Qwen Max

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.

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

To install Qwen Max MCP Server for Claude Desktop automatically viaSmithery:

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

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

// 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 Documentationhttps://www.alibabacloud.com/help/en/model-studio/getting-started/models?spm=a3c0i.23458820.2359477120.1.446c7d3f9LT0FY.

qwen-max-mcp/ ├── src/ │ ├── index.ts # Main server implementation ├── build/ # Compiled files │ ├── index.js ├── LICENSE ├── README.md ├── package.json ├── package-lock.json └── tsconfig.json

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

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

- 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

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

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

The server provides detailed error messages for common issues:

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

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

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