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
基本信息
MCP Server for deepseek integration in Claude desktop
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-deepseek": {
"command": "docker",
"args": [
"build",
"-t",
"mcp_server_deepseek",
"."
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
Open-source MCP to use Blender with any LLM
Painless E2E Automation for Mobile and Web
评论