nonatofabio/local_faiss_mcp

Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.

55
/ 100
Established

This tool helps AI agents or copilots find answers from your own documents, like PDFs, text files, or even HTML. You feed it various documents, and it turns them into a searchable memory that AI can query using natural language. The output is relevant document excerpts or summarized answers, making it useful for anyone managing information that an AI needs to understand and reference.

Available on PyPI.

Use this if you need an AI agent or copilot (like Claude or a similar tool) to access and retrieve information from a local collection of documents for tasks like answering questions or summarizing content.

Not ideal if you don't use AI agents or copilots and only need a basic keyword search tool for your documents.

AI-assistant document-management information-retrieval knowledge-base semantic-search
Maintenance 10 / 25
Adoption 6 / 25
Maturity 22 / 25
Community 17 / 25

How are scores calculated?

Stars

23

Forks

9

Language

Python

License

MIT

Last pushed

Mar 08, 2026

Commits (30d)

0

Dependencies

7

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curl "https://pt-edge.onrender.com/api/v1/quality/mcp/nonatofabio/local_faiss_mcp"

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