# Tomorrow.io MCP for AI Agents AI Agent Connect

> Tomorrow.io lets you pull hyperlocal weather intelligence into your AI agent. You can grab real-time conditions, 14-day forecasts, historical archives, and severe weather alerts from one place. It handles everything from current humidity and wind speeds to complex route weather for logistics planning. If you need precise meteorological data for apps, research, or operations, this Connector gets it done.

## Overview
- **Category:** iot-hardware
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_5XiVrXqi45X5u1UD96sPaDTVwQJ72iPmeZIsh0rx/ai-agent-connect
- **Tags:** weather-forecasting, hyperlocal-data, real-time-monitoring, air-quality, severe-weather-alerts, historical-weather

## Description

Imagine your AI agent actually knows what's happening outside your warehouse or along a delivery route. Instead of you digging through multiple weather websites or copy-pasting data into a spreadsheet, your agent just handles it. You can ask for the exact temperature in a specific zip code, check if a storm is brewing in a region you're monitoring, or pull years of historical data to see how a climate shift affected local crops. It's about moving from "I think it might rain" to "The data shows a 60% chance of heavy rain starting at 4 PM." This Connector makes that data accessible through your favorite AI client, and since it's hosted on Vinkius, you can get it running without the headache of manual configuration. It turns your agent into a meteorologist that understands hyperlocal nuances, like air quality indices or UV levels, giving you a clear picture of the environment in real-time. Whether you're planning a cross-country move or analyzing insurance claims from a past blizzard, the information is just a conversation away.

## Tools

### get_daily_forecast
Get a daily weather forecast for a specific location to plan your week. It's great for travel prep.

### get_weather_events
Fetch active severe weather warnings and storm alerts for any area. Stay ahead of hazards.

### get_forecast
Retrieve temperature and precipitation data for up to 14 days ahead. Use this for general planning.

### get_historical_weather
Query daily or hourly weather data from up to 20 years ago. Perfect for research and claims.

### get_hourly_forecast
Get hour-by-hour weather details for planning immediate activities. Good for the next few days.

### list_locations
See all saved locations currently configured in your account. Useful for managing frequent areas.

### get_realtime_weather
Get current conditions like wind, humidity, and UV index for a city or zip code. Get facts now.

### get_recent_history
Pull actual observed weather conditions from the last 24 hours. Use this to verify recent events.

### get_route_weather
Get weather conditions along a multi-waypoint path. Ideal for logistics and road trips.

### get_timeline
Pull specific weather data points at custom intervals. Use this for custom dashboards and analytics.

## Prompt Examples

**Prompt:** 
```
What's the weather like in Tokyo right now?
```

**Response:** 
```
Currently in Tokyo: 
- **Temp**: 18.5°C
- **Humidity**: 62%
- **Wind**: 12 km/h NW
- **Precipitation**: 0%
- **UV Index**: 3 (moderate)
- **Visibility**: 16 km (excellent)
```

**Prompt:** 
```
Give me an hourly forecast for São Paulo for the next 12 hours.
```

**Response:** 
```
Here is the hourly forecast for São Paulo:

| Time | Temp | Humidity | Rain % |
| :--- | :--- | :--- | :--- |
| 14:00 | 27°C | 45% | 8% |
| 15:00 | 28°C | 42% | 5% |
| 16:00 | 26°C | 55% | 25% |
| 17:00 | 24°C | 68% | 60% (Storm likely) |
| 18:00 | 22°C | 78% | 85% (Heavy rain) |
```

**Prompt:** 
```
What was the weather like in London on January 15, 2025?
```

**Response:** 
```
Historical data for London on January 15, 2025:
- **High**: 7.2°C
- **Low**: 2.1°C
- **Humidity**: 89%
- **Wind**: 22 km/h SW
- **Rainfall**: 4.8mm
- **Conditions**: Overcast with light drizzle in the morning.
```

## Capabilities

### Fetch real-time conditions
Get current temperature, humidity, and wind speeds for any location.

### Pull 14-day forecasts
Access daily and hourly weather predictions for long-term planning.

### Query historical archives
Retrieve observed weather data from up to 20 years ago for research.

### Plan route weather
Get weather conditions along a multi-waypoint path for logistics.

### Monitor severe alerts
Track active storm warnings and heat advisories in real-time.

### Generate custom timelines
Build specific data queries with custom fields and time intervals.

## Use Cases

### Logistics route planning
A dispatcher asks the agent to check the weather along a 5-stop delivery route. The agent uses get_route_weather to identify a storm path and suggests a new route.

### Agricultural planning
A farmer asks if the next 48 hours are good for spraying crops. The agent uses get_hourly_forecast to confirm the lowest wind speeds and no rain.

### Insurance claim verification
An adjuster needs to know if a blizzard hit a specific zip code on a date in 2018. The agent uses get_historical_weather to pull the exact data.

### Event safety monitoring
An organizer asks for heat advisories for an outdoor concert next weekend. The agent uses get_weather_events to check for active alerts.

## Benefits

- Automate route planning with get_route_weather to avoid unexpected storms and hazards.
- Analyze long-term trends using get_historical_weather for accurate climate studies and research.
- Monitor air quality and UV levels in real-time with get_realtime_weather for safety.
- Build custom dashboards using get_timeline to track specific metrics at exact intervals.
- Stay ahead of dangerous weather with get_weather_events for instant storm and heat alerts.
- Verify past weather events with get_recent_history for accurate reporting and insurance claims.

## How It Works

The bottom line is you get precise weather data for any location without leaving your chat interface.

1. Subscribe to the Connector and grab your API key from the Tomorrow.io website.
2. Connect the Connector to your AI client like Claude, Cursor, or Windsurf.
3. Ask your agent for specific weather data, forecasts, or historical reports.

## Frequently Asked Questions

**Can Tomorrow.io MCP track air quality for my city?**
Yes. It provides real-time air quality indices for locations worldwide, which your agent can report back to you instantly.

**How do I get weather for a specific delivery route?**
Just give your agent the list of waypoints. It will use the route weather tool to check the conditions along the entire path for you.

**Can I get weather data from 10 years ago?**
Yes, you can query historical weather data from up to 20 years ago to see what conditions were like on specific dates.

**Does Tomorrow.io MCP provide severe weather alerts?**
It does. Your agent can monitor active storm warnings, heat advisories, and other meteorological hazards in real-time.

**Can I use Tomorrow.io for agricultural planning?**
Absolutely. You can check hourly forecasts to find the best windows for spraying or harvesting based on wind and rain data.

**How accurate is the hyperlocal data?**
It provides high-resolution data that includes specific metrics like UV levels and visibility, making it much more precise than standard weather reports.

**What weather data points can I retrieve with this integration?**
You can retrieve temperature, humidity, wind speed/direction/gusts, precipitation intensity/probability, UV index, visibility, cloud cover, dew point, pressure, snow accumulation, air quality index and more. Use the `get_timeline` tool to specify exactly which fields you need.

**How far back can I access historical weather data?**
The `get_historical_weather` tool can access archived weather data going back up to 20 years. For the most recent 24 hours, use `get_recent_history` which provides higher-resolution data. Historical data availability depends on your Tomorrow.io plan tier.

**Can I get weather conditions along a driving route?**
Yes! The `get_route_weather` tool accepts a series of waypoints (each with latitude, longitude and expected arrival time) and returns weather forecasts for each segment. Perfect for logistics planning, road trips and delivery optimization.