
mcp_qwen
MCP client/server example using qwen3
Repository Info
About This Server
MCP client/server example using qwen3
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
MCP Qwen Project
Installation
Follow the steps below to set up the MCP Qwen project:
Prerequisites
- Python 3.11 or higher
pippackage manager- Access to OpenRouter API (API key required)
uvcommand-line tool installed
Steps
-
Clone the Repository:
git clone https://github.com/yourusername/mcp_qwen.git cd mcp_qwen -
Set Up a Virtual Environment (optional but recommended):
python3 -m venv venv source venv/bin/activate -
Install Dependencies: Run the following command to install the required Python packages:
pip install -r requirements.txt -
Install
uv: Install theuvcommand-line tool, which is required for MCP server commands:brew install uv -
Configure Environment Variables: Create a
.envfile in the project root and add your OpenRouter API key:OPENROUTER_API_KEY=your_api_key_hereTo obtain the API key:
- Visit OpenRouter and sign up for an account.
- Generate an API key from your account dashboard.
Run
To execute the project, run the following command:
python main.py
This will start the application and process the defined tasks using the Qwen agent.
Quick Start
Clone the repository
git clone https://github.com/tgohblio/mcp_qwenInstall dependencies
cd mcp_qwen
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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