Smarter Weather
by FastDrop
Smarter Weather MCP: forecasts, alerts, outlooks, observations, AQI, grids, and map imagery.
Smarter Weather MCP: forecasts, alerts, outlooks, observations, AQI, grids, and map imagery. Official MCP Registry: io.github.smarterweather/weather@0.1.1. Remote endpoint: https://mcp.smarterweather.com
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as io.github.smarterweather/weather and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
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Read directly from the endpoint on 20 Oct 2026. Not supplied by the maker.
search_locationsResolve a place to ranked candidates with lat/lon: city ("Denver"), "city, ST", ZIP ("50219"), or partial input with fuzzy=true ("bost" -> Boston); venues and addresses where enabled. Rows carry `type
get_forecastComplete weather overview for a location: current conditions, daily forecast (SPC threats, severity; view "detailed" adds CAPE, UV, full day/night periods), active alerts, and outlooks in one call. Pr
get_hourly_forecastBlended hourly forecast: temperature, feels-like, humidity, wind, precipitation probability/amount, conditions, and icon per hour. hourly[0] is the current or next hour; hourly_coverage.first_time say
get_current_conditionsCurrent weather right now at a location from two independent sources in one call: the RTMA gridded analysis (exact-point values, updated sub-hourly) and the nearest METAR station observation (ground t
get_alertsNWS watches, warnings, advisories. Point (city/ZIP/lat+lon): containing polygons. BBox or US state/DC/CONUS (codes, full names, US/national): intersecting polygons. A city miss is not a statewide all-
get_observed_precipitationHow much rain fell: observed precipitation totals at a location. Use for "did it rain", "how much rain fell", "rain in the last 24 hours / since yesterday". Source: MRMS MultiSensor QPE Pass2 (radar b
get_forecast_distributionNBM probabilistic guidance for one weather aspect: percentiles (p10-p90), exceedance probabilities and ensemble spread. Use this for any question about odds, ranges, potential or confidence ("how much
search_catalogFind which dataset answers a weather question when no dedicated tool fits: ranks the data catalog (model grids, radar, satellite, outlooks, observations) by the question's words and returns the best d
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