How do I install dependencies?
Run `uv venv` to create a virtual environment, then `uv sync` to install the required packages.
@walidsi
基本信息
A simple MCP server that provides current weather and hourly weather forecasts for a given location using the Open-Meteo API.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"open_meteo_weather": {
"command": "uv",
"args": [
"--directory",
"path/to/openmeteo-weather-mcp/",
"run",
"openmeteo_weather/openmeteo_weather.py"
]
}
}
}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。
A simple MCP server that provides hourly weather forecasts using the Open-Meteo API. Designed for MCP-compatible AI applications.
Clone the repository, create a virtual environment with uv venv, and install dependencies with uv sync. Then configure an MCP client with the provided JSON snippet, setting the command to uv with the directory and script path.
uv and PythonRun `uv venv` to create a virtual environment, then `uv sync` to install the required packages.
Add the JSON configuration to your MCP client, specifying the `uv` command, the directory, and the script `openmeteo_weather/openmeteo_weather.py`.
It uses the Open-Meteo API for weather data.
Python and `uv` (a fast Python package manager) are required.
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