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用于 Deepseek 集成的 MCP 服务器

该存储库包含一个模型控制协议 (MCP) 服务器实现,允许 Claude Desktop 使用在 Docker 中运行的 Deepseek 模型。

先决条件

  • Docker

  • Python 3.11 或更高版本

  • Deepseek API 密钥

  • 克劳德桌面

Related MCP server: Deepseek R1 MCP Server

安装

  1. 克隆存储库:

git clone https://github.com/vincentf305/mcp-server-deepseek.git
cd mcp-server-deepseek
  1. 安装依赖项:

pip install -r requirements.txt

设置环境变量

在项目根目录下创建.env文件,并添加以下环境变量:

DEEPSEEK_API_KEY=your_api_key_here

确保将your_api_key_here替换为您的实际 Deepseek API 密钥。

运行服务器

使用 Docker

  1. 构建 Docker 镜像:

docker build -t mcp_server_deepseek .
  1. 运行容器:

docker run -d \
  --name mcp-server-deepseek \
  -p 8765:8765 \
  -e DEEPSEEK_API_KEY=your_api_key_here \
  mcp-server-deepseek

本地运行

python -m mcp_server_deepseek.server

与 Claude Desktop 一起使用

  1. 确保您拥有 Deepseek API 密钥

  2. 将以下内容添加到您的 Claude Desktop 配置(claude_desktop_config.json)中:

{
  "mcpServers": {
    "deepseek-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DEEPSEEK_API_KEY",
        "mcp_server_deepseek"
      ],
      "env": {
        "DEEPSEEK_API_KEY": "your_api_key_here"
      }
    }
  }
}
  1. 重新启动 Claude Desktop 以加载新配置

贡献

  1. 分叉存储库

  2. 创建你的功能分支( git checkout -b feature/amazing-feature )

  3. 提交您的更改( git commit -m 'Add some amazing feature' )

  4. 推送到分支( git push origin feature/amazing-feature )

  5. 创建拉取请求

执照

MIT 许可证 - 详情请参阅许可证文件

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