Tomorrow.io MCP Server
Equip your agent with precise weather intelligence, hyperlocal forecasts, and extreme climate risk assessments.
Vinkius AI Gateway supports streamable HTTP and SSE.
Works with every AI agent you already use
…and any MCP-compatible client
Tomorrow.io MCP Server: see your AI Agent in action
Built-in capabilities (10)
get_air_quality_index
Retrieve current and forecast air quality data
get_custom_timelines
Query weather data for custom time ranges and arbitrary intervals
get_daily_forecast
Returns up to 15 days of daily intervals. Retrieve daily weather forecast extremes and totals
get_historical_weather
Retrieve actual recorded historical weather observations
get_hourly_forecast
Returns up to 120 hours of predictions. Retrieve hour-by-hour weather forecast for a location
get_minutely_precipitation
Retrieve minute-by-minute precipitation nowcast
get_pollen_forecast
Retrieve daily pollen count indices
get_realtime_weather
Provide a location (lat,lon, city name, or zip) and field list. Retrieve current real-time weather conditions for any global location
get_road_weather_risk
Retrieve assessments for driving and road hazards
get_wildfire_risk
Retrieve wildfire risk index and weather conditions
What this connector unlocks
Connect your Tomorrow.io account to any AI agent and integrate institutional-grade weather modeling into your logic flows. Retrieve hyperlocal conditions, predict rainfall down to the specific minute, and access specialized environmental matrices (air quality, fire risks, and ground road weather) directly through natural language queries.
What you can do
- Real-time Observations — Check comprehensive atmospheric indicators for any latitude, longitude, city, or zip code dynamically
- Interval Forecasting — Read forward-looking timelines segmented by minute (precipitation), hours (daily events), or deep daily projections up to 15 days out
- Environmental Hazards — Interrogate the AQI (Air Quality Index), pollen density predictions, or active Wildfire index algorithms
- Logistical Safeguards — Check specialized
Road Riskparameters natively, enabling safer fleet routing algorithms against complex weather patterns - Historical Auditing — Query observed historical conditions by defining past temporal boundaries and desired weather field sets for retroactive analysis
How it works
1. Subscribe to this weather connector
2. Introduce your developer API Key located in your Tomorrow.io admin center
3. Engage your agent inquiring about global regions or embedding risk formulas locally
Who is this for?
- Data Engineers — Fuse historical weather outcomes against localized internal databases directly via their programmatic environment
- Fleet Operations Planners — Assess "road risks" dynamically around routes and modify delivery paths automatically
- Analytics Teams — Predict attendance or consumer patterns merging upcoming precipitation and high-pollen counts with event data
Frequently asked questions
Give your AI agents the power of Tomorrow.io
Access Tomorrow.io and 2,000+ MCP servers — ready for your agents to use, right now. No glue code. No custom integrations. Just plug Vinkius AI Gateway and let your agents work.
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