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Wetter-MCP
Beispiel MCP -Server -Implementierung zum Abrufen von Wettervorhersagen
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Weather MCP Server
A Model Context Protocol (MCP) server that provides weather data from the National Weather Service API.
Features
- Get weather forecasts by geographic coordinates
- Get weather alerts by US state
- Clean, formatted weather data for LLM consumption
- Integration with Claude and other MCP-compatible clients
Prerequisites
- Node.js (LTS version recommended)
- npm or yarn
Installation
- Clone the repository
git clone https://github.com/nakamurau1/weather-mcp.git
cd weather-mcp
- Install dependencies
npm install
- Build the server
npm run build
Usage
Running the server directly
npm start
Or directly:
./dist/index.js
Connecting to Claude Desktop
- Edit your Claude Desktop configuration file:
# MacOS
code ~/Library/Application\ Support/Claude/claude_desktop_config.json
- Add the weather-mcp server configuration:
{
"mcpServers": {
"weather": {
"command": "node",
"args": ["/absolute/path/to/your/weather-mcp/dist/index.js"]
}
}
}
-
Restart Claude Desktop
-
Test the server with queries like:
- "What's the weather in Sacramento?"
- "Are there any active weather alerts in Texas?"
Available Tools
get_forecast
Gets weather forecast for a geographic location.
Parameters:
-
latitude
: Latitude of the location (number between -90 and 90) -
longitude
: Longitude of the location (number between -180 and 180)
get_alerts
Gets active weather alerts for a US state.
Parameters:
-
state
: Two-letter US state code (e.g., "CA", "NY", "TX")
Resource Templates
Weather alerts by state
URI Template: weather://{state}/alerts
Example: weather://CA/alerts
Limitations
- Weather data is limited to United States locations (NWS API)
- No historical weather data, only current conditions and forecasts
Development
- Run in development mode:
npm run dev
- Build the project:
npm run build
License
ISC
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Reviews

user_KjOacCfD
I have been using the weather-mcp by nakamurau1, and it has exceeded my expectations. The user interface is intuitive, and it provides accurate weather forecasts. Best of all, it's open-source, so you can customize it to fit your needs. For anyone in need of a reliable weather application, I highly recommend giving weather-mcp a try!