Enhance quiz generation functionality by improving JSON response parsing in app.py and quiz_tools.py. Implement robust error handling for various response formats, including string and dictionary types. Introduce utility functions to clean and extract JSON from text, ensuring cleaner data handling and improved reliability in quiz data retrieval.

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.