Local Faiss MCP

Local Faiss MCP

Local vector store & RAG server using FAISS, for semantic search and RAG.

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About Local Faiss MCP

Local Faiss MCP is an open-source Model Context Protocol (MCP) server providing local vector database capabilities based on Facebook's FAISS for high-performance similarity search, document ingestion, and semantic search. Designed for Retrieval-Augmented Generation (RAG) scenarios, it supports native and extended document formats, custom embedding models, re-ranking, and seamless integration with MCP-compatible AI agents such as Claude Code. It is ideal for developers and researchers who want to build or augment RAG pipelines on their own infrastructure with privacy and local processing in mind.

Pricing Plans
Open Source (MIT License)
$0

Resources

Product Website

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Documentation

Comprehensive guide on how to install, configure, and use Local Faiss MCP.

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Usage Examples

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