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kamelirzouni/mcp-server-qwen_max

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24 stars 10 forks 品質 67 トレンド 10MIT

MCP server for Qwen Max model

概要

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

README

以下は原文 README の抜粋です。原文を見る。

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"
GitHub で README 全文を見る

インストール

npx -y @smithery/cli install @66julienmartin/mcp-server-qwen_max --client claude
MCP 初心者?mcpskill.org のガイドから始めましょう →

設定

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