mcp-rag-server and mcp-ragchat

mcp-rag-server

Emerging

mcp-ragchat

Emerging

Maintenance 2/25

Adoption 7/25

Maturity 16/25

Community 13/25

Maintenance 10/25

Adoption 4/25

Maturity 10/25

Community 12/25

Stars: 25

Forks: 4

Downloads: —

Commits (30d): 0

Language: TypeScript

License: MIT

Stars: 1

Forks: 1

Downloads: 14

Commits (30d): 0

Language: TypeScript

License: —

Stale 6m No Package No Dependents

No License No Dependents

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.

About mcp-ragchat

gogabrielordonez/mcp-ragchat

MCP server that adds RAG-powered AI chat to any website. One command from Claude Code. Local vector store, multi-provider LLM (OpenAI/Anthropic/Gemini). Zero cloud dependency.

Related comparisons

mcp-rag-server and mcp-local-rag mcp-rag-server and mcp-local-rag mcp-rag-server and knowledge-to-action-mcp mcp-rag-server and repo-graphrag-mcp mcp-rag-server and supernova-mcp-rag mcp-rag-server and mcp-local-rag

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