MCP Qwen Project
@tgohblio
Basic information
About MCP Qwen Project
MCP client/server example using qwen3
MCP Qwen Project config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp_qwen": {
"command": "python3",
"args": [
"-m",
"venv",
"venv"
]
}
}
}MCP Qwen Project tools
Tool list not available yet
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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
uvcommand-line tool for MCP server commands. - Environment variables configured through a
.envfile. - Easy dependency management with
pipandrequirements.txt. - Processes user-defined tasks with the Qwen agent.
Use cases of MCP Qwen Project
—
FAQ from MCP Qwen Project
—
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