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Weather Information Service MCP Server

@asifdotpy

リポジトリ

基本情報

カテゴリ

メディアとデザイン

トランスポート

stdio

作者

asifdotpy

Weather Information Service MCP Server について

概要はまだありません

Weather Information Service MCP Server の設定

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-weather-server-asifdotpy": {
      "command": "python",
      "args": [
        "weather.py"
      ]
    }
  }
}

Weather Information Service MCP Server のツール

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。

概要

What is Weather Information Service?

It fetches weather alerts and forecasts from the National Weather Service (NWS) API, exposing them as tools via the FastMCP framework. It is intended for developers who need to integrate real-time US weather data into their applications.

How to use Weather Information Service?

Install dependencies (e.g., pip install httpx), then run python weather.py to start the FastMCP server. Use the provided tools get_alerts(state) for active alerts and get_forecast(latitude, longitude) for a 5-period forecast.

Key features of Weather Information Service

  • Fetches active weather alerts for any US state.
  • Retrieves a 5-period weather forecast for a location.
  • Uses structured JSON logging with correlation IDs.
  • Configurable log level and environment variables.
  • Containerizable via the included Dockerfile.

Use cases of Weather Information Service

  • Integrate live weather alerts into a monitoring dashboard.
  • Provide forecast data for travel or event planning.
  • Automate weather-aware notifications in smart home systems.

よくある質問

1

What data source does the service use?

It uses the National Weather Service (NWS) API to fetch alerts and forecasts.

2

How do I run the service?

Run `python weather.py` directly. The service starts a FastMCP server that listens for requests (e.g., via stdio as configured in `smithery.yaml`).

3

What are the runtime dependencies?

Python 3.x and the `httpx` library. Other dependencies are listed in `pyproject.toml` and can be installed with `pip install .`.

4

How can I configure logging?

Set the `ENV` environment variable to `production` for JSON logs, or leave it unset for human‑readable output. Use `LOG_LEVEL`, `APP_VERSION`, and `HOSTNAME` to control verbosity, version, and hostname in logs.

5

What tools does the service expose?

Two tools: `get_alerts(state)` returns active alerts for a US state, and `get_forecast(latitude, longitude)` returns the next five forecast periods for a location.

コメント

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