Tomorrow.io MCP (Model Context Protocol)

Tomorrow.io MCP (Model Context Protocol) enables compatible AI agents to natively access Tomorrow.io weather data and Gale capabilities through a standardized interface, reducing the need for custom API integration.

Access

• Available via MCP endpoint
• Requires API key authentication
• Standard rate limits apply

When to use

Use MCP when:

• Building AI agents or applications that require weather data
• Enabling LLMs to dynamically query Tomorrow.io APIs
• Reducing development overhead for integrations

How it works

• MCP exposes Tomorrow.io capabilities through a standardized interface
• Compatible AI agents can call available tools to retrieve data
• Authentication is required using your Tomorrow.io API key

Available tools

• get_ai_chat – Ask weather-related questions using natural language.
• get_ai_summary – Generate plain-language weather summaries.
• get_data_feeds – Retrieve available weather data feeds.
• get_realtime_weather
• get_forecast_timeline
• get_weather_on_route
• get_historical_weather
• get_climate_normals
• get_weather_events
• get_route_weather_events

Feature highlights

• Direct agent-to-data integration
• Eliminates manual API wiring
• Supports dynamic, context-aware queries
• Enables AI agents to ask weather questions and generate weather summaries
• Provides access to Tomorrow.io weather data through a standardized interface

Need help?

Visit our Developer Docs or email support@tomorrow.io for assistance.