Tomorrow.io MCP Connector for Claude

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 Risk parameters 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