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Deepseek R1 MCP Server

Deepseek R1 MCP Server

Local
github.com/66julienmartinAI & Agents68Updated 68w ago

About Deepseek R1 MCP Server

Deepseek R1 MCP Server is a Node.js and TypeScript MCP server that lets Claude Desktop call DeepSeek's R1 and V3 language models. It suits users who want DeepSeek reasoning models available inside Claude Desktop.

Key features

  1. 01Text generation through a deepseek_r1 tool
  2. 02Configurable max_tokens and temperature parameters
  3. 03Switch between DeepSeek-R1 and DeepSeek-V3 models
  4. 04Detailed error messages for common failures

Use cases

  1. 01Calling DeepSeek R1 for reasoning tasks from Claude Desktop
  2. 02Adjusting temperature for coding, data or creative tasks
  3. 03Comparing outputs of R1 and V3 for the same prompt

MCP support

Runs as an MCP server that exposes a deepseek_r1 tool to MCP clients such as Claude Desktop, which passes the prompt and generation parameters.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"MCP-server-Deepseek_R1": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MseeP.ai Security Assessment Badge

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 CASETEMPERATUREEXAMPLE
Coding / Math0.0Code generation, mathematical calculations
Data Cleaning / Data Analysis1.0Data processing tasks
General Conversation1.3Chat and dialogue
Translation1.3Language translation
Creative Writing / Poetry1.5Story 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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.