Skip to main content
Glama

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

A
license - permissive license
Not graded
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

View all related MCP servers

Related MCP Connectors

  • A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…

  • Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer

  • MCP server for AI dialogue using various LLM models via AceDataCloud

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vincentf305/mcp-server-deepseek'

If you have feedback or need assistance with the MCP directory API, please join our Discord server