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Weather MCP Server

@bittush8789

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

bittush8789

Weather MCP Server について

Creating MCP (Model Context Protocol) weather-related projects involves setting up an MCP server that can fetch and provide weather data.

#weather#mcp#weather-server

Weather 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-bittush8789": {
      "command": "uv",
      "args": [
        "run",
        "weather.py"
      ]
    }
  }
}

Weather 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 MCP Server?

The Weather MCP Server fetches weather data from the National Weather Service API. It provides two tools: get_alerts for active weather alerts in a US state and get_forecast for a short-term forecast at a given latitude/longitude. It is intended for developers using the Model Context Protocol (MCP) framework.

How to use Weather MCP Server?

Install dependencies using uv add mcp[cli] httpx requests, then run the server with uv run weather.py. The server communicates via standard I/O. For MCP client integration, add a configuration entry to your config.json specifying the path to uv and the project directory.

Key features of Weather MCP Server

  • get_alerts(state) returns active weather alerts for a US state.
  • get_forecast(latitude, longitude) returns a short-term forecast.
  • Leverages the National Weather Service API.
  • Requires Python 3.7+ and the httpx library.
  • Uses standard I/O for transport.

Use cases of Weather MCP Server

  • Checking severe weather alerts for a specific US state.
  • Obtaining a short-term weather forecast for a coordinate location.
  • Integrating live weather data into any MCP‑compatible client.

よくある質問

1

What data source does the server use?

It fetches weather data from the National Weather Service API.

2

What tools are available?

The server offers `get_alerts(state)` for alerts and `get_forecast(latitude, longitude)` for forecasts.

3

What are the software requirements?

Python 3.7 or later, the httpx library, and the MCP framework package `mcp[cli]`.

4

How do I configure an MCP client to use this server?

Add an entry to your client’s `config.json` with the command set to your `uv` binary and arguments including `--directory`, the project path, `run`, and `weather.py`.

5

What transport mechanism does the server use?

The server communicates over standard I/O (stdio).

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