{"repo":"nonatofabio/local_faiss_mcp","free":true,"listed":false,"github":"https://github.com/nonatofabio/local_faiss_mcp","clone":"git clone https://github.com/nonatofabio/local_faiss_mcp.git","description":"Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.","language":"Python","stars":33,"topics":["ai-agents","ai-tools","faiss","llm-tools","local-rag","mcp-server","model-context-protocol","rag","semantic-search","vector-database"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Local FAISS MCP Server A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications. Features Core Capabilities - Local Vector Storage : Uses FAISS for efficient similarity search without external dependencies - Document Ingestion : Automatically chunks and embeds documents for storage - Semantic Search : Query documents using natural language with sentence embeddings - Persistent Storage : Indexes and metadata are saved to disk - MCP Compatible : Works with any MCP-compatible AI agent or client v0.2.0 Highlights - CLI Tool : local-faiss command for standalone indexing and search - Document Formats : Native PDF/TXT/MD support, DOCX/HTML/EPUB with pandoc - Re-ranking : Two-stage retrieve and rerank for better results - Custom Embeddings : Choose any Hugging Face embedding model - MCP Prompts : Built-in prompts for answer extraction and summarization Quickstart Or use with Claude Code - configure MCP client (see Configuration) and try: Claude will retrieve relevant document chunks from your vector store and use them to answer your question. Installation ⚡️ Upgrading? Run pip install --upgrade local-faiss-mcp From PyPI (Recommended) Optional: Extended Format Support For DOCX, HTML, EPUB, and 40+ additional formats, install pandoc: Note : PDF, TXT, and MD work without pandoc. From Source Usage Running the Server After installation, you can run the server in three ways: 1. Using the instal","default_branch":null,"files":null,"tree":[],"storefront":"/r/nonatofabio","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/nonatofabio/local_faiss_mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}