g., '7 days ago')."}, 'filter': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Filter', 'default': None, 'description': "Filter paths (e.g., '/blog*')."}}}}, 'title': 'get_stats_systemsArguments', 'required': ['params'], 'properties': {'params': {'$ref': '#/$defs/PaginatedStatsParams'}}}}, {'name': 'get_stats_sizes', 'description': 'List screen size statistics.', 'inputSchema': {'type': 'object', '$defs': {'PaginatedStatsParams': {'type': 'object', 'title': 'PaginatedStatsParams', 'properties': {'end': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'End', 'default': None, 'description': "End date (YYYY-MM-DD or relative e.g., 'yesterday')."}, 'after': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'After', 'default': None, 'description': 'Pagination cursor (specific meaning depends on endpoint).'}, 'daily': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Daily', 'default': False, 'description': 'Show daily statistics instead of totals.'}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': 20, 'description': 'Limit number of returned results (1-200, default 20).'}, 'start': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Start', 'default': None, 'description': "Start date (YYYY-MM-DD or relative e.g., '7 days ago')."}, 'filter': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Filter', 'default': None, 'description': "Filter paths (e.g., '/blog*')."}}}}, 'title': 'get_stats_sizesArguments', 'required': ['params'], 'properties': {'params': {'$ref': '#/$defs/PaginatedStatsParams'}}}}, {'name': 'get_stats_locations', 'description': 'List location statistics.', 'inputSchema': {'type': 'object', '$defs': {'PaginatedStatsParams': {'type': 'object', 'title': 'PaginatedStatsParams', 'properties': {'end': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'End', 'default': None, 'description': "End date (YYYY-MM-DD or relative e.g., 'yesterday')."}, 'after': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'After', 'default': None, 'description': 'Pagination cursor (specific meaning depends on endpoint).'}, 'daily': {'anyOf': [{'type': 'boolean'}, {'type': 'null'}], 'title': 'Daily', 'default': False, 'description': 'Show daily statistics instead of totals.'}, 'limit': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Limit', 'default': 20, 'description': 'Limit number of returned results (1-200, default 20).'}, 'start': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Start', 'default': None, 'description': "Start date (YYYY-MM-DD or relative e.g., '7 days ago')."}, 'filter': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Filter', 'default': None, 'description': "Filter paths (e.g., '/blog*')."}}}}, 'title': 'get_stats_locationsArguments', 'required': ['params'], 'properties': {'params': {'$ref': '#/$defs/PaginatedStatsParams'}}}}] |
@jaipandya/producthunt-mcp-server | Product Hunt Server | Connect to Product Hunt's API seamlessly from any LLM or agent supporting MCP. Retrieve detailed posts, comments, collections, topics, and user data to power AI assistants, chatbots, or automations. Easily integrate with clients like Claude Desktop or Cursor for enhanced AI workflows. | 2025-04-21T07:00:51.099Z | 0 | https://smithery.ai/server/@jaipandya/producthunt-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'check_server_status', 'description': '\n Check the status of the Product Hunt MCP server and authentication.\n\n Returns:\n - status (str): "Ready", "Not initialized", "Token invalid", or "Error".\n - authenticated (bool, optional): True if authenticated, False otherwise.\n - user (dict, optional): User details if authenticated.\n - rate_limits (dict, optional): API rate limit information.\n - message (str, optional): Additional status or error message.\n ', 'inputSchema': {'type': 'object', 'title': 'check_server_statusArguments', 'properties': {}}}, {'name': 'get_post_details', 'description': '\n Retrieve detailed information about a specific Product Hunt post by ID or slug.\n\n Parameters:\n - id (str, optional): The post\'s unique ID.\n - slug (str, optional): The post\'s slug (e.g., "product-hunt-api").\n - comments_count (int, optional): Number of comments to return (default: 10, max: 20).\n - comments_after (str, optional): Pagination cursor for fetching the next page of comments.\n\n At least one of `id` or `slug` must be provided.\n\n Returns:\n - success (bool): Whether the request was successful.\n - data (dict): If successful, contains:\n - id, name, description, tagline, votes, makers, topics, media, and\n - comments (paginated): { edges: [...], pageInfo: { endCursor, hasNextPage } }\n - error (dict, optional): If unsuccessful, contains error code and message.\n - rate_limits (dict): API rate limit information.\n\n Notes:\n - If neither `id` nor `slug` is provided, an error is returned.\n - If the post is not found, an error is returned.\n - The dedicated `get_post_comments` tool is deprecated; use this tool for paginated comments.\n ', 'inputSchema': {'type': 'object', 'title': 'get_post_detailsArguments', 'properties': {'id': {'type': 'string', 'title': 'Id', 'default': None}, 'slug': {'type': 'string', 'title': 'Slug', 'default': None}, 'comments_after': {'type': 'string', 'title': 'Comments After', 'default': None}, 'comments_count': {'type': 'integer', 'title': 'Comments Count', 'default': 10}}}}, {'name': 'get_posts', 'description': '\n Retrieve a list of Product Hunt posts with various filtering and sorting options.\n\n Parameters:\n - featured (bool, optional): Only return featured posts if True.\n - topic (str, optional): Filter by topic slug.\n - order (str, optional): Sorting order. Valid values: RANKING (default), NEWEST, VOTES, FEATURED_AT.\n - count (int, optional): Number of posts to return (default: 10, max: 20).\n - after (str, optional): Pagination cursor for next page.\n - url (str, optional): Filter posts by URL.\n - twitter_url (str, optional): Filter posts by Twitter URL.\n - posted_before (str, optional): ISO datetime to filter posts posted before this date.\n - posted_after (str, optional): ISO datetime to filter posts posted after this date.\n\n Returns:\n - success (bool)\n - data (dict): If successful, contains:\n - posts (list): List of post objects (id, name, description, etc.)\n - pagination (dict): { end_cursor, has_next_page }\n - error (dict, optional)\n - rate_limits (dict)\n\n Notes:\n - This is not a keyword search; use filters to narrow results.\n - If no posts match, `posts` will be an empty list.\n - Invalid date formats return a user-friendly error.\n ', 'inputSchema': {'type': 'object', 'title': 'get_postsArguments', 'properties': {'url': {'type': 'string', 'title': 'Url', 'default': None}, 'after': {'type': 'string', 'title': 'After', 'default': None}, 'count': {'type': 'integer', 'title': 'Count', 'default': 10}, 'order': {'type': 'string', 'title': 'Order', 'default': 'RANKING'}, 'topic': {'type': 'string', 'title': 'Topic', 'default': None}, 'featured': {'type': 'boolean', 'title': 'Featured', 'default': None}, 'twitter_url': {'type': 'string', 'title': 'Twitter Url', 'default': None}, 'posted_after': {'type': 'string', 'title': 'Posted After', 'default': None}, 'posted_before': {'type': 'string', 'title': 'Posted Before', 'default': None}}}}, {'name': 'get_comment', 'description': "\n Retrieve detailed information about a specific comment by ID.\n\n Parameters:\n - id (str, required): The comment's unique ID.\n\n Returns:\n - success (bool)\n - data (dict): If successful, contains comment details:\n - id, content, created_at, user, post, etc.\n - error (dict, optional)\n - rate_limits (dict)\n\n Notes:\n - Returns an error if the comment is not found.\n ", 'inputSchema': {'type': 'object', 'title': 'get_commentArguments', 'properties': {'id': {'type': 'string', 'title': 'Id', 'default': None}}}}, {'name': 'get_post_comments', 'description': "\n Retrieve comments for a specific post by post ID or slug, with optional sorting and pagination.\n\n Parameters:\n - post_id (str, optional): The post's unique ID.\n - slug (str, optional): The post's slug.\n - order (str, optional): Sorting order. Valid values: NEWEST (default), OLDEST, VOTES.\n - count (int, optional): Number of comments to return (default: 10, max: 20).\n - after (str, optional): Pagination cursor for next page.\n\n Returns:\n - success (bool)\n - data (dict): If successful, contains:\n - comments (list): List of comment objects (id, content, etc.)\n - pagination (dict): { end_cursor, has_next_page }\n - error (dict, optional)\n - rate_limits (dict)\n\n Notes:\n - Returns an error if the post is not found.\n ", 'inputSchema': {'type': 'object', 'title': 'get_post_commentsArguments', 'properties': {'slug': {'type': 'string', 'title': 'Slug', 'default': None}, 'after': {'type': 'string', 'title': 'After', 'default': None}, 'count': {'type': 'integer', 'title': 'Count', 'default': None}, 'order': {'type': 'string', 'title': 'Order', 'default': None}, 'post_id': {'type': 'string', 'title': 'Post Id', 'default': None}}}}, {'name': 'get_collection', 'description': '\n Retrieve detailed information about a specific collection by ID or slug.\n\n Parameters:\n - id (str, optional): The collection\'s unique ID.\n - slug (str, optional): The collection\'s slug (e.g., "best-productivity-apps").\n\n At least one of `id` or `slug` must be provided.\n\n Returns:\n - success (bool)\n - data (dict): If successful, contains collection details:\n - id, name, description, follower_count, posts, etc.\n - error (dict, optional)\n - rate_limits (dict)\n\n Notes:\n - Returns an error if neither `id` nor `slug` is provided, or if the collection is not found.\n ', 'inputSchema': {'type': 'object', 'title': 'get_collectionArguments', 'properties': {'id': {'type': 'string', 'title': 'Id', 'default': None}, 'slug': {'type': 'string', 'title': 'Slug', 'default': None}}}}, {'name': 'get_collections', 'description': '\n Retrieve a list of collections with optional filters.\n\n Parameters:\n - featured (bool, optional): Only return featured collections if True.\n - user_id (str, optional): Filter to collections created by this user ID.\n - post_id (str, optional): Filter to collections that include this post ID.\n - order (str, optional): Sorting order. Valid values: FOLLOWERS_COUNT (default), NEWEST.\n - count (int, optional): Number of collections to return (default: 10, max: 20).\n - after (str, optional): Pagination cursor for next page.\n\n Returns:\n - success (bool)\n - data (dict): If successful, contains:\n - collections (list): List of collection objects (id, name, etc.)\n - pagination (dict): { end_cursor, has_next_page }\n - error (dict, optional)\n - rate_limits (dict)\n\n Notes:\n - If no collections match, `collections` will be an empty list.\n ', 'inputSchema': {'type': 'object', 'title': 'get_collectionsArguments', 'properties': {'after': {'type': 'string', 'title': 'After', 'default': None}, 'count': {'type': 'integer', 'title': 'Count', 'default': 10}, 'order': {'type': 'string', 'title': 'Order', 'default': 'FOLLOWERS_COUNT'}, 'post_id': {'type': 'string', 'title': 'Post Id', 'default': None}, 'user_id': {'type': 'string', 'title': 'User Id', 'default': None}, 'featured': {'type': 'boolean', 'title': 'Featured', 'default': None}}}}, {'name': 'get_topic', 'description': '\n Retrieve detailed information about a specific topic by ID or slug.\n\n Parameters:\n - id (str, optional): The topic\'s unique ID.\n - slug (str, optional): The topic\'s slug (e.g., "artificial-intelligence").\n\n At least one of `id` or `slug` must be provided.