MCP server for RAG (Retrieval-Augmented Generation) operations with local document indexing
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# RAG MCP Server <div align="center"> <h1>RAG MCP Server</h1> <p> <a href="https://pypi.org/project/rag-mcp-server/"><img src="https://img.shields.io/pypi/v/rag-mcp-server" alt="PyPI"></a> <a href="LICENSE"><img src="https://img.shields.io/github/license/yourusername/rag-mcp-server" alt="License"></a> </p> </div> A Model Context Protocol (MCP) server for Retrieval-Augmented Generation (RAG) operations. This server provides tools for building and querying vector-based knowledge bases from document collections, enabling semantic search and document retrieval capabilities. - [Features](#features) - [Architecture](#architecture) - [Installation](#installation) - [Setup](#setup) - [Find the MCP settings file for the client](#find-the-mcp-settings-file-for-the-client) - [Claude Desktop](#claude-desktop) - [Claude Code](#claude-code) - [Cursor](#cursor) - [Cline](#cline) - [Windsurf](#windsurf) - [Any other client](#any-other-client) - [Set up the MCP server](#set-up-the-mcp-server) - [Variant: Manual setup with uvx](#variant-manual-setup-with-uvx) - [Usage Examples](#usage-examples) - [Sample LLM Queries](#sample-llm-queries) - [Command Line Examples](#command-line-examples) - [MCP Tools](#mcp-tools) - [Technical Details](#technical-details) - [Configuration Examples](#configuration-examples) - [Troubleshooting](#troubleshooting) - [Contributing](#contributing) - [License](#license) ## Features - **Document Processing**: Supports multiple file formats (.txt, .pdf) with automatic text extraction - **Intelligent Chunking**: Configurable text chunking with overlap to preserve context - **Vector Embeddings**: Uses SentenceTransformers for high-quality text embeddings - **Semantic Search**: FAISS-powered similarity search for fast and accurate retrieval - **Incremental Updates**: Smart document tracking to only process new or changed files - **Persistent Storage**: SQLite-based docu…
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