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get_forecast

Retrieve weather forecast data for specific coordinates using Slim MCP's lightweight API service, enabling AI agents and automated workflows to access location-based meteorological information.

Instructions

Get weather forecast for a location.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latitudeYes
longitudeYes

Implementation Reference

  • The core handler function implementing the get_forecast tool. It queries the National Weather Service API using provided latitude and longitude to retrieve and format the weather forecast for the next 5 periods.
    async def get_forecast(latitude: float, longitude: float) -> str: """Get weather forecast for a location.""" # First get the forecast grid endpoint points_url = f"{NWS_API_BASE}/points/{latitude},{longitude}" points_data = await make_nws_request(points_url) if not points_data: return "Unable to fetch forecast data for this location." # Get the forecast URL from the points response forecast_url = points_data["properties"]["forecast"] forecast_data = await make_nws_request(forecast_url) if not forecast_data: return "Unable to fetch detailed forecast." # Format the periods into a readable forecast periods = forecast_data["properties"]["periods"] forecasts = [] for period in periods[:5]: # Only show next 5 periods forecast = f""" {period['name']}: Temperature: {period['temperature']}°{period['temperatureUnit']} Wind: {period['windSpeed']} {period['windDirection']} Forecast: {period['detailedForecast']} """ forecasts.append(forecast) return "\n---\n".join(forecasts)
  • The registration function that uses mcp.tool() decorator to register the get_forecast tool (along with get_alerts) with the MCP server.
    def register_weather_tools(mcp): """Register all weather tools with the MCP server.""" mcp.tool()(get_alerts) mcp.tool()(get_forecast)
  • Key helper utility function used by get_forecast to make HTTP requests to the NWS API endpoints.
    async def make_nws_request(url: str) -> dict[str, Any] | None: """Make a request to the NWS API with proper error handling.""" headers = { "User-Agent": USER_AGENT, "Accept": "application/geo+json" } async with httpx.AsyncClient() as client: try: response = await client.get(url, headers=headers, timeout=30.0) response.raise_for_status() return response.json() except Exception: return None

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