\n\n Returns:\n - success (bool)\n - data (dict): If successful, contains topic details:\n - id, name, description, follower_count, posts, etc.\n - error (dict, optional)\n - rate_limits (dict)\n\n Notes:\n - Returns an error if neither `id` nor `slug` is provided, or if the topic is not found.\n ', 'inputSchema': {'type': 'object', 'title': 'get_topicArguments', 'properties': {'id': {'type': 'string', 'title': 'Id', 'default': None}, 'slug': {'type': 'string', 'title': 'Slug', 'default': None}}}}, {'name': 'search_topics', 'description': '\n Search for topics by name or filter by user following, with optional sorting and pagination.\n\n Parameters:\n - query (str, optional): Search term to find topics by name.\n - followed_by_user_id (str, optional): Only topics followed by this user ID.\n - order (str, optional): Sorting order. Valid values: FOLLOWERS_COUNT (default), NAME, NEWEST.\n - count (int, optional): Number of topics to return (default: 10, max: 20).\n - after (str, optional): Pagination cursor for next page.\n\n Returns:\n - success (bool)\n - data (dict): If successful, contains:\n - topics (list): List of topic objects (id, name, etc.)\n - pagination (dict): { end_cursor, has_next_page }\n - error (dict, optional)\n - rate_limits (dict)\n\n Notes:\n - If no topics match, `topics` will be an empty list.\n ', 'inputSchema': {'type': 'object', 'title': 'search_topicsArguments', 'properties': {'after': {'type': 'string', 'title': 'After', 'default': None}, 'count': {'type': 'integer', 'title': 'Count', 'default': 10}, 'order': {'type': 'string', 'title': 'Order', 'default': 'FOLLOWERS_COUNT'}, 'query': {'type': 'string', 'title': 'Query', 'default': None}, 'followed_by_user_id': {'type': 'string', 'title': 'Followed By User Id', 'default': None}}}}, {'name': 'get_user', 'description': "\n Retrieve user information by ID or username, with optional retrieval of their posts.\n\n Parameters:\n - id (str, optional): The user's unique ID.\n - username (str, optional): The user's username.\n - posts_type (str, optional): Type of posts to retrieve. Valid values: MADE (default), VOTED.\n - posts_count (int, optional): Number of posts to return (default: 10, max: 20).\n - posts_after (str, optional): Pagination cursor for next page of posts.\n\n At least one of `id` or `username` must be provided.\n\n Returns:\n - success (bool)\n - data (dict): If successful, contains user details and optionally their posts.\n - error (dict, optional)\n - rate_limits (dict)\n\n Notes:\n - Returns an error if neither `id` nor `username` is provided, or if the user is not found.\n ", 'inputSchema': {'type': 'object', 'title': 'get_userArguments', 'properties': {'id': {'type': 'string', 'title': 'Id', 'default': None}, 'username': {'type': 'string', 'title': 'Username', 'default': None}, 'posts_type': {'type': 'string', 'title': 'Posts Type', 'default': None}, 'posts_after': {'type': 'string', 'title': 'Posts After', 'default': None}, 'posts_count': {'type': 'integer', 'title': 'Posts Count', 'default': None}}}}, {'name': 'get_viewer', 'description': '\n Retrieve information about the currently authenticated user.\n\n Parameters:\n - None\n\n Returns:\n - success (bool)\n - data (dict): If successful, contains user details.\n - error (dict, optional)\n - rate_limits (dict)\n\n Notes:\n - Returns an error if the token is invalid or expired.\n ', 'inputSchema': {'type': 'object', 'title': 'get_viewerArguments', 'properties': {}}}] |
@3a3/fujitsu-sdt-mcp | Fujitsu Social Digital Twin Server | Enable natural language interaction with Fujitsu's Social Digital Twin and Digital Rehearsal API to run simulations, analyze results, and manage simulation data. Retrieve simulation lists, start simulations, compare scenarios, and generate simulation configurations from natural language. Simplify complex social and traffic simulations through intuitive LLM-driven commands. | 2025-04-21T05:00:11.492Z | 0 | https://smithery.ai/server/@3a3/fujitsu-sdt-mcp | true | null | null | [{'name': 'list_simulations', 'description': 'Returns a comprehensive list of all traffic simulations in the system, \nincluding their IDs, names, status, and execution timeframes.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'list_simulationsArguments', 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}}}}, {'name': 'start_simulation', 'description': 'Launches a new traffic simulation using the provided simulation dataset configuration, \nreturning the simulation ID and initial status.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'start_simulationArguments', 'required': ['simdata_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simdata_id': {'type': 'string', 'title': 'Simdata Id'}}}}, {'name': 'get_simulation_result', 'description': 'Retrieves the complete results and output files from a finished traffic simulation, \nincluding simulation status and generated result files.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_simulation_resultArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'get_metrics', 'description': 'Retrieves comprehensive metrics and analytics data from a completed simulation, including \ntravel statistics, emissions data, and traffic flow information.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_metricsArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'list_simdata', 'description': 'Returns a complete list of all simulation datasets available in the system, \nwhich can be used as inputs for running new simulations.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'list_simdataArguments', 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}}}}, {'name': 'get_simdata', 'description': 'Retrieves the complete configuration and parameter set for a specific simulation dataset, \nincluding region settings, time ranges, and scenario parameters.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_simdataArguments', 'required': ['simdata_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simdata_id': {'type': 'string', 'title': 'Simdata Id'}}}}, {'name': 'analyze_traffic_simulation', 'description': 'Conducts comprehensive analysis on simulation results, providing insights on traffic patterns, \nbottlenecks, and optimization opportunities for the specified parameters.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'analyze_traffic_simulationArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'region': {'type': 'string', 'title': 'Region', 'default': 'unknown'}, 'scenario': {'type': 'string', 'title': 'Scenario', 'default': 'unknown'}, 'time_range': {'type': 'string', 'title': 'Time Range', 'default': 'unknown'}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'compare_scenarios', 'description': 'Performs detailed comparative analysis between two simulation scenarios, highlighting differences \nin traffic flow, emissions, travel times, and other key metrics.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'compare_scenariosArguments', 'required': ['simulation_id1', 'simulation_id2'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'scenario1_name': {'type': 'string', 'title': 'Scenario1 Name', 'default': 'Scenario 1'}, 'scenario2_name': {'type': 'string', 'title': 'Scenario2 Name', 'default': 'Scenario 2'}, 'simulation_id1': {'type': 'string', 'title': 'Simulation Id1'}, 'simulation_id2': {'type': 'string', 'title': 'Simulation Id2'}}}}, {'name': 'create_natural_language_simulation_config', 'description': 'Converts a natural language description into a structured simulation configuration, \ninterpreting user requirements into technical parameters for traffic simulation.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'create_natural_language_simulation_configArguments', 'required': ['description'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'description': {'type': 'string', 'title': 'Description'}}}}, {'name': 'create_simulation_from_usecase', 'description': '指定されたユースケースとアップロードされたファイルからシミュレーションを作成・実行します。', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'create_simulation_from_usecaseArguments', 'required': ['usecase', 'uploaded_files', 'simulation_params'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'usecase': {'type': 'string', 'title': 'Usecase'}, 'uploaded_files': {'type': 'object', 'title': 'Uploaded Files', 'additionalProperties': {'type': 'string'}}, 'simulation_params': {'type': 'object', 'title': 'Simulation Params', 'additionalProperties': True}}}}] |
@3a3/fujitsu-sdt-mcp | Fujitsu Social Digital Twin Server | Enable natural language interaction with Fujitsu's Social Digital Twin and Digital Rehearsal API to run simulations, analyze results, and manage simulation data. Retrieve simulation lists, start simulations, compare scenarios, and generate simulation configurations from natural language. Simplify complex social and traffic simulations through intuitive LLM-driven commands. | 2025-04-21T05:00:11.492Z | 0 | https://smithery.ai/server/@3a3/fujitsu-sdt-mcp | true | null | null | [{'name': 'list_simulations', 'description': 'Returns a comprehensive list of all traffic simulations in the system, \nincluding their IDs, names, status, and execution timeframes.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'list_simulationsArguments', 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}}}}, {'name': 'start_simulation', 'description': 'Launches a new traffic simulation using the provided simulation dataset configuration, \nreturning the simulation ID and initial status.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'start_simulationArguments', 'required': ['simdata_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simdata_id': {'type': 'string', 'title': 'Simdata Id'}}}}, {'name': 'get_simulation_result', 'description': 'Retrieves the complete results and output files from a finished traffic simulation, \nincluding simulation status and generated result files.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_simulation_resultArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'get_metrics', 'description': 'Retrieves comprehensive metrics and analytics data from a completed simulation, including \ntravel statistics, emissions data, and traffic flow information.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_metricsArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'list_simdata', 'description': 'Returns a complete list of all simulation datasets available in the system, \nwhich can be used as inputs for running new simulations.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'list_simdataArguments', 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}}}}, {'name': 'get_simdata', 'description': 'Retrieves the complete configuration and parameter set for a specific simulation dataset, \nincluding region settings, time ranges, and scenario parameters.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'get_simdataArguments', 'required': ['simdata_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'simdata_id': {'type': 'string', 'title': 'Simdata Id'}}}}, {'name': 'analyze_traffic_simulation', 'description': 'Conducts comprehensive analysis on simulation results, providing insights on traffic patterns, \nbottlenecks, and optimization opportunities for the specified parameters.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'analyze_traffic_simulationArguments', 'required': ['simulation_id'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'region': {'type': 'string', 'title': 'Region', 'default': 'unknown'}, 'scenario': {'type': 'string', 'title': 'Scenario', 'default': 'unknown'}, 'time_range': {'type': 'string', 'title': 'Time Range', 'default': 'unknown'}, 'simulation_id': {'type': 'string', 'title': 'Simulation Id'}}}}, {'name': 'compare_scenarios', 'description': 'Performs detailed comparative analysis between two simulation scenarios, highlighting differences \nin traffic flow, emissions, travel times, and other key metrics.