Refactor TutorX MCP server to integrate Mistral OCR for document processing, update concept graph tools for LLM-driven responses, and enhance learning path generation with Gemini. Transitioned various tools to utilize LLM for improved educational interactions and streamlined API responses.

Refactor TutorX MCP server to remove legacy client and utility modules, update app.py for SSE integration, and enhance .gitignore to exclude .cursor directory. Clean up main.py for improved server configuration and streamline run script for better usability.

All the functionality working with mock data

Core and Advanced Features is working with mock data.

Enhance TutorX MCP server with SSE support, update default port to 8001, and implement asynchronous API requests in Gradio interface. Added error handling for API interactions and improved server configuration.

switch mcp server stdio to sse.

Removed gamification features and deployment configuration

Added external tool integration,also with test files and documentation

Added proper MCP client, fixed Gradio-MCP integration, and improved architecture

Step 5: Added Gradio web interface and run script for the TutorX MCP server