MCP server Deepseek R1

Local 2025-08-31 23:34:08 0

Developer Tools @66julienmartin/MCP-server-Deepseek_R1

A Node.js/TypeScript implementation of a Model Context Protocol server for the Deepseek R1 language model, optimized for reasoning tasks with a large context window and fully integrated with Claude Desktop.

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.

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

Create a .env file:
```
DEEPSEEK_API_KEY=your-api-key-here
```

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

[
  {
    "description": "Generate text using DeepSeek R1 model",
    "inputSchema": {
      "properties": {
        "max_tokens": {
          "description": "Maximum tokens to generate (default: 8192)",
          "maximum": 8192,
          "minimum": 1,
          "type": "number"
        },
        "prompt": {
          "description": "Input text for DeepSeek",
          "type": "string"
        },
        "temperature": {
          "description": "Sampling temperature (default: 0.2)",
          "maximum": 2,
          "minimum": 0,
          "type": "number"
        }
      },
      "required": [
        "prompt"
      ],
      "type": "object"
    },
    "name": "deepseek_r1"
  }
]