Integrations
Enables running Deepseek language models within Docker containers for use with Claude Desktop
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
- Clone the repository:
- Install dependencies:
Setup Environment Variables
Create a .env
file in the root directory of the project and add the following environment variable:
Make sure to replace your_api_key_here
with your actual Deepseek API key.
Running the Server
Using Docker
- Build the Docker image:
- Run the container:
Running Locally
Usage with Claude Desktop
- Ensure you have a Deepseek API key
- Add the following to your Claude Desktop configuration (claude_desktop_config.json):
- Restart Claude Desktop to load the new configuration
Contributing
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature
) - Commit your changes (
git commit -m 'Add some amazing feature'
) - Push to the branch (
git push origin feature/amazing-feature
) - Create a Pull Request
License
MIT License - see the LICENSE file for details
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Model Control Protocol server implementation that allows Claude Desktop to use Deepseek models running in Docker, enabling seamless integration between Claude Desktop and Deepseek's language models.
- Prerequisites
- Installation
- Setup Environment Variables
- Running the Server
- Usage with Claude Desktop
- Contributing
- License
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