MCP Qwen Project
@tgohblio
MCP Qwen Project について
MCP client/server example using qwen3
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp_qwen": {
"command": "python3",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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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