MCP ExplorerExplorer

66julienmartin Mcp Server Deepseek R1

@MCP-Mirroron a year ago
1 MIT
FreeCommunity
AI Systems
Mirror of https://github.com/66julienmartin/MCP-server-Deepseek_R1

Overview

What is 66julienmartin Mcp Server Deepseek R1

66julienmartin_MCP-server-Deepseek_R1 is an implementation of a Model Context Protocol (MCP) server designed for the Deepseek R1 language model, which is optimized for reasoning tasks and supports a context window of 8192 tokens.

Use cases

Use cases include coding assistance, data cleaning and analysis, general conversation, translation tasks, and creative writing such as poetry and storytelling.

How to use

To use 66julienmartin_MCP-server-Deepseek_R1, you can install it via Smithery using the command: npx -y @smithery/cli install @66julienmartin/mcp-server-deepseek_r1 --client claude. Alternatively, you can clone the repository, install dependencies, set up your environment, and run the server manually.

Key features

Key features include advanced text generation capabilities with a context window of 8192 tokens, configurable parameters for generation, robust error handling, full MCP protocol support, and integration with Claude Desktop.

Where to use

66julienmartin_MCP-server-Deepseek_R1 can be used in various fields such as natural language processing, AI-driven applications, chatbots, and any domain requiring advanced reasoning and text generation.

Content

Deepseek R1 MCP Server

smithery badge

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 via Smithery

To install Deepseek R1 for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @66julienmartin/mcp-server-deepseek_r1 --client claude

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

Tools

No tools

Comments

Recommend MCP Servers

View All MCP Servers