Implement AI tutoring and content generation tools for TutorX

Implement storage layer and adaptive learning tools for TutorX-MCP

Refactor JSON response handling in interaction_tools.py by replacing direct JSON loading with a utility function for extracting JSON from text. This change enhances error management and maintains consistency in data handling across the application.

Refactor response handling in app.py and various tool modules to improve JSON parsing and error management. Introduce utility functions for cleaning and extracting JSON from text, ensuring consistent data handling across quiz, lesson, learning path, and interaction tools. Enhance robustness by accommodating multiple response formats, including strings and dictionaries, to streamline educational interactions.

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 app.py to enhance concept graph visualization with improved error handling and response parsing. Integrate synchronous wrapper for async loading of concept graphs, update Gradio interface for better user experience, and streamline concept details display. Update concept graph tools to support LLM-driven generation with fallback mechanisms for concept 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.