MCP Weather Server
@le-yo
MCP Weather Server について
Weather MCP server
基本情報
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": {
"weather-mcp-le-yo": {
"command": "node",
"args": [
"index.js"
]
}
}
}ツール
ツールは検出されませんでした
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 MCP Weather Server?
MCP Weather Server is a simple Model Context Protocol (MCP) server that provides current weather information for any location. It is designed for AI applications like Claude Desktop to retrieve weather data through a standardized interface using the free wttr.in API.
How to use MCP Weather Server?
Install dependencies with npm install and run the server with node index.js. Then add it as a custom MCP server in Claude Desktop by specifying the command node /path/to/index.js in the MCP Servers settings. Once connected, users can ask Claude for weather conditions using natural language prompts.
Key features of MCP Weather Server
- Get current weather for any location
- Compatible with Claude Desktop and other MCP clients
- Uses free wttr.in API (no API key required)
- Implements the
get_weathertool via MCP
Use cases of MCP Weather Server
- Check current weather in a city before traveling
- Integrate real-time weather data into AI assistant conversations
- Answer natural language questions like “Is it raining in Tokyo?”
FAQ from MCP Weather Server
How does MCP Weather Server get weather data?
It fetches current weather information from the free wttr.in API, which requires no API key.
What are the steps to connect MCP Weather Server to Claude Desktop?
Open Claude Desktop, go to Settings > MCP Servers, add a new custom server, and set the command to node /path/to/index.js. Save and restart Claude Desktop.
Can I extend MCP Weather Server with additional features?
Yes, you can add more weather tools (forecast, historical data), implement other MCP features like resources or prompts, or use a different weather API.
What protocol does MCP Weather Server use?
It implements the Model Context Protocol (MCP), a standardized way for AI applications to connect with data sources and tools.
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