Deepseek R1 MCP Server

@MCP-Mirror

Repository

Basic information

About Deepseek R1 MCP Server

Mirror of

#mcp-server #deepseek#language-model

Deepseek R1 MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Deepseek R1 MCP Server tools

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Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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.

Frequently asked questions

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`.

What are the runtime requirements?

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

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.

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.

What error messages can I expect?

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

Comments

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