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| # TutorX-MCP | |
| # Product Requirements Document (PRD) | |
| **Educational AI Tutor MCP Server** | |
| ## 1. Overview | |
| **Product Name:** | |
| Educational AI Tutor MCP Server | |
| **Purpose:** | |
| To provide an adaptive, multi-modal, and collaborative AI tutoring platform accessible via browser, leveraging Model Context Protocol (MCP) for tool integration and Gradio for user-friendly interfaces. | |
| **Target Users:** | |
| - **Students:** K-12, higher education, lifelong learners | |
| - **Teachers:** For classroom integration and progress monitoring | |
| - **Administrators:** For curriculum management and analytics | |
| --- | |
| ## 2. Objectives | |
| - **Deliver personalized, adaptive learning experiences** | |
| - **Enable collaborative and interactive learning** | |
| - **Support multiple input/output modalities (text, voice, handwriting, AR/VR)** | |
| - **Ensure privacy and data security** | |
| - **Integrate with external educational tools and standards** | |
| - **Provide actionable insights and analytics for students and teachers** | |
| --- | |
| ## 3. Features | |
| ## 3.1 Core Features | |
| - **Adaptive Learning Engine** | |
| - Concept graph with 50,000+ nodes (STEM and humanities) | |
| - Dynamic skill assessment and competency tracking | |
| - Personalized learning paths based on real-time feedback | |
| - **Multi-Modal Interaction** | |
| - Text-based Q&A with error pattern recognition | |
| - Voice recognition with ASR and TTS | |
| - Handwriting recognition and digital ink processing | |
| - **Assessment Suite** | |
| - Automated quiz and problem generation | |
| - Step-by-step solution analysis | |
| - Plagiarism and similarity detection | |
| - **Feedback System** | |
| - Contextual error analysis and suggestions | |
| - Multimodal feedback (text, audio, visual) | |
| ## 3.2 Advanced Features | |
| - **Neurological Engagement Monitor** | |
| - Integration with consumer-grade EEG devices | |
| - Attention, cognitive load, and stress detection | |
| - **Cross-Institutional Knowledge Fusion** | |
| - Curriculum alignment with 10+ national standards | |
| - Textbook content reconciliation | |
| - Cultural adaptation engine | |
| - **Automated Lesson Authoring** | |
| - AI-powered content generation from PDFs, videos, web | |
| ## 3.3 User Experience | |
| - **Custom Dashboard** | |
| - Knowledge growth map | |
| - Temporal performance heatmap | |
| - Cognitive profile radar | |
| - **Accessibility** | |
| - Screen reader compatibility | |
| - Text-to-speech and adjustable interface | |
| --- | |
| ## 4. Technical Requirements | |
| - **MCP Server:** Exposes all core and advanced features as MCP tools | |
| - **Gradio Interface:** User-friendly, customizable, and accessible | |
| - **Microservices Architecture:** Modular design for scalability | |
| - **Real-Time Data Processing:** Asynchronous task queues and caching | |
| - **Local Access:** Browser-based access from local machine | |
| --- | |
| ## 6. Success Metrics | |
| - **User Engagement:** Average session duration, repeat usage | |
| - **Learning Outcomes:** Improvement in quiz/test scores | |
| - **Adoption Rate:** Number of active users and institutions | |
| - **Teacher Satisfaction:** Feedback on usability and effectiveness | |
| - **Technical Performance:** Uptime, response time, error rates | |
| --- | |
| ## 7. Roadmap | |
| 1. **Phase 1:** Core adaptive learning engine and MCP integration | |
| 2. **Phase 2:** Multi-modal interaction and collaborative tools | |
| 3. **Phase 3:** Advanced features (engagement monitor, lesson authoring) | |
| 4. **Phase 4:** Analytics and performance monitoring | |
| --- | |
| ## 8. Risks and Mitigation | |
| - **Privacy Concerns:** Implement strict data controls and transparency | |
| - **Technical Complexity:** Modular design and clear documentation | |
| - **User Adoption:** Provide training materials and support | |
| --- | |
| ## 9. Stakeholders | |
| - **Product Manager:** Oversees development and alignment with educational goals | |
| - **Developers:** Build and maintain the MCP server and Gradio interface | |
| - **Designers:** Ensure intuitive and accessible user experience | |
| - **Educators:** Provide feedback and guide curriculum alignment | |
| - **Students:** End users and primary beneficiaries | |
| --- | |
| ## 10. Appendix | |
| - **Glossary:** MCP, Gradio, adaptive learning, etc. | |
| - **References:** Educational standards, privacy regulations, technical documentation | |
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