MCP Learning Log

How MCP Generates Learning Logs

This portfolio uses Model Context Protocol (MCP) - a standardized interface that allows AI agents to access and manage my learning data through 5 specialized tools:

• ▸get_roadmap - Fetches my AI learning roadmap structure
• ▸search_knowledge - Performs semantic search across all my notes using RAG (Retrieval-Augmented Generation)
• ▸add_learning_entry - Automatically creates new learning log entries
• ▸get_learning_entries - Retrieves my learning history with filters
• ▸get_progress_stats - Tracks my learning progress metrics

A LangChain-powered agent orchestrates these tools intelligently - analyzing my GitHub commits, study sessions, and project work to automatically document my learning journey. The agent uses Groq's Llama 3.3 for reasoning and Cohere embeddings for semantic understanding.