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'compare_scenariosArguments', 'required': ['simulation_id1', 'simulation_id2'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'scenario1_name': {'type': 'string', 'title': 'Scenario1 Name', 'default': 'Scenario 1'}, 'scenario2_name': {'type': 'string', 'title': 'Scenario2 Name', 'default': 'Scenario 2'}, 'simulation_id1': {'type': 'string', 'title': 'Simulation Id1'}, 'simulation_id2': {'type': 'string', 'title': 'Simulation Id2'}}}}, {'name': 'create_natural_language_simulation_config', 'description': 'Converts a natural language description into a structured simulation configuration, \ninterpreting user requirements into technical parameters for traffic simulation.', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'create_natural_language_simulation_configArguments', 'required': ['description'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'description': {'type': 'string', 'title': 'Description'}}}}, {'name': 'create_simulation_from_usecase', 'description': '指定されたユースケースとアップロードされたファイルからシミュレーションを作成・実行します。', 'inputSchema': {'type': 'object', '$defs': {'Context': {'type': 'object', 'title': 'Context', 'properties': {}, 'description': 'Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP\'s RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\[email protected]()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f"Processing {x}")\n ctx.debug("Debug info")\n ctx.warning("Warning message")\n ctx.error("Error message")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource("resource://data")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it\'s annotated with Context.\nThe context is optional - tools that don\'t need it can omit the parameter.'}}, 'title': 'create_simulation_from_usecaseArguments', 'required': ['usecase', 'uploaded_files', 'simulation_params'], 'properties': {'ctx': {'anyOf': [{'$ref': '#/$defs/Context'}, {'type': 'null'}], 'default': None}, 'usecase': {'type': 'string', 'title': 'Usecase'}, 'uploaded_files': {'type': 'object', 'title': 'Uploaded Files', 'additionalProperties': {'type': 'string'}}, 'simulation_params': {'type': 'object', 'title': 'Simulation Params', 'additionalProperties': True}}}}] |
@currents-dev/currents-mcp | Currents Test Results Context Server | Provide AI agents with detailed test results context by connecting them to Currents. Enable your AI to analyze, fix, or optimize failing tests in continuous integration workflows. Seamlessly integrate with development tools to enhance test reliability and debugging efficiency. | 2025-04-23T04:00:20.923Z | 0 | https://smithery.ai/server/@currents-dev/currents-mcp | true | null | {
"scanPassed": true
} | [{'name': 'get-run', 'description': 'Get run details for a defined run ID', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['runId'], 'properties': {'runId': {'type': 'string'}}, 'additionalProperties': False}}, {'name': 'get-spec-file-attempts-and-errors', 'description': 'Get spec file attempts and errors', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['instanceId'], 'properties': {'instanceId': {'type': 'string'}}, 'additionalProperties': False}}, {'name': 'get-api-config', 'description': 'Get Currents API config currently used for Currents API requests', 'inputSchema': {'type': 'object'}}] |
@currents-dev/currents-mcp | Currents Test Results Context Server | Provide AI agents with detailed test results context by connecting them to Currents. Enable your AI to analyze, fix, or optimize failing tests in continuous integration workflows. Seamlessly integrate with development tools to enhance test reliability and debugging efficiency. | 2025-04-23T04:00:20.923Z | 0 | https://smithery.ai/server/@currents-dev/currents-mcp | true | null | {
"scanPassed": true
} | [{'name': 'get-run', 'description': 'Get run details for a defined run ID', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['runId'], 'properties': {'runId': {'type': 'string'}}, 'additionalProperties': False}}, {'name': 'get-spec-file-attempts-and-errors', 'description': 'Get spec file attempts and errors', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['instanceId'], 'properties': {'instanceId': {'type': 'string'}}, 'additionalProperties': False}}, {'name': 'get-api-config', 'description': 'Get Currents API config currently used for Currents API requests', 'inputSchema': {'type': 'object'}}] |
@Ejb503/systemprompt-mcp-reddit | Systemprompt MCP Reddit | Interact with Reddit effortlessly using AI agents. Fetch posts, create content, and manage subreddits with customizable parameters to enhance your social media experience. | 2025-03-22T05:00:47.974Z | 0 | https://smithery.ai/server/@Ejb503/systemprompt-mcp-reddit | true | null | {
"scanPassed": true
} | [{'name': 'analyse_subreddit', '_meta': {'type': 'sampling', 'title': 'Analyse Subreddit', 'hidden': True, 'callback': 'analyse_subreddit_callback'}, 'description': "Analyzes a subreddit's current state and trends by examining recent posts and activity. This tool should be used when you need to understand the current topics, discussions, and engagement patterns within a specific subreddit. It provides insights into post frequency, popular topics, common themes, and overall community engagement. Use this to gauge the subreddit's atmosphere before creating posts or to understand what content performs well.", 'inputSchema': {'type': 'object', 'required': ['subreddit'], 'properties': {'subreddit': {'type': 'string', 'description': "The subreddit to analyze (without the 'r/' prefix)"}}}}, {'name': 'configure_instructions', '_meta': {'type': 'api', 'title': 'Configure Instructions', 'hidden': False}, 'description': 'Configures custom instructions for how the AI should generate Reddit content. This tool should be used to set specific guidelines, tone preferences, and content rules that will be applied to all generated Reddit content. You can specify writing style (formal, casual, technical), content preferences (length, formatting, structure), and any specific requirements (including/excluding certain topics, handling sensitive content). These instructions help maintain consistency and appropriateness across all generated Reddit content.', 'inputSchema': {'type': 'object', 'required': ['content'], 'properties': {'content': {'type': 'string', 'description': 'Detailed instructions for content generation, including style guidelines, formatting preferences, and content rules. Should specify any required patterns, structures, or conventions to follow.'}}}}, {'name': 'create_comment', '_meta': {'type': 'api', 'title': 'Create Comment', 'hidden': True, 'callback': 'create_comment_callback'}, 'description': "Creates a draft comment to respond to an existing Reddit post or comment. This tool should be used when you want to contribute to an ongoing discussion, provide feedback, or engage with other users' content. The comment should be relevant to the parent content, maintain appropriate tone, and follow the subreddit's commenting guidelines. Comments can include markdown formatting for better readability (e.g., lists, quotes, code blocks). This tool creates a draft that can be reviewed and edited before posting - it doesn't post automatically. Use this for thoughtful responses that add value to the discussion.", 'inputSchema': {'type': 'object', 'required': ['subreddit', 'content', 'id'], 'properties': {'id': {'type': 'string', 'description': "The unique ID of the parent post/comment being replied to. Must be prefixed with 't1_' for comments or 't3_' for posts. This determines where the comment will appear in the thread."}, 'content': {'type': 'string', 'description': 'Instructions for generating the comment content. Should create relevant, well-formatted text that contributes meaningfully to the discussion. Use markdown for formatting. Must not exceed 10000 characters. Consider the context and tone of the parent post/comment.'}, 'subreddit': {'type': 'string', 'description': "The subreddit where the comment will be posted (without the 'r/' prefix). Important for context and following subreddit-specific rules."}}}}, {'name': 'create_message', '_meta': {'type': 'api', 'title': 'Create Message', 'hidden': False, 'ignore': False, 'callback': 'create_message_callback'}, 'description': "Creates a draft of a private Reddit message to another user. This tool should be used when you want to initiate a private conversation with another Reddit user. It's suitable for personal communications, inquiries, or follow-ups that shouldn't be public. The tool creates a draft that can be reviewed and edited before sending. Note that this only creates the message - it doesn't send it automatically. Messages should be concise, clear, and follow Reddit's guidelines for private communications.", 'inputSchema': {'type': 'object', 'required': ['recipient', 'subject', 'content'], 'properties': {'content': {'type': 'string', 'maxLength': 10000, 'description': 'Instructions for generating the message content. The message should be polite, clear, and formatted in markdown. Must not exceed 10000 characters. Should include proper greeting and closing.'}, 'subject': {'type': 'string', 'maxLength': 100, 'description': 'A clear, concise subject line that summarizes the message purpose (1-100 characters)'}, 'recipient': {'type': 'string', 'description': "The Reddit username of the recipient (without the 'u/' prefix)"}}}}, {'name': 'create_post', '_meta': {'type': 'api', 'title': 'Create Post', 'hidden': False, 'callback': 'create_post_callback'}, 'description': "Creates a draft of a new text post for Reddit. This tool should be used when you want to start a new discussion, share information, or ask questions in a subreddit. It creates a draft that can be reviewed and edited before posting. The post should follow the target subreddit's rules and conventions, including proper formatting, flair usage if required, and appropriate content warnings (NSFW/spoiler tags). Consider the subreddit's culture and typical post structure when creating content. This tool is ideal for text-based submissions - use other tools for image, link, or video posts.", 'inputSchema': {'type': 'object', 'required': ['subreddit', 'content'], 'properties': {'content': {'type': 'string', 'description': 'Instructions for generating the post. Should specify: 1) An engaging, clear title (1-300 chars) that follows subreddit rules, 2) Well-formatted body text with proper markdown, paragraphs, and any required sections, 3) Whether to include flair (if available), NSFW tag, or spoiler tag based on content and subreddit rules.'}, 'subreddit': {'type': 'string', 'description': "The target subreddit where the post will be submitted (without the 'r/' prefix). Ensure the subreddit exists and allows text posts."}}}}, {'name': 'delete_content', '_meta': {'type': 'api', 'title': 'Delete Content', 'hidden': True, 'ignore': True}, 'description': "Permanently removes a Reddit resource such as a post, comment, or reply. This tool should be used when content needs to be removed from Reddit, whether due to errors, inappropriate content, or user request. Note that deletion is permanent and cannot be undone. Use this tool carefully as it permanently removes the content from Reddit's public view, though it may still be visible in some Reddit archives. This tool is particularly useful for removing mistakenly posted content or managing your Reddit presence.", 'inputSchema': {'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'The unique identifier of the content to delete. Must be a valid Reddit ID with appropriate prefix (t1_ for comments, t3_ for posts). Ensure you have permission to delete the specified content.'