MCP-server-Deepseek_R1

The Deepseek R1 MCP server is an implementation for a language model optimized for reasoning tasks with a context window of 8192 tokens. Built using Node.js and TypeScript, it offers stable integration with MCP servers, enhanced error handling, and type safety, ensuring compatibility with Claude Desktop.

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README
Deepseek R1 MCP Server

A Model Context Protocol (MCP) server implementation for the Deepseek R1 language model. Deepseek R1 is a powerful language model optimized for reasoning tasks with a context window of 8192 tokens.

Why Node.js? This implementation uses Node.js/TypeScript as it provides the most stable integration with MCP servers. The Node.js SDK offers better type safety, error handling, and compatibility with Claude Desktop.

Deepseek R1 Server MCP server

Quick Start
Installing manually
# Clone and install
git clone https://github.com/66julienmartin/MCP-server-Deepseek_R1.git
cd deepseek-r1-mcp
npm install

# Set up environment
cp .env.example .env  # Then add your API key

# Build and run
npm run build
Prerequisites
  • Node.js (v18 or higher)
  • npm
  • Claude Desktop
  • Deepseek API key
Model Selection

By default, this server uses the deepseek-R1 model. If you want to use DeepSeek-V3 instead, modify the model name in src/index.ts:

// For DeepSeek-R1 (default)
model: "deepseek-reasoner"

// For DeepSeek-V3
model: "deepseek-chat"
Project Structure
deepseek-r1-mcp/
├── src/
│   ├── index.ts             # Main server implementation
├── build/                   # Compiled files
│   ├── index.js
├── LICENSE
├── README.md
├── package.json
├── package-lock.json
└── tsconfig.json
Configuration
  1. Create a .env file:
DEEPSEEK_API_KEY=your-api-key-here
  1. Update Claude Desktop configuration:
{
  "mcpServers": {
    "deepseek_r1": {
      "command": "node",
      "args": ["/path/to/deepseek-r1-mcp/build/index.js"],
      "env": {
        "DEEPSEEK_API_KEY": "your-api-key"
      }
    }
  }
}
Development
npm run dev     # Watch mode
npm run build   # Build for production
Features
  • Advanced text generation with Deepseek R1 (8192 token context window)
  • Configurable parameters (max_tokens, temperature)
  • Robust error handling with detailed error messages
  • Full MCP protocol support
  • Claude Desktop integration
  • Support for both DeepSeek-R1 and DeepSeek-V3 models
API Usage
{
  "name": "deepseek_r1",
  "arguments": {
    "prompt": "Your prompt here",
    "max_tokens": 8192,    // Maximum tokens to generate
    "temperature": 0.2     // Controls randomness
  }
}
The Temperature Parameter

The default value of temperature is 0.2.

Deepseek recommends setting the temperature according to your specific use case:

USE CASE TEMPERATURE EXAMPLE
Coding / Math 0.0 Code generation, mathematical calculations
Data Cleaning / Data Analysis 1.0 Data processing tasks
General Conversation 1.3 Chat and dialogue
Translation 1.3 Language translation
Creative Writing / Poetry 1.5 Story writing, poetry generation
Error Handling

The server provides detailed error messages for common issues:

  • API authentication errors
  • Invalid parameters
  • Rate limiting
  • Network issues
Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT

Author Information
Kamel IRZOUNI

AI Consultant & PhD Degree in Strategic Innovation

K&S Consulting France

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