{"repo":"kwanLeeFrmVi/mcp-rag-server","free":true,"listed":false,"github":"https://github.com/kwanLeeFrmVi/mcp-rag-server","clone":"git clone https://github.com/kwanLeeFrmVi/mcp-rag-server.git","description":"mcp-rag-server is a Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) capabilities. It empowers Large Language Models (LLMs) to answer questions based on your document content by indexing and retrieving relevant information efficiently.","language":"TypeScript","stars":36,"topics":["mcp-server","rag"],"license":"MIT","category":"mcp-servers","readme_excerpt":"mcp-rag-server A Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG). It indexes your documents and serves relevant context to Large Language Models via the MCP protocol. Integration Examples Generic MCP Client Configuration Example Interaction Table of Contents - Integration Examples - Features - Installation - Quick Start - Configuration - Usage - MCP Tools - MCP Resources - How RAG Works - Development - Contributing - License Features - Index documents in .txt , .md , .json , .jsonl , and .csv formats - Customizable chunk size for splitting text - Local vector store powered by SQLite (via LangChain's LibSQLVectorStore) - Supports multiple embedding providers (OpenAI, Ollama, Granite, Nomic) - Exposes MCP tools and resources over stdio for seamless integration with MCP clients Installation From npm From Source Quick Start 💡 Tip: We recommend using Ollama for embedding. Install and pull the nomic-embed-text model: Configuration Variable Description Default ------------------- ------------------------------------------------ --------------------------------- BASE LLM API Base URL for embedding API http://localhost:11434/v1 LLM API KEY API key for your LLM provider (empty) EMBEDDING MODEL Embedding model identifier nomic-embed-text VECTOR STORE PATH Directory for local vector store ./vector store CHUNK SIZE Characters per text chunk (number) 500 💡 Recommendation: Use Ollama embedding models like nomic-embed-text for best performance. Usage M","default_branch":null,"files":null,"tree":[],"storefront":"/r/kwanLeeFrmVi","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/kwanLeeFrmVi/mcp-rag-server/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."}