}}}}, {'name': 'edit_content', '_meta': {'type': 'api', 'title': 'Edit Content', 'hidden': True, 'ignore': True}, 'description': "Modifies existing Reddit content (posts, comments, or replies). This tool should be used when you need to update, correct, or improve previously submitted content. Common uses include fixing typos, adding clarifications, updating outdated information, or expanding on points based on feedback. Note that Reddit shows an 'edited' indicator on modified content. While the edit history isn't public, it's good practice to maintain transparency about significant changes, perhaps with an 'Edit:' note explaining the changes.", 'inputSchema': {'type': 'object', 'required': ['id', 'content'], 'properties': {'id': {'type': 'string', 'description': 'The unique identifier of the content to edit. Must be a valid Reddit ID with appropriate prefix (t1_ for comments, t3_ for posts). Ensure you have permission to edit the specified content.'}, 'content': {'type': 'string', 'description': "The new content to replace the existing text. Should maintain the context and intent of the original post while incorporating necessary changes. For significant changes, consider adding an 'Edit:' note explaining the modifications. Must follow subreddit rules and Reddit's content policies."}}}}, {'name': 'get_comment', '_meta': {'type': 'server', 'title': 'Get Comment', 'hidden': True}, 'description': "Retrieves a specific Reddit comment and optionally its complete discussion thread. This tool should be used when you need to examine a particular comment's content, context, and responses. It's useful for understanding discussion flow, gathering context for replies, or analyzing conversation threads. When includeThread is true, it provides the full context of the discussion including parent comments and all replies, helping understand the complete conversation context.", 'inputSchema': {'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': "The unique identifier of the comment to retrieve. Must be a valid Reddit comment ID (prefixed with 't1_'). The ID can be found in the comment's permalink or through Reddit's API."}, 'includeThread': {'type': 'boolean', 'default': False, 'description': 'When true, fetches the entire comment thread including parent comments and all replies. This provides full context but may return a larger amount of data. When false, only fetches the specific comment.'}}}}, {'name': 'get_notifications', '_meta': {'type': 'server', 'title': 'Get Notifications', 'hidden': True, 'ignore': False}, 'description': 'Fetches and manages Reddit notifications (inbox items) with advanced filtering options. This tool should be used to monitor and handle various types of Reddit interactions including comment replies, post replies, username mentions, and private messages. It provides flexible filtering options to focus on specific notification types, manage read/unread status, and exclude unwanted content. Use this tool to stay updated on Reddit interactions and manage your notification inbox effectively.', 'inputSchema': {'type': 'object', 'properties': {'after': {'type': 'string', 'description': 'Fetch notifications after this notification ID. Used for pagination and getting newer notifications.'}, 'limit': {'type': 'number', 'description': 'Maximum number of notifications to fetch. Use this to control the volume of notifications returned.'}, 'before': {'type': 'string', 'description': 'Fetch notifications before this notification ID. Used for pagination and getting older notifications.'}, 'filter': {'enum': ['all', 'unread', 'messages', 'comments', 'mentions'], 'type': 'string', 'description': "Filter notifications by type: 'all' for everything, 'unread' for new notifications, 'messages' for private messages, 'comments' for comment replies, 'mentions' for username mentions."}, 'markRead': {'type': 'boolean', 'description': 'When true, marks fetched notifications as read. Set to false to preserve unread status.'}, 'excludeIds': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Array of notification IDs to exclude from results. Useful for filtering out specific notifications.'}, 'excludeTypes': {'type': 'array', 'items': {'enum': ['comment_reply', 'post_reply', 'username_mention', 'message', 'other'], 'type': 'string'}, 'description': 'Array of notification types to exclude. Use this to filter out specific types of interactions.'}, 'excludeSubreddits': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Array of subreddit names to exclude notifications from. Helps focus on specific communities.'}}}}, {'name': 'get_post', '_meta': {'type': 'server', 'title': 'Get Post', 'hidden': True}, 'description': "Retrieves a complete Reddit post including its title, content, metadata, and all associated comments and reply threads. This tool should be used when you need to examine a specific post's full context, including its discussion. It's particularly useful for understanding the complete conversation around a post, analyzing community responses, or preparing to engage with the discussion. The tool provides access to all post details including awards, vote counts, posting time, and the full comment tree.", 'inputSchema': {'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': "The unique identifier of the post to retrieve. Must be a valid Reddit post ID (prefixed with 't3_'). The ID can be found in the post's URL or through Reddit's API."}}}}, {'name': 'get_posts', '_meta': {'type': 'sampling', 'title': 'Get Posts', 'hidden': True, 'ignore': False}, 'description': "Retrieves multiple Reddit posts from a specified subreddit based on sorting criteria. This tool should be used when you want to monitor subreddit activity, analyze trending topics, or find relevant discussions. It provides different sorting options: 'hot' for currently popular posts, 'new' for latest submissions, and 'controversial' for posts with mixed reactions. This is particularly useful for understanding current subreddit trends, finding recent discussions, or identifying contentious topics.", 'inputSchema': {'type': 'object', 'required': ['sort', 'subreddit'], 'properties': {'sort': {'enum': ['hot', 'new', 'controversial'], 'type': 'string', 'description': "How to sort the retrieved posts: 'hot' shows currently trending posts, 'new' shows most recent submissions, 'controversial' shows posts with significant up/down vote activity."}, 'subreddit': {'type': 'string', 'description': "The target subreddit to fetch posts from (without the 'r/' prefix). Ensure the subreddit exists and is accessible."}}}}, {'name': 'search_reddit', '_meta': {'type': 'server', 'title': 'Search Reddit', 'hidden': False}, 'description': 'Search Reddit posts across all subreddits or within a specific subreddit', 'inputSchema': {'type': 'object', 'required': ['query'], 'properties': {'sort': {'enum': ['relevance', 'hot', 'new', 'top'], 'type': 'string', 'default': 'relevance', 'description': 'How to sort the search results'}, 'time': {'enum': ['hour', 'day', 'week', 'month', 'year', 'all'], 'type': 'string', 'default': 'all', 'description': 'Time window for the search results'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100, 'minimum': 1, 'description': 'Maximum number of results to return'}, 'query': {'type': 'string', 'description': 'The search query to find Reddit posts'}, 'subreddit': {'type': 'string', 'description': 'Optional subreddit to restrict the search to'}}}}, {'name': 'send_comment', '_meta': {'type': 'server', 'title': 'Send Comment', 'hidden': True}, 'description': 'Sends a comment to a Reddit post or another comment', 'inputSchema': {'type': 'object', 'required': ['id', 'text'], 'properties': {'id': {'type': 'string', 'pattern': '^t[1|3]_[a-z0-9]+$', 'description': 'The ID of the parent post or comment to comment on (must start with t1_ for comments or t3_ for posts)'}, 'text': {'type': 'string', 'maxLength': 10000, 'description': 'The markdown text of the comment (max 10000 characters)'}, 'sendreplies': {'type': 'boolean', 'default': True, 'description': 'Whether to send comment notifications'}}}}, {'name': 'send_message', '_meta': {'type': 'server', 'title': 'Send Message', 'hidden': True, 'ignore': True}, 'description': 'Sends a Reddit message to another user', 'inputSchema': {'type': 'object', 'required': ['recipient', 'subject', 'content'], 'properties': {'content': {'type': 'string', 'maxLength': 10000, 'description': 'Message content in markdown format (max 10000 chars)'}, 'subject': {'type': 'string', 'maxLength': 100, 'minLength': 1, 'description': 'Subject line of the message (1-100 chars)'}, 'recipient': {'type': 'string', 'description': 'Username of the message recipient'}}}}, {'name': 'send_post', '_meta': {'type': 'server', 'title': 'Send Post', 'hidden': True}, 'description': 'Sends a new text post to Reddit', 'inputSchema': {'type': 'object', 'required': ['subreddit', 'title', 'content'], 'properties': {'nsfw': {'type': 'boolean', 'default': False, 'description': 'Whether to mark as NSFW'}, 'title': {'type': 'string', 'maxLength': 300, 'minLength': 1, 'description': 'Post title (1-300 characters)'}, 'content': {'type': 'string', 'description': 'Text content for the post'}, 'spoiler': {'type': 'boolean', 'default': False, 'description': 'Whether to mark as spoiler'}, 'flair_id': {'type': 'string', 'description': 'Flair ID if the subreddit requires it'}, 'subreddit': {'type': 'string', 'description': 'Subreddit to post to (without r/ prefix)'}, 'flair_text': {'type': 'string', 'description': 'Flair text if the subreddit requires it'}, 'sendreplies': {'type': 'boolean', 'default': True, 'description': 'Whether to send replies to inbox'}}}}] |
@Ejb503/systemprompt-mcp-reddit | Systemprompt MCP Reddit | Interact with Reddit effortlessly using AI agents. Fetch posts, create content, and manage subreddits with customizable parameters to enhance your social media experience. | 2025-03-22T05:00:47.974Z | 0 | https://smithery.ai/server/@Ejb503/systemprompt-mcp-reddit | true | null | {
"scanPassed": true
