mcp-server-deepseek

mcp-server-deepseek

3
cloud_platformsdeveloper_tools

This project implements an MCP server to integrate Deepseek models with Claude Desktop. It uses Docker and Python, providing flexibility in operation either via Docker containers or locally, and it requires configuration in Claude Desktop for full integration.

MCP Server for Deepseek Integration

This repository contains a Model Control Protocol (MCP) server implementation that allows Claude Desktop to use Deepseek models running in Docker.

Prerequisites

  • Docker
  • Python 3.11 or later
  • A Deepseek API key
  • Claude Desktop

Installation

  1. Clone the repository:
git clone https://github.com/vincentf305/mcp-server-deepseek.git
cd mcp-server-deepseek
  1. Install dependencies:
pip install -r requirements.txt

Setup Environment Variables

Create a .env file in the root directory of the project and add the following environment variable:

DEEPSEEK_API_KEY=your_api_key_here

Make sure to replace your_api_key_here with your actual Deepseek API key.

Running the Server

Using Docker

  1. Build the Docker image:
docker build -t mcp_server_deepseek .
  1. Run the container:
docker run -d \
  --name mcp-server-deepseek \
  -p 8765:8765 \
  -e DEEPSEEK_API_KEY=your_api_key_here \
  mcp-server-deepseek

Running Locally

python -m mcp_server_deepseek.server

Usage with Claude Desktop

  1. Ensure you have a Deepseek API key

  2. Add the following to your Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "deepseek-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DEEPSEEK_API_KEY",
        "mcp_server_deepseek"
      ],
      "env": {
        "DEEPSEEK_API_KEY": "your_api_key_here"
      }
    }
  }
}
  1. Restart Claude Desktop to load the new configuration

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Create a Pull Request

License

MIT License - see the file for details