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RAGFlow MCP

by oraichain
GitHub
Python
Apache 2.0
9
  • Linux
  • Apple
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ragflow-mcp

Simple RAGFlow MCP. Only useful until the RAGFlow team releases the official MCP server

Installation

We provide two installation methods. Method 2 (using uv) is recommended for faster installation and better dependency management.

Method 1: Using conda

  1. Create a new conda environment:
conda create -n ragflow_mcp python=3.12 conda activate ragflow_mcp
  1. Clone the repository:
git clone https://github.com/oraichain/ragflow-mcp.git cd ragflow-mcp
  1. Install dependencies:
pip install -r requirements.txt
  1. Install uv (A fast Python package installer and resolver):
curl -LsSf https://astral.sh/uv/install.sh | sh
  1. Clone the repository:
git clone https://github.com/oraichain/ragflow-mcp.git cd ragflow-mcp
  1. Create a new virtual environment and activate it:
uv venv --python 3.12 source .venv/bin/activate # On Unix/macOS # Or on Windows: # .venv\Scripts\activate
  1. Install dependencies:
uv pip install -r pyproject.toml

Run MCP Server Inspector for debugging

  1. Start the MCP server
  2. Start the inspector using the following command:
# you can choose a different server SERVER_PORT=9000 npx @modelcontextprotocol/inspector

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

A simple temporary MCP server for RAGFlow that bridges the gap until an official version is released.

  1. Installation
    1. Method 1: Using conda
    2. Method 2: Using uv (Recommended)
  2. Run MCP Server Inspector for debugging
    1. you can choose a different server

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