What is Qwen Max

The Qwen Max MCP Server is a server implementation for the Qwen Max language model designed to facilitate text generation tasks using the Model Context Protocol (MCP). It is built using Node.js and TypeScript, providing a reliable integration with Claude Desktop.

Use cases

This server is ideal for various text generation tasks, ranging from complex problem-solving and technical writing to creative writing and simple queries. It can support applications requiring high-performance inference and provides users with different model options tailored to specific needs.

How to use

To use the Qwen Max MCP Server, install it via Smithery or manually by cloning the repository and installing dependencies. After configuring environment variables and updating the Claude Desktop settings, you can start the server and make API calls with prompts, specifying parameters like max tokens and temperature.

Key features

Key features include support for multiple Qwen models (Max, Plus, Turbo), extensive token context windows, customizable configuration parameters such as max_tokens and temperature, detailed error handling, and integration with Claude Desktop for streamlined deployment.

Where to use

The Qwen Max MCP Server can be deployed in environments where complex text generation is needed, such as software development, research, content creation, and other applications that involve natural language processing. It can be used alongside Claude Desktop to provide users with a robust text generation interface.

Qwen Max MCP Server

A Model Context Protocol (MCP) server implementation for the Qwen Max language model.

Why Node.js?
This implementation uses Node.js/TypeScript as it currently provides the most stable and reliable integration
with MCP servers compared to other languages like Python. The Node.js SDK for MCP offers better type safety,
error handling, and compatibility with Claude Desktop.

Prerequisites

• Node.js (v18 or higher)
• npm
• Claude Desktop
• Dashscope API key

Installation

Installing via Smithery

To install Qwen Max MCP Server for Claude Desktop automatically via Smithery:

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

Manual Installation

git clone https://github.com/66julienmartin/mcp-server-qwen-max.git
cd Qwen_Max
npm install

Model Selection

By default, this server uses the Qwen-Max model.
The Qwen series offers several commercial models with different capabilities:

Qwen-Max

Provides the best inference performance, especially for complex and multi-step tasks.

Context window: 32,768 tokens

• Max input: 30,720 tokens
• Max output: 8,192 tokens
• Pricing: $0.0016/1K tokens (input), $0.0064/1K tokens (output)
• Free quota: 1 million tokens

Available versions:

• qwen-max (Stable)
• qwen-max-latest (Latest)
• qwen-max-2025-01-25 (Snapshot, also known as qwen-max-0125 or Qwen2.5-Max)

Qwen-Plus

Balanced combination of performance, speed, and cost, ideal for moderately complex tasks.

Context window: 131,072 tokens

• Max input: 129,024 tokens
• Max output: 8,192 tokens
• Pricing: $0.0004/1K tokens (input), $0.0012/1K tokens (output)
• Free quota: 1 million tokens

Available versions:

• qwen-plus (Stable)
• qwen-plus-latest (Latest)
• qwen-plus-2025-01-25 (Snapshot, also known as qwen-plus-0125)

Qwen-Turbo

Fast speed and low cost, suitable for simple tasks.

• Context window: 1,000,000 tokens
• Max input: 1,000,000 tokens
• Max output: 8,192 tokens
• Pricing: $0.00005/1K tokens (input), $0.0002/1K tokens (output)
• Free quota: 1 million tokens

Available versions:

• qwen-turbo (Stable)
• qwen-turbo-latest (Latest)
• qwen-turbo-2024-11-01 (Snapshot, also known as qwen-turbo-1101)

To modify the model, update the model name in src/index.ts:

// For Qwen-Max (default)
model: "qwen-max"

// For Qwen-Plus
model: "qwen-plus"

// For Qwen-Turbo
model: "qwen-turbo"

For more detailed information about available models, visit the Alibaba Cloud Model Documentation https://www.alibabacloud.com/help/en/model-studio/getting-started/models?spm=a3c0i.23458820.2359477120.1.446c7d3f9LT0FY.

Project Structure

qwen-max-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 in the project root:

DASHSCOPE_API_KEY=your-api-key-here

2. Update Claude Desktop configuration:

{
  "mcpServers": {
    "qwen_max": {
      "command": "node",
      "args": [
        "/path/to/Qwen_Max/build/index.js"
      ],
      "env": {
        "DASHSCOPE_API_KEY": "your-api-key-here"
      }
    }
  }
}

Development

npm run dev     # Watch mode
npm run build   # Build
npm run start   # Start server

Features

• Text generation with Qwen models
• Configurable parameters (max_tokens, temperature)
• Error handling
• MCP protocol support
• Claude Desktop integration
• Support for all Qwen commercial models (Max, Plus, Turbo)
• Extensive token context windows

API Usage

// Example tool call
{
  "name": "qwen_max",
  "arguments": {
    "prompt": "Your prompt here",
    "max_tokens": 8192,
    "temperature": 0.7
  }
}

The Temperature Parameter

The temperature parameter controls the randomness of the model’s output:

Lower values (0.0-0.7): More focused and deterministic outputs
Higher values (0.7-1.0): More creative and varied outputs

Recommended temperature settings by task:

Code generation: 0.0-0.3
Technical writing: 0.3-0.5
General tasks: 0.7 (default)
Creative writing: 0.8-1.0

Error Handling

The server provides detailed error messages for common issues:

API authentication errors
Invalid parameters
Rate limiting
Network issues
Token limit exceeded
Model availability issues

Contributing

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

License

MIT