# Open-Meteo Historical Weather MCP for AI Agents AI Agent Connect

> Open-Meteo Historical Weather MCP gives you 84 years of global weather records from 1940 to today. It provides temperature, precipitation, wind, and snow data for any coordinate on Earth. This is the go-to tool for climate research, agricultural planning, and long-term environmental analysis.

## Overview
- **Category:** data-analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_PNLQiWEYz3EJHY4nf6BCyFT3IzeCerZFM2gbQaQt/ai-agent-connect
- **Tags:** historical-data, meteorology, climate-science, time-series, api-integration, environmental-data

## Description

You can now pull decades of weather data into your workflow without hunting through old spreadsheets or manual archives. This Connector lets your agent grab precise records for any location on the planet, going back all the way to 1940. If you're trying to figure out how rainfall patterns in a specific region changed over the last fifty years, you just ask the agent to pull the data. It handles the heavy lifting of searching through historical logs to give you hourly stats, daily aggregates, or specific temperature trends. Whether you're looking for snow depth in the 1960s or average humidity in the 1990s, the data is ready for your analysis. It makes sense to have this in your Vinkius catalog because it turns your AI into a research assistant that actually knows the history of the planet's climate. You get straight answers on weather codes, wind patterns, and sunshine duration without having to navigate complex weather portals or manual data entry.

## Tools

### get_historical_weather
Get weather data for a specific date range using latitude and longitude. It's perfect for looking up conditions on specific historical dates.

### get_historical_daily
Pull daily aggregates like max/min temperatures and total precipitation. This tool is best for seeing broad trends over months or years.

### get_historical_temperature
Get detailed temperature data including apparent temperature and dewpoint. Use this for deep-dive climate analysis on heat and humidity.

## Prompt Examples

**Prompt:** 
```
What was the weather like in London on D-Day, June 6, 1944?
```

**Response:** 
```
🏛️ **London — June 6, 1944**

| Metric | Value |
| :--- | :--- |
| Max Temp | 16.2°C |
| Min Temp | 10.8°C |
| Precipitation | 2.1mm (light rain) |
| Wind | 28 km/h from the west |
| Cloud Cover | Heavy overcast |

Historical records confirm the famously poor weather conditions that nearly delayed the Normandy invasion.
```

**Prompt:** 
```
Compare average temperatures in São Paulo between 1950 and 2020.
```

**Response:** 
```
📊 **São Paulo Temperature Trend (70 years)**

* **1950s average:** 19.2°C
* **1980s average:** 19.8°C
* **2010s average:** 20.6°C

There is a clear warming trend of +1.4°C over 70 years, which is consistent with global urban heat island effects.
```

**Prompt:** 
```
How much rain fell in Mumbai during the 2005 flood?
```

**Response:** 
```
🌧️ **Mumbai — July 26, 2005**

* **Daily precipitation:** 944mm (one of the highest single-day totals ever recorded in India)
* **Hourly peak:** 190mm between 14:00-15:00

This catastrophic flood event displaced over 20 million people.
```

## Capabilities

### Pull weather records for any date range
Get historical weather data for specific dates or spans of time across the globe.

### Get daily weather aggregates
Retrieve daily summaries like max and min temperatures and total precipitation.

### Analyze long-term temperature trends
Access specific temperature data including apparent temperature and dewpoint for climate studies.

### Retrieve humidity and dewpoint data
Get detailed moisture data for specific coordinates and historical dates.

### Access historical snow and precipitation totals
Pull records for snowfall and rainfall to study past environmental events.

## Use Cases

### Verifying weather during a historical event
A researcher needs to know the exact weather during a historical event. Ask your agent to find the weather in London on D-Day using get_historical_weather to get precise wind and temp stats.

### Identifying regional warming trends
A developer wants to see if a region is getting hotter. Use get_historical_temperature to compare average temperatures in a city between 1950 and 2020 to spot warming trends.

### Analyzing flood precipitation levels
An analyst needs to know how much rain fell during a specific flood. Query get_historical_weather for a specific date to find peak precipitation levels during a historical disaster.

### Planning for future crop cycles
A farmer needs to plan for next year's crops. Use get_historical_daily to pull 20 years of sunshine and rainfall totals for a specific farm coordinate.

## Benefits

- Stop manually searching old weather archives by using get_historical_weather to pull data instantly.
- Build accurate climate models faster with high-resolution temperature data from get_historical_temperature.
- Identify regional weather trends over decades using the daily aggregates in get_historical_daily.
- Reduce research time for agricultural planning by accessing 84 years of historical rainfall records.
- Make better insurance risk assessments by querying specific historical weather events for any coordinate.

## How It Works

The bottom line is you get historical climate data in seconds instead of hours of manual searching.

1. Connect the Open-Meteo Historical Weather MCP to your AI client through Vinkius.
2. Provide your agent with a specific location and the date range you need to investigate.
3. Receive a structured dataset containing variables like temperature, wind, and precipitation.

## Frequently Asked Questions

**Can I get weather data from before 1940 with the Open-Meteo Historical Weather MCP?**
No, this Connector provides continuous weather records starting from 1940 to the present day.

**Does the Open-Meteo Historical Weather MCP cover every country?**
Yes, it provides global coverage for any coordinate on Earth.

**Can I use this for real-time weather updates?**
No, this tool is strictly for historical data. You will need a different service for live forecasts or current alerts.

**What kind of data does the Open-Meteo Historical Weather MCP provide?**
It provides a range of data including temperature, precipitation, wind speed, snow depth, humidity, and sunshine duration.

**How accurate is the historical data provided by the Open-Meteo Historical Weather MCP?**
It provides consistent, long-term climate data based on 84 years of records, making it suitable for research and trend analysis.

**Can I get daily summaries with the Open-Meteo Historical Weather MCP?**
Yes, you can pull daily aggregates which include max and min temperatures, total precipitation, and sunshine duration.

**How far back does the historical data go?**
All the way to **January 1, 1940** — that's 84 years of continuous, hourly global weather data powered by ERA5 reanalysis from ECMWF.