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Deepseek MCP Server

by vincentf305
GitHub
Python
MIT License
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Integrations

  • Enables running Deepseek language models within Docker containers for use with Claude Desktop

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

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

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

模型控制协议服务器实现，允许 Claude Desktop 使用在 Docker 中运行的 Deepseek 模型，实现 Claude Desktop 和 Deepseek 语言模型之间的无缝集成。

  1. 先决条件
    1. 安装
      1. 设置环境变量
        1. 运行服务器
          1. 使用 Docker
          2. 本地运行
        2. 与 Claude Desktop 一起使用
          1. 贡献
            1. 执照

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