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Access free weather forecasts, alerts, observations, and radar data from the US National Weather Service. Used in data engineering pipelines for weather-enriched analytics, emergency alert monitoring, agricultural planning dashboards, and integrating official government weather data into Python applications.
The NWS API is fully free and keyless. Engineers use `requests` with `Accept: application/geo+json` headers to query `/points/{lat},{lon}` for the forecast office and grid coordinates, then `/gridpoints/{office}/{x},{y}/forecast` for hourly forecasts.
The NWS API is ideal for grounding AI weather assistants with official US forecast data. Expose it as an MCP server endpoint so LLM agents can answer 'Is there a tornado watch near Dallas this weekend?' with real NWS alert data rather than hallucinated forecasts.
# pip install requests
import requests
# Step 1: get grid info for a lat/lon
point = requests.get("https://api.weather.gov/points/38.8977,-77.0365").json()
forecast_url = point["properties"]["forecast"]
# Step 2: fetch the 7-day forecast
forecast = requests.get(forecast_url).json()
for period in forecast["properties"]["periods"][:3]:
print(period["name"], "-", period["shortForecast"])Official dataset source
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