MCP-RAG

MCP-RAG is an MCP server by GaoDalie. Langchain + MCP + RAG + Ollama = The Key To Powerful Agentic AI. It has 19 GitHub stars and ranks #796 of 1287 in Memory & Knowledge by stars.

Category: Memory & Knowledge
Author: GaoDalie
GitHub stars: 19
This week: Tracking since 24 Oct 2026
Language: Python
License: Not stated
Last update: 2025-06-16 (16 months ago)
Links: Source PyPI

How to install MCP-RAG

MCP-RAG is published on PyPI as iflow-mcp_gaodalie-mcp-rag, and it depends on mcp. These steps assume it runs as a local stdio server, which is the usual setup.

Check the README. Confirm the start command and note any API keys or environment variables it needs (pass them with -e KEY=value or an env block). You need uv for uvx.

Add it to Claude Code from a terminal:

claude mcp add MCP-RAG -- uvx iflow-mcp_gaodalie-mcp-rag

Or add it to Cursor or Claude Desktop in .cursor/mcp.json or claude_desktop_config.json:

{
  "mcpServers": {
    "MCP-RAG": {
      "command": "uvx",
      "args": [
        "iflow-mcp_gaodalie-mcp-rag"
      ]
    }
  }
}

Restart the client and check it. Run claude mcp list, or open the client's MCP settings, and confirm MCP-RAG and its tools are listed. The install guide covers VS Code and Codex.

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Frequently asked questions

What is MCP-RAG?

MCP-RAG is an MCP server by GaoDalie in the Memory & Knowledge category. Langchain + MCP + RAG + Ollama = The Key To Powerful Agentic AI. It has 19 GitHub stars and ranks #796 of 1287 in Memory & Knowledge by stars. It is written in Python. No license is stated. It was last updated 16 months ago.

Is MCP-RAG free and open source?

The listing has no license field, which usually means the repository does not declare one. Without a license the code is not open source by default, so ask the maintainer before reusing it. You can still read the code and the README at the source link.

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