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MCP Server for Deepseek Integration

@vincentf305

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

vincentf305

About MCP Server for Deepseek Integration

MCP Server for deepseek integration in Claude desktop

#mcp-server#deepseek#integration

MCP Server for Deepseek Integration config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-deepseek": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp_server_deepseek",
        "."
      ]
    }
  }
}

MCP Server for Deepseek Integration tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Server for Deepseek Integration?

It is a Model Control Protocol (MCP) server implementation that allows Claude Desktop to use Deepseek models running in Docker, designed for users with a Deepseek API key.

How to use MCP Server for Deepseek Integration?

Install the server, set the DEEPSEEK_API_KEY environment variable via a .env file or directly, then run it using Docker (build image, run container) or locally (python -m mcp_server_deepseek.server). Configure Claude Desktop by adding the server’s configuration to its claude_desktop_config.json file and restarting the app.

Key features of MCP Server for Deepseek Integration

  • Integrates Deepseek models with Claude Desktop via MCP
  • Supports Docker and local execution modes
  • Requires only a Deepseek API key for authentication
  • Simple configuration through environment variables
  • Compatible with Python 3.11 and later

Use cases of MCP Server for Deepseek Integration

  • Running Deepseek models through the Claude Desktop interface
  • Accessing advanced AI capabilities via the MCP protocol
  • Deploying Deepseek in containerized, reproducible environments

Frequently asked questions

1

What is the purpose of this MCP server?

It enables Claude Desktop to use Deepseek models by providing an MCP-compatible interface that communicates with models running in Docker.

2

How do I set up the Deepseek API key?

Create a `.env` file with `DEEPSEEK_API_KEY=your_api_key_here`, or set the environment variable when running the Docker container with the `-e DEEPSEEK_API_KEY` flag.

3

Can I run the server without Docker?

Yes, you can run it locally using the command `python -m mcp_server_deepseek.server`.

4

What are the system requirements?

You need Docker, Python 3.11 or later, a Deepseek API key, and Claude Desktop installed.

5

How do I configure Claude Desktop to use this server?

Add the provided JSON configuration block for `deepseek-server` to your `claude_desktop_config.json` file, specifying the Docker run command and API key, then restart Claude Desktop.

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