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Deepseek R1 MCP Server

@MCP-Mirror

代码仓库

基本信息

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其他

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作者

MCP-Mirror

关于 Deepseek R1 MCP Server

Mirror of

#mcp-server#deepseek#language-model

Deepseek R1 MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "66julienmartin_MCP-server-Deepseek_R1": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@66julienmartin/mcp-server-deepseek_r1",
        "--client",
        "claude"
      ]
    }
  }
}

Deepseek R1 MCP Server 工具

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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Deepseek R1 MCP Server?

A Model Context Protocol (MCP) server implementation for the Deepseek R1 language model, optimized for reasoning tasks with an 8192‑token context window. It integrates with Claude Desktop and supports both DeepSeek‑R1 and DeepSeek‑V3 models.

How to use Deepseek R1 MCP Server?

Install via Smithery (npx -y @smithery/cli install @66julienmartin/mcp-server-deepseek_r1 --client claude) or manually by cloning the repository, running npm install, setting up a .env file with your Deepseek API key, then building (npm run build). Configure Claude Desktop to point to the built index.js and set the DEEPSEEK_API_KEY environment variable.

Key features of Deepseek R1 MCP Server

  • Advanced text generation with 8192‑token context window.
  • Configurable parameters: max_tokens and temperature.
  • Robust error handling with detailed messages.
  • Full MCP protocol support.
  • Claude Desktop integration.
  • Supports both DeepSeek‑R1 and DeepSeek‑V3 models.

Use cases of Deepseek R1 MCP Server

  • Code generation and mathematical reasoning.
  • Data cleaning and data analysis.
  • General conversation and dialogue.
  • Language translation.
  • Creative writing and poetry.

常见问题

1

Which models are supported?

The server defaults to DeepSeek‑R1 (`deepseek-reasoner`). You can switch to DeepSeek‑V3 (`deepseek-chat`) by modifying the model name in `src/index.ts`.

2

What are the runtime requirements?

Node.js v18 or higher, npm, Claude Desktop, and a valid Deepseek API key.

3

How do I configure the API key?

Copy `.env.example` to `.env` and add your key as `DEEPSEEK_API_KEY=your-api-key-here`. Also set this environment variable in the Claude Desktop server configuration.

4

What does the `temperature` parameter do?

It controls randomness. Default is 0.2. Recommended values: 0.0 for coding/math, 1.0 for data analysis, 1.3 for general conversation/translation, 1.5 for creative writing.

5

What error messages can I expect?

The server provides detailed errors for API authentication failures, invalid parameters, rate limiting, and network issues.

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