} | [{'name': 'analyse_subreddit', '_meta': {'type': 'sampling', 'title': 'Analyse Subreddit', 'hidden': True, 'callback': 'analyse_subreddit_callback'}, 'description': "Analyzes a subreddit's current state and trends by examining recent posts and activity. This tool should be used when you need to understand the current topics, discussions, and engagement patterns within a specific subreddit. It provides insights into post frequency, popular topics, common themes, and overall community engagement. Use this to gauge the subreddit's atmosphere before creating posts or to understand what content performs well.", 'inputSchema': {'type': 'object', 'required': ['subreddit'], 'properties': {'subreddit': {'type': 'string', 'description': "The subreddit to analyze (without the 'r/' prefix)"}}}}, {'name': 'configure_instructions', '_meta': {'type': 'api', 'title': 'Configure Instructions', 'hidden': False}, 'description': 'Configures custom instructions for how the AI should generate Reddit content. This tool should be used to set specific guidelines, tone preferences, and content rules that will be applied to all generated Reddit content. You can specify writing style (formal, casual, technical), content preferences (length, formatting, structure), and any specific requirements (including/excluding certain topics, handling sensitive content). These instructions help maintain consistency and appropriateness across all generated Reddit content.', 'inputSchema': {'type': 'object', 'required': ['content'], 'properties': {'content': {'type': 'string', 'description': 'Detailed instructions for content generation, including style guidelines, formatting preferences, and content rules. Should specify any required patterns, structures, or conventions to follow.'}}}}, {'name': 'create_comment', '_meta': {'type': 'api', 'title': 'Create Comment', 'hidden': True, 'callback': 'create_comment_callback'}, 'description': "Creates a draft comment to respond to an existing Reddit post or comment. This tool should be used when you want to contribute to an ongoing discussion, provide feedback, or engage with other users' content. The comment should be relevant to the parent content, maintain appropriate tone, and follow the subreddit's commenting guidelines. Comments can include markdown formatting for better readability (e.g., lists, quotes, code blocks). This tool creates a draft that can be reviewed and edited before posting - it doesn't post automatically. Use this for thoughtful responses that add value to the discussion.", 'inputSchema': {'type': 'object', 'required': ['subreddit', 'content', 'id'], 'properties': {'id': {'type': 'string', 'description': "The unique ID of the parent post/comment being replied to. Must be prefixed with 't1_' for comments or 't3_' for posts. This determines where the comment will appear in the thread."}, 'content': {'type': 'string', 'description': 'Instructions for generating the comment content. Should create relevant, well-formatted text that contributes meaningfully to the discussion. Use markdown for formatting. Must not exceed 10000 characters. Consider the context and tone of the parent post/comment.'}, 'subreddit': {'type': 'string', 'description': "The subreddit where the comment will be posted (without the 'r/' prefix). Important for context and following subreddit-specific rules."}}}}, {'name': 'create_message', '_meta': {'type': 'api', 'title': 'Create Message', 'hidden': False, 'ignore': False, 'callback': 'create_message_callback'}, 'description': "Creates a draft of a private Reddit message to another user. This tool should be used when you want to initiate a private conversation with another Reddit user. It's suitable for personal communications, inquiries, or follow-ups that shouldn't be public. The tool creates a draft that can be reviewed and edited before sending. Note that this only creates the message - it doesn't send it automatically. Messages should be concise, clear, and follow Reddit's guidelines for private communications.", 'inputSchema': {'type': 'object', 'required': ['recipient', 'subject', 'content'], 'properties': {'content': {'type': 'string', 'maxLength': 10000, 'description': 'Instructions for generating the message content. The message should be polite, clear, and formatted in markdown. Must not exceed 10000 characters. Should include proper greeting and closing.'}, 'subject': {'type': 'string', 'maxLength': 100, 'description': 'A clear, concise subject line that summarizes the message purpose (1-100 characters)'}, 'recipient': {'type': 'string', 'description': "The Reddit username of the recipient (without the 'u/' prefix)"}}}}, {'name': 'create_post', '_meta': {'type': 'api', 'title': 'Create Post', 'hidden': False, 'callback': 'create_post_callback'}, 'description': "Creates a draft of a new text post for Reddit. This tool should be used when you want to start a new discussion, share information, or ask questions in a subreddit. It creates a draft that can be reviewed and edited before posting. The post should follow the target subreddit's rules and conventions, including proper formatting, flair usage if required, and appropriate content warnings (NSFW/spoiler tags). Consider the subreddit's culture and typical post structure when creating content. This tool is ideal for text-based submissions - use other tools for image, link, or video posts.", 'inputSchema': {'type': 'object', 'required': ['subreddit', 'content'], 'properties': {'content': {'type': 'string', 'description': 'Instructions for generating the post. Should specify: 1) An engaging, clear title (1-300 chars) that follows subreddit rules, 2) Well-formatted body text with proper markdown, paragraphs, and any required sections, 3) Whether to include flair (if available), NSFW tag, or spoiler tag based on content and subreddit rules.'}, 'subreddit': {'type': 'string', 'description': "The target subreddit where the post will be submitted (without the 'r/' prefix). Ensure the subreddit exists and allows text posts."}}}}, {'name': 'delete_content', '_meta': {'type': 'api', 'title': 'Delete Content', 'hidden': True, 'ignore': True}, 'description': "Permanently removes a Reddit resource such as a post, comment, or reply. This tool should be used when content needs to be removed from Reddit, whether due to errors, inappropriate content, or user request. Note that deletion is permanent and cannot be undone. Use this tool carefully as it permanently removes the content from Reddit's public view, though it may still be visible in some Reddit archives. This tool is particularly useful for removing mistakenly posted content or managing your Reddit presence.", 'inputSchema': {'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'The unique identifier of the content to delete. Must be a valid Reddit ID with appropriate prefix (t1_ for comments, t3_ for posts). Ensure you have permission to delete the specified content.'}}}}, {'name': 'edit_content', '_meta': {'type': 'api', 'title': 'Edit Content', 'hidden': True, 'ignore': True}, 'description': "Modifies existing Reddit content (posts, comments, or replies). This tool should be used when you need to update, correct, or improve previously submitted content. Common uses include fixing typos, adding clarifications, updating outdated information, or expanding on points based on feedback. Note that Reddit shows an 'edited' indicator on modified content. While the edit history isn't public, it's good practice to maintain transparency about significant changes, perhaps with an 'Edit:' note explaining the changes.", 'inputSchema': {'type': 'object', 'required': ['id', 'content'], 'properties': {'id': {'type': 'string', 'description': 'The unique identifier of the content to edit. Must be a valid Reddit ID with appropriate prefix (t1_ for comments, t3_ for posts). Ensure you have permission to edit the specified content.'}, 'content': {'type': 'string', 'description': "The new content to replace the existing text. Should maintain the context and intent of the original post while incorporating necessary changes. For significant changes, consider adding an 'Edit:' note explaining the modifications. Must follow subreddit rules and Reddit's content policies."}}}}, {'name': 'get_comment', '_meta': {'type': 'server', 'title': 'Get Comment', 'hidden': True}, 'description': "Retrieves a specific Reddit comment and optionally its complete discussion thread. This tool should be used when you need to examine a particular comment's content, context, and responses. It's useful for understanding discussion flow, gathering context for replies, or analyzing conversation threads. When includeThread is true, it provides the full context of the discussion including parent comments and all replies, helping understand the complete conversation context.", 'inputSchema': {'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': "The unique identifier of the comment to retrieve. Must be a valid Reddit comment ID (prefixed with 't1_'). The ID can be found in the comment's permalink or through Reddit's API."}, 'includeThread': {'type': 'boolean', 'default': False, 'description': 'When true, fetches the entire comment thread including parent comments and all replies. This provides full context but may return a larger amount of data. When false, only fetches the specific comment.'}}}}, {'name': 'get_notifications', '_meta': {'type': 'server', 'title': 'Get Notifications', 'hidden': True, 'ignore': False}, 'description': 'Fetches and manages Reddit notifications (inbox items) with advanced filtering options. This tool should be used to monitor and handle various types of Reddit interactions including comment replies, post replies, username mentions, and private messages. It provides flexible filtering options to focus on specific notification types, manage read/unread status, and exclude unwanted content. Use this tool to stay updated on Reddit interactions and manage your notification inbox effectively.', 'inputSchema': {'type': 'object', 'properties': {'after': {'type': 'string', 'description': 'Fetch notifications after this notification ID. Used for pagination and getting newer notifications.'}, 'limit': {'type': 'number', 'description': 'Maximum number of notifications to fetch. Use this to control the volume of notifications returned.'}, 'before': {'type': 'string', 'description': 'Fetch notifications before this notification ID. Used for pagination and getting older notifications.'}, 'filter': {'enum': ['all', 'unread', 'messages', 'comments', 'mentions'], 'type': 'string', 'description': "Filter notifications by type: 'all' for everything, 'unread' for new notifications, 'messages' for private messages, 'comments' for comment replies, 'mentions' for username mentions."}, 'markRead': {'type': 'boolean', 'description': 'When true, marks fetched notifications as read. Set to false to preserve unread status.'}, 'excludeIds': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Array of notification IDs to exclude from results. Useful for filtering out specific notifications.'}, 'excludeTypes': {'type': 'array', 'items': {'enum': ['comment_reply', 'post_reply', 'username_mention', 'message', 'other'], 'type': 'string'}, 'description': 'Array of notification types to exclude. Use this to filter out specific types of interactions.'}, 'excludeSubreddits': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Array of subreddit names to exclude notifications from. Helps focus on specific communities.'}}}}, {'name': 'get_post', '_meta': {'type': 'server', 'title': 'Get Post', 'hidden': True}, 'description': "Retrieves a complete Reddit post including its title, content, metadata, and all associated comments and reply threads. This tool should be used when you need to examine a specific post's full context, including its discussion. It's particularly useful for understanding the complete conversation around a post, analyzing community responses, or preparing to engage with the discussion. The tool provides access to all post details including awards, vote counts, posting time, and the full comment tree.", 'inputSchema': {'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': "The unique identifier of the post to retrieve. Must be a valid Reddit post ID (prefixed with 't3_'). The ID can be found in the post's URL or through Reddit's API."}}}}, {'name': 'get_posts', '_meta': {'type': 'sampling', 'title': 'Get Posts', 'hidden': True, 'ignore': False}, 'description': "Retrieves multiple Reddit posts from a specified subreddit based on sorting criteria. This tool should be used when you want to monitor subreddit activity, analyze trending topics, or find relevant discussions. It provides different sorting options: 'hot' for currently popular posts, 'new' for latest submissions, and 'controversial' for posts with mixed reactions. This is particularly useful for understanding current subreddit trends, finding recent discussions, or identifying contentious topics.", 'inputSchema': {'type': 'object', 'required': ['sort', 'subreddit'], 'properties': {'sort': {'enum': ['hot', 'new', 'controversial'], 'type': 'string', 'description': "How to sort the retrieved posts: 'hot' shows currently trending posts, 'new' shows most recent submissions, 'controversial' shows posts with significant up/down vote activity."