MCP Server
The SmarterWeather MCP (Model Context Protocol) Server gives AI assistants direct access to weather data through 30+ specialized tools. Connect Claude, ChatGPT, Cursor, or any MCP-compatible client to real-time forecasts, probabilistic models, and severe weather guidance.
Setup Guide
Configure the MCP server in your preferred AI client in under 2 minutes.
Tool Reference
Complete reference for all 30+ tools with parameters and response schemas.
Examples
Real-world usage patterns and prompt strategies for weather queries.
Pricing
MCP Server access is included with all paid plans. See available tiers.
Tool Categories
Forecast
5 toolsCore forecast data — weather summaries, hourly data, alerts, and NWS text products.
get_weatherget_hourly_forecastget_active_alertsget_spc_outlooksget_area_forecast_discussionAnalysis
4 toolsMulti-location comparison, optimal timing, period aggregation, and temporal context.
compare_locationsget_best_periodget_period_totalsget_time_contextProbabilistic
8 toolsNBM ensemble percentiles, confidence intervals, and exceedance probabilities.
get_precipitation_probabilityget_snow_forecast_rangeget_ice_forecast_rangeget_severe_weather_probabilitiesget_forecast_confidenceget_temperature_rangeget_aviation_conditionsget_wind_forecast_rangeRaw Data
5 toolsDirect model variable access, RTMA observations, and data staleness checks.
query_raw_hourlyquery_raw_dailyquery_raw_variableget_current_conditionsget_data_freshnessGeocoding
2 toolsResolve place names to coordinates and vice versa.
geocode_locationreverse_geocodeReference
2 toolsDiscover available data products and their variables for a location.
list_available_productslist_product_variablesGuidance
4 toolsSPC convective outlooks, mesoscale discussions, and NWS office narratives.
get_mesoscale_discussionget_hazardous_weather_outlookget_spc_outlooksget_area_forecast_discussionWhy MCP over REST?
compare_locations and get_best_period do multi-step analysis that would require many REST calls.