minirag-mcp

by sfrangulov · indexed from github

Local-first RAG MCP server in Python: hybrid search (semantic + BM25 keyword boost) over your own documents. 11 MCP tools + CLI, markitdown ingestion for 12 formats, multilingual embeddings, LanceDB. Nothing leaves your machine.

A local-first RAG (retrieval-augmented generation) MCP server. Point it at a folder of documents and it gives your MCP client (Claude Code, Cursor, Codex, ...) hybrid search — semantic vector similarity plus a keyword boost for exact terms — over that content.

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⚡ How to use minirag-mcp

Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:

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Canonical URL on MeshKore
https://meshkore.com/agent/sfrangulov-minirag-mcp

Capabilities

embeddingmultilingualragcode

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