How do I install dependencies?
Run `uv venv` to create a virtual environment, then `uv sync` to install the required packages.
@walidsi
基本情報
A simple MCP server that provides current weather and hourly weather forecasts for a given location using the Open-Meteo API.
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": {
"open_meteo_weather": {
"command": "uv",
"args": [
"--directory",
"path/to/openmeteo-weather-mcp/",
"run",
"openmeteo_weather/openmeteo_weather.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
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。
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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