MCP Qwen Project

Name: MCP Qwen Project
Author: tgohblio

@tgohblio

Repository

About MCP Qwen Project

MCP client/server example using qwen3

#mcp-qwen #client-server #python

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp_qwen": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Qwen Project?

The MCP Qwen Project is an MCP server that uses Qwen language models via the OpenRouter API. It processes user-defined tasks using a Qwen agent, requiring Python 3.11+, a valid OpenRouter API key, and the uv command-line tool. The server is primarily aimed at developers integrating AI agent capabilities into their applications.

How to use MCP Qwen Project?

Clone the repository, then set up a virtual environment and install dependencies with pip install -r requirements.txt. Install the uv command-line tool (required for MCP server commands) and create a .env file with your OpenRouter API key. Finally, run python main.py to start the server and process tasks using the Qwen agent.

Key features of MCP Qwen Project

Integrates Qwen language models via the OpenRouter API.
Requires Python 3.11 or higher for execution.
Uses the uv command-line tool for MCP server commands.
Environment variables configured through a .env file.
Easy dependency management with pip and requirements.txt.
Processes user-defined tasks with the Qwen agent.

Use cases of MCP Qwen Project

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FAQ from MCP Qwen Project

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Comments

Basic information

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