}, 'subreddit': {'type': 'string', 'description': "The target subreddit to fetch posts from (without the 'r/' prefix). Ensure the subreddit exists and is accessible."}}}}, {'name': 'search_reddit', '_meta': {'type': 'server', 'title': 'Search Reddit', 'hidden': False}, 'description': 'Search Reddit posts across all subreddits or within a specific subreddit', 'inputSchema': {'type': 'object', 'required': ['query'], 'properties': {'sort': {'enum': ['relevance', 'hot', 'new', 'top'], 'type': 'string', 'default': 'relevance', 'description': 'How to sort the search results'}, 'time': {'enum': ['hour', 'day', 'week', 'month', 'year', 'all'], 'type': 'string', 'default': 'all', 'description': 'Time window for the search results'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100, 'minimum': 1, 'description': 'Maximum number of results to return'}, 'query': {'type': 'string', 'description': 'The search query to find Reddit posts'}, 'subreddit': {'type': 'string', 'description': 'Optional subreddit to restrict the search to'}}}}, {'name': 'send_comment', '_meta': {'type': 'server', 'title': 'Send Comment', 'hidden': True}, 'description': 'Sends a comment to a Reddit post or another comment', 'inputSchema': {'type': 'object', 'required': ['id', 'text'], 'properties': {'id': {'type': 'string', 'pattern': '^t[1|3]_[a-z0-9]+$', 'description': 'The ID of the parent post or comment to comment on (must start with t1_ for comments or t3_ for posts)'}, 'text': {'type': 'string', 'maxLength': 10000, 'description': 'The markdown text of the comment (max 10000 characters)'}, 'sendreplies': {'type': 'boolean', 'default': True, 'description': 'Whether to send comment notifications'}}}}, {'name': 'send_message', '_meta': {'type': 'server', 'title': 'Send Message', 'hidden': True, 'ignore': True}, 'description': 'Sends a Reddit message to another user', 'inputSchema': {'type': 'object', 'required': ['recipient', 'subject', 'content'], 'properties': {'content': {'type': 'string', 'maxLength': 10000, 'description': 'Message content in markdown format (max 10000 chars)'}, 'subject': {'type': 'string', 'maxLength': 100, 'minLength': 1, 'description': 'Subject line of the message (1-100 chars)'}, 'recipient': {'type': 'string', 'description': 'Username of the message recipient'}}}}, {'name': 'send_post', '_meta': {'type': 'server', 'title': 'Send Post', 'hidden': True}, 'description': 'Sends a new text post to Reddit', 'inputSchema': {'type': 'object', 'required': ['subreddit', 'title', 'content'], 'properties': {'nsfw': {'type': 'boolean', 'default': False, 'description': 'Whether to mark as NSFW'}, 'title': {'type': 'string', 'maxLength': 300, 'minLength': 1, 'description': 'Post title (1-300 characters)'}, 'content': {'type': 'string', 'description': 'Text content for the post'}, 'spoiler': {'type': 'boolean', 'default': False, 'description': 'Whether to mark as spoiler'}, 'flair_id': {'type': 'string', 'description': 'Flair ID if the subreddit requires it'}, 'subreddit': {'type': 'string', 'description': 'Subreddit to post to (without r/ prefix)'}, 'flair_text': {'type': 'string', 'description': 'Flair text if the subreddit requires it'}, 'sendreplies': {'type': 'boolean', 'default': True, 'description': 'Whether to send replies to inbox'}}}}] |
@timeheater/penumbra-mcp | Penumbra Blockchain | Interact with the Penumbra blockchain for privacy-preserving features. | 2025-01-07T03:37:38.533Z | 0 | https://smithery.ai/server/@timeheater/penumbra-mcp | true | null | {
"scanPassed": true
} | [{'name': 'get_validator_set', 'description': 'Get the current validator set information', 'inputSchema': {'type': 'object', 'required': [], 'properties': {}}}, {'name': 'get_chain_status', 'description': 'Get current chain status including block height and chain ID', 'inputSchema': {'type': 'object', 'required': [], 'properties': {}}}, {'name': 'get_transaction', 'description': 'Get details of a specific transaction', 'inputSchema': {'type': 'object', 'required': ['hash'], 'properties': {'hash': {'type': 'string', 'description': 'Transaction hash'}}}}, {'name': 'get_dex_state', 'description': 'Get current DEX state including latest batch auction results', 'inputSchema': {'type': 'object', 'required': [], 'properties': {}}}, {'name': 'get_governance_proposals', 'description': 'Get active governance proposals', 'inputSchema': {'type': 'object', 'required': [], 'properties': {'status': {'enum': ['active', 'completed', 'all'], 'type': 'string', 'default': 'active', 'description': 'Filter proposals by status'}}}}] |
@SirTenzin/autumn-mcp-server | Autumn MCP Server | Access the Autumn pricing API effortlessly to manage your customers. Create, retrieve, and manage customer entitlements and invoices, all through a simple interface. Generate billing portal links to enhance customer experience and streamline billing processes. | 2025-03-12T01:00:36.927Z | 0 | https://smithery.ai/server/@SirTenzin/autumn-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'get_autumn_user', 'description': 'Get a user by ID', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'The ID of the customer to fetch'}}, 'additionalProperties': False}}, {'name': 'get_billing_portal', 'description': 'Get the billing portal for a user', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'The ID of the customer to fetch the billing portal for'}}, 'additionalProperties': False}}, {'name': 'create_customer', 'description': 'Create a new customer', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['id', 'name', 'email'], 'properties': {'id': {'type': 'string', 'description': 'The ID of the customer to create'}, 'name': {'type': 'string', 'description': 'The name of the customer to create'}, 'email': {'type': 'string', 'description': 'The email of the customer to create'}}, 'additionalProperties': False}}, {'name': 'get_entitlement', 'description': 'Get a specific entitlement set for a user', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['id', 'feature_id'], 'properties': {'id': {'type': 'string', 'description': 'The ID of the customer to fetch the entitlements for'}, 'feature_id': {'type': 'string', 'description': 'The ID of the feature to fetch the entitlements status for'}}, 'additionalProperties': False}}] |
@mingzilla/pi-api-mcp-server | Panintellegence API MCP Server | Interact with the Panintellegence PI Dashboard API seamlessly. Access and manage dashboard resources like categories and charts securely, enabling your AI assistants to provide actionable insights effortlessly. | 2025-03-18T21:45:46.853Z | 0 | https://smithery.ai/server/@mingzilla/pi-api-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'get-filterable-attributes', 'description': 'Get the list of attributes that can be used for filtering by examining a sample entity', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['entityType'], 'properties': {'entityType': {'enum': ['chart', 'category'], 'type': 'string', 'description': 'Type of entity to examine (chart or category)'}}, 'additionalProperties': False}}, {'name': 'check-connection', 'description': 'Check if the current API URL and authentication are valid', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'set-api-url', 'description': 'Set the API base URL for all requests', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['url'], 'properties': {'url': {'type': 'string', 'description': 'API base URL (e.g., http://localhost:8224/pi/api/v2)'}}, 'additionalProperties': False}}, {'name': 'authenticate', 'description': 'Guide for authenticating with the PI API', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'keep-session-alive', 'description': 'Verify and refresh the current authentication token (also used for token-based authentication)', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'token': {'type': 'string', 'description': 'Optional: Provide a token to use for authentication'}}, 'additionalProperties': False}}, {'name': 'authenticate-with-credentials', 'description': 'Authenticate with the PI API using username and password (last resort option)', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['credentials'], 'properties': {'credentials': {'type': 'string', 'description': "Username and password as 'username password'"}}, 'additionalProperties': False}}, {'name': 'logout', 'description': 'Invalidate the current token and end the session', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'set-organization', 'description': 'Set the organization ID for subsequent requests', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['orgId'], 'properties': {'orgId': {'type': 'number', 'description': 'Organization ID'}}, 'additionalProperties': False}}, {'name': 'list-categories', 'description': 'List all categories with filtering support', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'page': {'type': 'number', 'default': 1, 'description': 'Page number for pagination'}, 'filter': {'type': 'string', 'description': "Filter criteria in the format 'fieldName(operator)=value'. Multiple filters can be combined with & (e.g., 'description(like)=dashboard&orgId(eq)=1'). Available operators: eq, ne, gt, lt, ge, le, like, nlike. Use get-filterable-attributes tool to see available fields."}, 'pageSize': {'type': 'number', 'default': 20, 'description': 'Number of items per page'}}, 'additionalProperties': False}}, {'name': 'get-category', 'description': 'Get a category by ID', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['id'], 'properties': {'id': {'type': 'number', 'description': 'Category ID'}}, 'additionalProperties': False}}, {'name': 'create-category', 'description': 'Create a new category', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['description', 'orgId'], 'properties': {'label': {'type': 'string', 'description': 'Alternative text for the category'}, 'orgId': {'type': 'number', 'description': 'Organization ID'}, 'helpText': {'type': 'string', 'description': 'Help text to describe the category'}, 'description': {'type': 'string', 'description': 'Unique name of a category'}, 'cascadeFilters': {'type': 'boolean', 'description': 'Enable cascading filters'}, 'categoryObjectsPosition': {'enum': ['RIGHT', 'TOP'], 'type': 'string', 'description': 'Position of category objects panel'}}, 'additionalProperties': False}}, {'name': 'update-category', 'description': 'Update an existing category', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['id'], 'properties': {'id': {'type': 'number', 'description': 'Category ID'}, 'label': {'type': 'string', 'description': 'Alternative text for the category'}, 'helpText': {'type': 'string', 'description': 'Help text to describe the category'}, 'description': {'type': 'string', 'description': 'Unique name of a category'}, 'cascadeFilters': {'type': 'boolean', 'description': 'Enable cascading filters'}, 'categoryObjectsPosition': {'enum': ['RIGHT', 'TOP'], 'type': 'string', 'description': 'Position of category objects panel'}}, 'additionalProperties': False}}, {'name': 'delete-category', 'description': 'Delete a category', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['id'], 'properties': {'id': {'type': 'number', 'description': 'Category ID'}}, 'additionalProperties': False}}, {'name': 'list-category-objects', 'description': 'List all objects for a specific category', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['categoryId'], 'properties': {'categoryId': {'type': 'number', 'description': 'Category ID'}}, 'additionalProperties': False}}, {'name': 'list-charts', 'description': 'List all charts with filtering support', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'page': {'type': 'number', 'default': 1, 'description': 'Page number for pagination'}, 'filter': {'type': 'string', 'description': "Filter criteria in the format 'fieldName(operator)=value'. Multiple filters can be combined with & (e.g., 'description(like)=revenue&categoryId(eq)=5'). Available operators: eq, ne, gt, lt, ge, le, like, nlike. Use get-filterable-attributes tool to see available fields."