npx mcpbar@latest edit -c claude

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

2. Clone the repository:

git clone https://github.com/oraichain/ragflow-mcp.git
cd ragflow-mcp

3. Install dependencies:

pip install -r requirements.txt

Method 2: Using uv (Recommended)

1. Install uv (A fast Python package installer and resolver):

curl -LsSf https://astral.sh/uv/install.sh | sh

2. Clone the repository:

git clone https://github.com/oraichain/ragflow-mcp.git
cd ragflow-mcp

3. 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

4. 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