repo-graphrag-mcp and mcp-rag-server

About repo-graphrag-mcp

yumeiriowl/repo-graphrag-mcp

An MCP server that uses LightRAG and Tree-sitter to build a repository knowledge graph from code and docs, for Q&A and implementation planning.

About mcp-rag-server

kwanLeeFrmVi/mcp-rag-server

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.

Supports multiple embedding providers (OpenAI, Ollama, Granite, Nomic) with a SQLite-backed vector store, exposing indexing and retrieval operations as MCP tools and resources over stdio. Processes documents in five formats (.txt, .md, .json, .jsonl, .csv) with configurable chunking, enabling seamless integration into any MCP-compatible client or LLM application.