What is Mcp Server Qwen Max

MCP-server-Qwen_Max is an implementation of a Model Context Protocol (MCP) server specifically designed for the Qwen Max language model, utilizing Node.js and TypeScript for optimal performance and compatibility.

Use cases

Use cases for MCP-server-Qwen_Max include generating text for creative writing, technical documentation, code generation, and any task requiring advanced natural language processing capabilities.

How to use

To use MCP-server-Qwen_Max, install it via Smithery with the command ‘npx -y @smithery/cli install @66julienmartin/mcp-server-qwen_max --client claude’ or manually clone the repository and run ‘npm install’. Configure the server by creating a .env file with your API key and updating the Claude Desktop configuration.

Key features

Key features include text generation with Qwen models, configurable parameters (max_tokens, temperature), error handling, MCP protocol support, integration with Claude Desktop, and support for various Qwen commercial models (Max, Plus, Turbo) with extensive token context windows.

Where to use

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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