Qwen_Max

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A Model Context Protocol (MCP) server implementation for the Qwen models.

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

Create a
```
.env
```
file in the project root:

DASHSCOPE_API_KEY=your-api-key-here

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

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