MCP Qwen Project
@tgohblio
基本信息
关于 MCP Qwen Project
MCP client/server example using qwen3
MCP Qwen Project 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp_qwen": {
"command": "python3",
"args": [
"-m",
"venv",
"venv"
]
}
}
}MCP Qwen Project 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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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