Project Case Study
MCP Learning Path Engine
Model Context Protocol engine that analyzes developer skill graphs, parses repository dependencies, and builds targeted learning paths.
Architecture
MCP protocol handlers ingest skill repositories, extract dependency graphs, and store vector embeddings in ChromaDB for context-aware path generation.
Technologies
- Python
- LangChain
- MCP Protocol
- FastAPI
- ChromaDB
Challenges
- Standardized MCP protocol context schemas across diverse developer skill trees.
- Optimized vector search reranking to generate deterministic step-by-step learning sequences.
Screenshots
