What Python version is required?
Python 3.12 or higher is required.
@xiaoye-hua
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp_server_client_example": {
"command": "uv",
"args": [
"venv"
]
}
}
}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。
MCP Client & Server Example is a reference implementation of a Model Context Protocol (MCP) client and server that provides weather data using the National Weather Service API and integrates with Claude AI. It is intended for developers learning MCP or building AI-powered weather tools.
Clone the repository, install uv (Python package installer), create a virtual environment, install dependencies with uv pip install -e ., copy .env.example to .env, paste your Anthropic API key, then run the server or client scripts (e.g., weather_server.py, client_example.py).
uv based.env for API keyPython 3.12 or higher is required.
`uv` (Python package installer) and an Anthropic API key stored in a `.env` file.
Clone the repository, run `uv venv` to create a virtual environment, activate it, then run `uv pip install -e .` to install all dependencies.
The server uses the National Weather Service API to provide weather data.
It includes `weather_server.py` (MCP server), `client_example.py` (interactive client with Claude), and `weather_example.py` (example using the National Weather Service).
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