what_is_the_weather_like_in
Get current weather conditions and forecasts for any location in the Netherlands using real-time data from KNMI weather stations.
Instructions
Get and interpret weather data for a location in the Netherlands
Args:
location: City or place name in the Netherlands
Returns:
A natural language interpretation of the current weather conditions
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| location | Yes |
Implementation Reference
- src/knmi_weather_mcp/server.py:159-190 (handler)The core handler function for the 'what_is_the_weather_like_in' MCP tool. It is registered via @mcp.tool() decorator, fetches coordinates and weather data, and generates a natural language summary using a helper prompt.@mcp.tool() async def what_is_the_weather_like_in(location: str, ctx: Context) -> str: """ Get and interpret weather data for a location in the Netherlands Args: location: City or place name in the Netherlands Returns: A natural language interpretation of the current weather conditions """ try: # Get the coordinates for the location coords = await get_coordinates(location) # Get the weather data weather_data = await weather_service.get_weather_by_location(location, ctx) # Convert to dict and ensure all fields are present data_dict = weather_data.dict() # Add location information data_dict["requested_location"] = location data_dict["location_coordinates"] = { "latitude": coords.latitude, "longitude": coords.longitude, } # Use the interpretation prompt to analyze it return weather_interpretation(data_dict) except Exception as e: logger.error(f"Error getting weather for {location}: {str(e)}") return f"Error: Unable to get weather data for {location}. {str(e)}"
- Supporting prompt function invoked by the tool handler to format raw weather data into a structured prompt for natural language interpretation.@mcp.prompt() def weather_interpretation(raw_data: Dict[str, Any]) -> str: """Help Claude interpret raw weather data""" try: location = raw_data.get("requested_location", "Unknown location") coords = raw_data.get("location_coordinates", {}) lat = coords.get("latitude", 0.0) lon = coords.get("longitude", 0.0) station_name = raw_data.get("station_name", "Unknown station") station_id = raw_data.get("station_id", "Unknown ID") timestamp = raw_data.get("timestamp", "Unknown time") return f"""Please analyze this weather data from KNMI and provide: 1. A clear summary of current conditions 2. Important weather measurements and their values 3. Any notable patterns or extreme values 4. Relevant clothing advice based on the conditions Location: {location} ({lat:.3f}°N, {lon:.3f}°E) Weather station: {station_name} ({station_id}) at {timestamp} Current measurements: - Temperature: {raw_data.get("temperature", "N/A")}°C - Humidity: {raw_data.get("humidity", "N/A")}% - Wind Speed: {raw_data.get("wind_speed", "N/A")} m/s - Wind Direction: {raw_data.get("wind_direction", "N/A")} degrees - Precipitation: {raw_data.get("precipitation", "N/A")} mm - Visibility: {raw_data.get("visibility", "N/A")} meters - Pressure: {raw_data.get("pressure", "N/A")} hPa """ except Exception as e: logger.error(f"Error formatting weather interpretation: {str(e)}") return "Error: Unable to interpret weather data due to missing or invalid data."