MCP Local RAG
Local RAG for developers via MCP or CLI. Semantic search with keyword boost for exact technical terms — fully private, zero setup.
Features
Semantic search with keyword boost Vector search first, then keyword matching boosts exact matches. Terms like
useEffect, error codes, and class names rank higher—not just semantically guessed.Smart semantic chunking Chunks documents by meaning, not character count. Uses embedding similarity to find natural topic boundaries—keeping related content together and splitting where topics change.
Quality-first result filtering Groups results by relevance gaps instead of arbitrary top-K cutoffs. Get fewer but more trustworthy chunks.
Runs entirely locally No API keys, no cloud, no data leaving your machine. Works fully offline after the first model download.
Zero-friction setup One
npxcommand. No Docker, no Python, no servers to manage. Use via MCP, CLI, or both. Optional Agent Skills help AI assistants form better queries and interpret results.
