NOAA Full MCP. Cross-reference climate, space, and aviation data in one call.

This server gives your AI agent access to 36 specialized NOAA tools, pulling data from five core APIs so you don't have to jump between websites or juggle multiple API keys. You get one unified point for everything—weather alerts, climate normals, aviation reports, and space weather.

Immediate Conditions & Alerts. When you need to know what’s happening right now, the get_latest_observation tool pulls current weather readings from any specific NWS station using its 4-character ID. You can check active warnings by calling get_active_alerts, letting you filter results by a US state, zone ID, severity level, or even a specific event type like 'Tornado Warning.' For pinpoint accuracy, the get_alerts_by_point tool retrieves alerts using precise latitude and longitude coordinates.

If you know the NWS zone ID (like TXZ211), use get_alerts_by_zone. You can also narrow down alert types by running get_alert_types, which lists all valid event categories recognized by the NWS.

Forecasting & Predictions. Planning ahead is straightforward. The get_forecast tool gives you a 7-day weather outlook—you'll get high/low temps and wind details for any US location using latitude and longitude. If you need more granular detail, get_hourly_forecast provides an hour-by-hour prediction across 156 hours, including humidity and wind data. For deep context, the get_forecast_discussion tool pulls the Area Forecast Discussion (AFD) text from a specific NWS office using its three-letter code, giving you the meteorologists' full analysis.

The get_taobao function gives you that same airport forecast (TAF), and for current conditions at any global airport, use get_metar with the ICAO code. You can also track short-term changes by getting recent observation history using get_observation_history, or check general station info via get_aviation_station.

Climate & Historical Analysis. Don't just look at today’s weather; you need context. The get_climate_normals tool retrieves 30-year statistical baselines, defining 'normal' temperature and precipitation for any spot. For long-term trend analysis, call get_sea_level_trends to calculate relative sea level rise using tide gauge data at a US coastal station. You can run get_monthly_summary to calculate monthly climate summaries (GSOM), detailing average temps and total precipitation over time.

The get_yearly_summary tool provides annual summaries (GSOY) for yearly averages and extreme values, making trend spotting simple.

Aviation & Hazards. Air safety is covered by dedicated tools. You can use get_sigmet to retrieve SIGMETs and AIRMETs, which define areas with significant weather hazards for aircraft. Furthermore, the get_pirep tool gets Pilot Reports (PIREPs), letting you filter for observed conditions like turbulence or icing based on age.

Marine & Water Data. For coastal operations, these tools are key. The get_tide_predictions function predicts high and low tide times and heights at a US coastal station, usually covering the next 48 hours. You can also run get_water_levels to get observed water levels (tides) in meters from a specific US coastal station ID.

Need to know what's moving? get_currents gets the observed ocean current speed and direction in meters from select US stations. For temperature, use get_water_temperature for the current reading at a designated US coast point.

Space Weather Monitoring. Understanding space activity requires dedicated tools. The get_planetary_k_index retrieves NOAA's Planetary K-index, which measures geomagnetic activity and predicts aurora probability worldwide. For solar activity forecasting, call get_k_index_forecast to predict the 3-day Kp index score. You can get real-time data on the forces driving space weather using get_solar_wind, which retrieves speed and magnetic field conditions.

Overall solar energy levels are measured via get_solar_flux, giving you the 10.7cm solar radio flux index.

General Data & Search. If you need to locate data points, start with these tools. To find nearby NWS stations, use get_stations by providing a bounding box or keyword search. The search_stations tool finds NCEI weather stations using a similar location query. You can get detailed NWS metadata for any US spot using get_point_metadata, which includes the responsible office and grid zone IDs.

For raw, programmatic arrays of temperature, wind, and precipitation data (US only), use get_grid_data. If you need to know what stations are available, call get_radar_stations to list their status and locations.

This toolkit pulls together everything: from the hourly predictions (get_hourly_forecast) to the historical baseline data, ensuring your agent has every piece of environmental information it needs.