}, 'pageSize': {'type': 'number', 'default': 20, 'description': 'Number of items per page'}}, 'additionalProperties': False}}, {'name': 'get-chart', 'description': 'Get a chart by ID', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['id'], 'properties': {'id': {'type': 'number', 'description': 'Chart ID'}}, 'additionalProperties': False}}, {'name': 'delete-chart', 'description': 'Delete a chart', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['id'], 'properties': {'id': {'type': 'number', 'description': 'Chart ID'}}, 'additionalProperties': False}}, {'name': 'export-chart', 'description': 'Export a chart in various formats', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['id', 'format'], 'properties': {'id': {'type': 'number', 'description': 'Chart ID'}, 'format': {'enum': ['json', 'csv'], 'type': 'string', 'description': 'Export format'}}, 'additionalProperties': False}}] |
@ropon/mcp-server-v2ex | V2EX MCP Server | Access and manage V2EX API functionalities seamlessly. Retrieve notifications, manage tokens, and explore topics effortlessly through a unified interface. Enhance your applications with real-time data from V2EX. | 2025-04-14T07:30:32.196Z | 0 | https://smithery.ai/server/@ropon/mcp-server-v2ex | true | null | {
"scanPassed": true
} | [{'name': 'v2ex_notification', 'description': 'get v2ex user notification', 'inputSchema': {'type': 'object', 'required': ['page'], 'properties': {'page': {'type': 'number', 'default': 1, 'description': 'page number, notification Pagination number, default is 1'}}}}, {'name': 'v2ex_remove_notification', 'description': 'remove v2ex user notification', 'inputSchema': {'type': 'object', 'required': ['notification_id'], 'properties': {'notification_id': {'type': 'string', 'description': 'notification id'}}}}, {'name': 'v2ex_member_profile', 'description': 'get v2ex user profile', 'inputSchema': {'type': 'object', 'required': [], 'properties': {}}}, {'name': 'v2ex_node', 'description': 'get v2ex node', 'inputSchema': {'type': 'object', 'required': ['node_name'], 'properties': {'node_name': {'type': 'string', 'description': 'v2ex node name'}}}}, {'name': 'v2ex_node_topic', 'description': 'get v2ex node topic', 'inputSchema': {'type': 'object', 'required': ['node_name'], 'properties': {'page': {'type': 'number', 'default': 1, 'description': 'page number for current node topics list, default is 1'}, 'node_name': {'type': 'string', 'description': 'v2ex node name'}}}}, {'name': 'v2ex_topic', 'description': 'get v2ex topic', 'inputSchema': {'type': 'object', 'required': ['topic_id'], 'properties': {'topic_id': {'type': 'number', 'description': 'v2ex topic id'}}}}, {'name': 'v2ex_topic_comments', 'description': 'get v2ex topic comments', 'inputSchema': {'type': 'object', 'required': ['topic_id'], 'properties': {'page': {'type': 'number', 'default': 1, 'description': 'page number for current topic comments, default is 1'}, 'topic_id': {'type': 'number', 'description': 'v2ex topic id'}}}}, {'name': 'v2ex_current_token', 'description': 'get v2ex current user token', 'inputSchema': {'type': 'object', 'required': [], 'properties': {}}}, {'name': 'v2ex_create_new_token', 'description': 'create v2ex user new token', 'inputSchema': {'type': 'object', 'required': ['scope', 'expiration'], 'properties': {'scope': {'type': 'string', 'default': 'everything', 'description': 'v2ex token scope'}, 'expiration': {'type': 'number', 'description': 'v2ex token expiration'}}}}] |
@gdli6177/mcp-prompt-server | Prompt Server | Provide preset prompt templates as tools to help users efficiently perform various tasks such as code review, API documentation generation, and code refactoring. Enable dynamic parameter replacement for flexible prompt usage and allow developers to easily add or modify prompt templates. Optimize integration with editors like Cursor and Windsurf for a seamless user experience. | 2025-04-26T13:00:48.871Z | 0 | https://smithery.ai/server/@gdli6177/mcp-prompt-server | true | null | null | [{'name': 'api_documentation', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'format'], 'properties': {'code': {'type': 'string', 'description': '要生成文档的API代码'}, 'format': {'type': 'string', 'description': '文档格式(markdown/html/jsdoc等)'}, 'language': {'type': 'string', 'description': '编程语言'}}, 'additionalProperties': False}}, {'name': 'build_mcp_server', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'code_refactoring', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'focus_areas'], 'properties': {'code': {'type': 'string', 'description': '要重构的代码'}, 'language': {'type': 'string', 'description': '编程语言'}, 'focus_areas': {'type': 'string', 'description': '重点关注的重构领域(如性能、可读性、模块化等)'}}, 'additionalProperties': False}}, {'name': 'code_review', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code'], 'properties': {'code': {'type': 'string', 'description': '要审查的代码'}, 'language': {'type': 'string', 'description': '编程语言'}}, 'additionalProperties': False}}, {'name': 'project_architecture', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['project_type', 'technologies', 'features'], 'properties': {'features': {'type': 'string', 'description': '项目主要功能和特性'}, 'project_type': {'type': 'string', 'description': '项目类型(如Web应用、移动应用、API服务等)'}, 'technologies': {'type': 'string', 'description': '使用的技术栈(如React, Node.js, Python等)'}}, 'additionalProperties': False}}, {'name': 'prompt_template_generator', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['prompt_name', 'prompt_description', 'task_type'], 'properties': {'task_type': {'type': 'string', 'description': '任务类型（如代码生成、文档编写、数据分析等）'}, 'prompt_name': {'type': 'string', 'description': '新prompt的名称（唯一标识符）'}, 'prompt_description': {'type': 'string', 'description': '对prompt功能的描述'}}, 'additionalProperties': False}}, {'name': 'test_case_generator', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'test_framework'], 'properties': {'code': {'type': 'string', 'description': '要测试的代码'}, 'language': {'type': 'string', 'description': '编程语言'}, 'test_framework': {'type': 'string', 'description': '测试框架(如Jest, Pytest, JUnit等)'}}, 'additionalProperties': False}}, {'name': 'writing_assistant', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['draft', 'platform'], 'properties': {'draft': {'type': 'string', 'description': '用户提供的草稿内容'}, 'platform': {'type': 'string', 'description': '目标平台（如公众号、小红书、推特等）'}}, 'additionalProperties': False}}, {'name': 'reload_prompts', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'get_prompt_names', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}] |
@gdli6177/mcp-prompt-server | Prompt Server | Provide preset prompt templates as tools to help users efficiently perform various tasks such as code review, API documentation generation, and code refactoring. Enable dynamic parameter replacement for flexible prompt usage and allow developers to easily add or modify prompt templates. Optimize integration with editors like Cursor and Windsurf for a seamless user experience. | 2025-04-26T13:00:48.871Z | 0 | https://smithery.ai/server/@gdli6177/mcp-prompt-server | true | null | null | [{'name': 'api_documentation', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'format'], 'properties': {'code': {'type': 'string', 'description': '要生成文档的API代码'}, 'format': {'type': 'string', 'description': '文档格式(markdown/html/jsdoc等)'}, 'language': {'type': 'string', 'description': '编程语言'}}, 'additionalProperties': False}}, {'name': 'build_mcp_server', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'code_refactoring', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'focus_areas'], 'properties': {'code': {'type': 'string', 'description': '要重构的代码'}, 'language': {'type': 'string', 'description': '编程语言'}, 'focus_areas': {'type': 'string', 'description': '重点关注的重构领域(如性能、可读性、模块化等)'}}, 'additionalProperties': False}}, {'name': 'code_review', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code'], 'properties': {'code': {'type': 'string', 'description': '要审查的代码'}, 'language': {'type': 'string', 'description': '编程语言'}}, 'additionalProperties': False}}, {'name': 'project_architecture', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['project_type', 'technologies', 'features'], 'properties': {'features': {'type': 'string', 'description': '项目主要功能和特性'}, 'project_type': {'type': 'string', 'description': '项目类型(如Web应用、移动应用、API服务等)'}, 'technologies': {'type': 'string', 'description': '使用的技术栈(如React, Node.js, Python等)'}}, 'additionalProperties': False}}, {'name': 'prompt_template_generator', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['prompt_name', 'prompt_description', 'task_type'], 'properties': {'task_type': {'type': 'string', 'description': '任务类型（如代码生成、文档编写、数据分析等）'}, 'prompt_name': {'type': 'string', 'description': '新prompt的名称（唯一标识符）'}, 'prompt_description': {'type': 'string', 'description': '对prompt功能的描述'}}, 'additionalProperties': False}}, {'name': 'test_case_generator', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['language', 'code', 'test_framework'], 'properties': {'code': {'type': 'string', 'description': '要测试的代码'}, 'language': {'type': 'string', 'description': '编程语言'}, 'test_framework': {'type': 'string', 'description': '测试框架(如Jest, Pytest, JUnit等)'}}, 'additionalProperties': False}}, {'name': 'writing_assistant', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['draft', 'platform'], 'properties': {'draft': {'type': 'string', 'description': '用户提供的草稿内容'}, 'platform': {'type': 'string', 'description': '目标平台（如公众号、小红书、推特等）'}}, 'additionalProperties': False}}, {'name': 'reload_prompts', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}, {'name': 'get_prompt_names', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}, 'additionalProperties': False}}] |
@amitdeshmukh/stdout-mcp-server | stdout-mcp-server | Capture and manage application logs in real-time. Monitor multiple processes and analyze logs efficiently through a standardized interface. Enhance your debugging experience with easy log retrieval and filtering capabilities. | 2025-04-06T05:01:11.869Z | 0 | https://smithery.ai/server/@amitdeshmukh/stdout-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'get-logs', 'description': 'Retrieve logs from the named pipe with optional filtering', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'lines': {'type': 'number', 'default': 50, 'description': 'Number of log lines to return'}, 'since': {'type': 'number', 'description': 'Timestamp to get logs after'}, 'filter': {'type': 'string', 'description': 'Text to filter logs by'}}, 'additionalProperties': False}}] |
@amitdeshmukh/stdout-mcp-server | stdout-mcp-server | Capture and manage application logs in real-time. Monitor multiple processes and analyze logs efficiently through a standardized interface. Enhance your debugging experience with easy log retrieval and filtering capabilities. | 2025-04-06T05:01:11.869Z | 0 | https://smithery.ai/server/@amitdeshmukh/stdout-mcp-server | true | null | {
