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.
@vincentf305
Basic information
MCP Server for deepseek integration in Claude desktop
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-deepseek": {
"command": "docker",
"args": [
"build",
"-t",
"mcp_server_deepseek",
"."
]
}
}
}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.
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.
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.
It enables Claude Desktop to use Deepseek models by providing an MCP-compatible interface that communicates with models running in Docker.
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.
Yes, you can run it locally using the command `python -m mcp_server_deepseek.server`.
You need Docker, Python 3.11 or later, a Deepseek API key, and Claude Desktop installed.
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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