iflow-mcp_vincentf305-mcp-server-deepseek

# 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: ```bash git clone https://github.com/vincentf305/mcp-server-deepseek.git cd mcp-server-deepseek ``` 2. Install dependencies: ```bash 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: ```bash docker build -t mcp_server_deepseek . ``` 2. Run the container: ```bash docker run -d \ --name mcp-server-deepseek \ -p 8765:8765 \ -e DEEPSEEK_API_KEY=your_api_key_here \ mcp-server-deepseek ``` ### Running Locally ```bash 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): ```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" } } } } ``` 3. 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 [LICENSE](LICENSE) file for details