"scanPassed": true
} | [{'name': 'get-logs', 'description': 'Retrieve logs from the named pipe with optional filtering', 'inputSchema': {'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'lines': {'type': 'number', 'default': 50, 'description': 'Number of log lines to return'}, 'since': {'type': 'number', 'description': 'Timestamp to get logs after'}, 'filter': {'type': 'string', 'description': 'Text to filter logs by'}}, 'additionalProperties': False}}] |
@falahgs/mcp-csv-analysis-with-gemini-ai | CSV Analysis | Perform advanced analysis and visualization of CSV data using Gemini AI. Generate insights, create interactive charts, and enhance your data-driven decision-making process effortlessly. | 2025-04-12T12:48:06.860Z | 0 | https://smithery.ai/server/@falahgs/mcp-csv-analysis-with-gemini-ai | true | null | {
"scanPassed": true
} | [{'name': 'generate-thinking', 'description': "Generate detailed thinking process text using Gemini's experimental thinking model", 'inputSchema': {'type': 'object', 'required': ['prompt'], 'properties': {'prompt': {'type': 'string', 'description': 'Prompt for generating thinking process text'}, 'outputDir': {'type': 'string', 'description': 'Directory to save output responses (optional)'}}}}, {'name': 'analyze-csv', 'description': "Analyze CSV file using Gemini's AI capabilities for EDA and data science insights", 'inputSchema': {'type': 'object', 'required': ['csvPath'], 'properties': {'csvPath': {'type': 'string', 'description': 'Path to the CSV file to analyze'}, 'outputDir': {'type': 'string', 'description': 'Directory to save analysis results (optional)'}, 'analysisType': {'enum': ['basic', 'detailed'], 'type': 'string', 'default': 'detailed', 'description': 'Type of analysis to perform (basic or detailed)'}}}}, {'name': 'visualize-data', 'description': 'Generate visualizations from CSV data using Chart.js', 'inputSchema': {'type': 'object', 'required': ['csvPath'], 'properties': {'title': {'type': 'string', 'description': 'Chart title (optional)'}, 'columns': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Columns to visualize (first column for labels, second for values)'}, 'csvPath': {'type': 'string', 'description': 'Path to the CSV file to visualize'}, 'outputDir': {'type': 'string', 'description': 'Directory to save visualization results (optional)'}, 'visualizationType': {'enum': ['bar', 'line', 'scatter', 'pie'], 'type': 'string', 'default': 'bar', 'description': 'Type of visualization to generate'}}}}] |
cisa-m365 | CISA M365 | Implements CISA BOD 25-01 security controls for Microsoft 365 (Azure AD/Entra ID). | 2024-12-20T08:56:20.039Z | 0 | https://smithery.ai/server/cisa-m365 | true | null | {
"scanPassed": true
} | [{'name': 'block_legacy_auth', 'description': 'Block legacy authentication (MS.AAD.1.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'block_high_risk_users', 'description': 'Block users detected as high risk (MS.AAD.2.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'block_high_risk_signins', 'description': 'Block sign-ins detected as high risk (MS.AAD.2.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_phishing_resistant_mfa', 'description': 'Enforce phishing-resistant MFA for all users (MS.AAD.3.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_alternative_mfa', 'description': 'Enforce alternative MFA method if phishing-resistant MFA not enforced (MS.AAD.3.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_authenticator_context', 'description': 'Configure Microsoft Authenticator to show login context (MS.AAD.3.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'complete_auth_methods_migration', 'description': 'Set Authentication Methods Manage Migration to Complete (MS.AAD.3.4v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_privileged_mfa', 'description': 'Enforce phishing-resistant MFA for privileged roles (MS.AAD.3.6v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_app_registration', 'description': 'Allow only administrators to register applications (MS.AAD.5.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_app_consent', 'description': 'Allow only administrators to consent to applications (MS.AAD.5.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_admin_consent', 'description': 'Configure admin consent workflow for applications (MS.AAD.5.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_group_consent', 'description': 'Prevent group owners from consenting to applications (MS.AAD.5.4v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'disable_password_expiry', 'description': 'Disable password expiration (MS.AAD.6.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_global_admins', 'description': 'Configure Global Administrator role assignments (MS.AAD.7.1v1)', 'inputSchema': {'type': 'object', 'required': ['userIds'], 'properties': {'userIds': {'type': 'array', 'items': {'type': 'string'}, 'maxItems': 8, 'minItems': 2, 'description': 'List of user IDs to assign Global Administrator role'}}}}, {'name': 'enforce_granular_roles', 'description': 'Enforce use of granular roles instead of Global Administrator (MS.AAD.7.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_cloud_accounts', 'description': 'Enforce cloud-only accounts for privileged users (MS.AAD.7.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_pam', 'description': 'Enforce PAM system for privileged role assignments (MS.AAD.7.5v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_global_admin_approval', 'description': 'Configure approval requirement for Global Administrator activation (MS.AAD.7.6v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_role_alerts', 'description': 'Configure alerts for privileged role assignments (MS.AAD.7.7v1)', 'inputSchema': {'type': 'object', 'required': ['notificationEmails'], 'properties': {'notificationEmails': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Email addresses to notify on role assignments'}}}}, {'name': 'configure_admin_alerts', 'description': 'Configure alerts for Global Administrator activation (MS.AAD.7.8v1)', 'inputSchema': {'type': 'object', 'required': ['notificationEmails'], 'properties': {'notificationEmails': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Email addresses to notify on role activation'}}}}, {'name': 'get_policy_status', 'description': 'Get current status of all CISA M365 security policies', 'inputSchema': {'type': 'object', 'properties': {}}}] |
cisa-m365 | CISA M365 | Implements CISA BOD 25-01 security controls for Microsoft 365 (Azure AD/Entra ID). | 2024-12-20T08:56:20.039Z | 0 | https://smithery.ai/server/cisa-m365 | true | null | {
"scanPassed": true
} | [{'name': 'block_legacy_auth', 'description': 'Block legacy authentication (MS.AAD.1.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'block_high_risk_users', 'description': 'Block users detected as high risk (MS.AAD.2.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'block_high_risk_signins', 'description': 'Block sign-ins detected as high risk (MS.AAD.2.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_phishing_resistant_mfa', 'description': 'Enforce phishing-resistant MFA for all users (MS.AAD.3.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_alternative_mfa', 'description': 'Enforce alternative MFA method if phishing-resistant MFA not enforced (MS.AAD.3.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_authenticator_context', 'description': 'Configure Microsoft Authenticator to show login context (MS.AAD.3.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'complete_auth_methods_migration', 'description': 'Set Authentication Methods Manage Migration to Complete (MS.AAD.3.4v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_privileged_mfa', 'description': 'Enforce phishing-resistant MFA for privileged roles (MS.AAD.3.6v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_app_registration', 'description': 'Allow only administrators to register applications (MS.AAD.5.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_app_consent', 'description': 'Allow only administrators to consent to applications (MS.AAD.5.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_admin_consent', 'description': 'Configure admin consent workflow for applications (MS.AAD.5.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'restrict_group_consent', 'description': 'Prevent group owners from consenting to applications (MS.AAD.5.4v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'disable_password_expiry', 'description': 'Disable password expiration (MS.AAD.6.1v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_global_admins', 'description': 'Configure Global Administrator role assignments (MS.AAD.7.1v1)', 'inputSchema': {'type': 'object', 'required': ['userIds'], 'properties': {'userIds': {'type': 'array', 'items': {'type': 'string'}, 'maxItems': 8, 'minItems': 2, 'description': 'List of user IDs to assign Global Administrator role'}}}}, {'name': 'enforce_granular_roles', 'description': 'Enforce use of granular roles instead of Global Administrator (MS.AAD.7.2v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_cloud_accounts', 'description': 'Enforce cloud-only accounts for privileged users (MS.AAD.7.3v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'enforce_pam', 'description': 'Enforce PAM system for privileged role assignments (MS.AAD.7.5v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_global_admin_approval', 'description': 'Configure approval requirement for Global Administrator activation (MS.AAD.7.6v1)', 'inputSchema': {'type': 'object', 'properties': {}}}, {'name': 'configure_role_alerts', 'description': 'Configure alerts for privileged role assignments (MS.AAD.7.7v1)', 'inputSchema': {'type': 'object', 'required': ['notificationEmails'], 'properties': {'notificationEmails': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Email addresses to notify on role assignments'}}}}, {'name': 'configure_admin_alerts', 'description': 'Configure alerts for Global Administrator activation (MS.AAD.7.8v1)', 'inputSchema': {'type': 'object', 'required': ['notificationEmails'], 'properties': {'notificationEmails': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Email addresses to notify on role activation'}}}}, {'name': 'get_policy_status', 'description': 'Get current status of all CISA M365 security policies', 'inputSchema': {'type': 'object', 'properties': {}}}] |
mcp-server-llamacloud | LlamaCloud | Connect to a managed index on LlamaCloud to retrieve information. | 2025-01-01T09:04:09.853Z | 0 | https://smithery.ai/server/mcp-server-llamacloud | true | null | {
"scanPassed": true
} | [{'name': 'get_information', 'description': 'Get information from your knowledge base to answer questions.', 'inputSchema': {'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'description': 'The query used to get information about your knowledge base.'}}}}] |
mcp-server-llamacloud | LlamaCloud | Connect to a managed index on LlamaCloud to retrieve information. | 2025-01-01T09:04:09.853Z | 0 | https://smithery.ai/server/mcp-server-llamacloud | true | null | {
"scanPassed": true
} | [{'name': 'get_information', 'description': 'Get information from your knowledge base to answer questions.', 'inputSchema': {'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'description': 'The query used to get information about your knowledge base.'}}}}] |
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