Qwen Max MCP Server
by
Provides a Model Context Protocol server for the Qwen Max language model, enabling seamless integration with Claude Desktop and other MCP‑compatible clients.
Qwen Max MCP Server Overview
What is Qwen Max MCP Server about?
A server implementation that exposes Qwen series language models (Max, Plus, Turbo) through the Model Context Protocol, allowing Claude Desktop and other tools to perform text generation, configure parameters, and handle errors via a standard MCP interface.
How to use Qwen Max MCP Server?
- Installation – install the server via Smithery (recommended) or manually:
or:npx -y @smithery/cli install @66julienmartin/mcp-server-qwen_max --client claudegit clone https://github.com/66julienmartin/mcp-server-qwen-max.git cd Qwen_Max npm install - Configure – create a
.envfile with your Dashscope API key:
Add the server entry to Claude Desktop configuration, pointing to the compiledDASHSCOPE_API_KEY=your-api-key-hereindex.js(or use the npx command shown in theserverConfig). - Run – start the server:
npm run start # or use npx as configured - Call the model – use the MCP tool call format:
{ "name": "qwen_max", "arguments": { "prompt": "Your prompt here", "max_tokens": 8192, "temperature": 0.7 } }
Key features of Qwen Max MCP Server
- Support for all Qwen commercial models (Max, Plus, Turbo) with easy model switching in
src/index.ts. - Configurable generation parameters such as
max_tokensandtemperature. - Robust error handling for authentication, rate limits, token limits, and network issues.
- Fully typed TypeScript implementation for strong type safety.
- Direct compatibility with Claude Desktop via MCP.
- Large context windows up to 1,000,000 tokens for Turbo model.
Use cases of Qwen Max MCP Server
- Integrating high‑performance Qwen Max model into Claude Desktop workflows.
- Building custom AI assistants that require large context windows.
- Experimenting with different Qwen model tiers (Max, Plus, Turbo) for cost‑performance trade‑offs.
- Developing internal tools for code generation, technical writing, or creative content creation.
FAQ from the Qwen Max MCP Server
Q: Which Node.js version is required? A: Node.js v18 or higher.
Q: How do I switch to a different Qwen model?
A: Edit the model field in src/index.ts to qwen-plus or qwen-turbo.
Q: Where do I obtain a Dashscope API key? A: Sign up on Alibaba Cloud Dashscope and generate an API key from the console.
Q: What environment variable is needed?
A: DASHSCOPE_API_KEY must be set in the .env file or the MCP server configuration.
Q: Can I run the server in watch mode during development?
A: Yes, use npm run dev which recompiles on file changes.
Q: Is the server open source? A: Yes, it is licensed under the MIT license.
Qwen Max MCP Server's README
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: 0.0064/1K 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: 0.0012/1K 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: 0.0002/1K 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
.envfile 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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Qwen Max MCP Server's Information
- Author
- 66julienmartin
- Category
- AI Model
- Language
- JavaScript
- License
- MIT License
- Version
- v1.0.0
- Stars
- 21
- Updated
- 16 days ago
Configuration
{
"mcpServers": {
"qwen_max": {
"command": "npx",
"args": [
"-y",
"@66julienmartin/mcp-server-qwen_max"
],
"env": {
"DASHSCOPE_API_KEY": "<YOUR_API_KEY>"
}
}
}
}Configure Clients
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