Weather (Open-Meteo) MCP. Know Local Conditions, Instantly.
Weather (Open-Meteo) provides high-precision, real-time weather data and forecasts for any city worldwide. Get current conditions like temperature, wind speed, and humidity. Plan trips using 7-day multi-day forecasts or check hourly breakdowns for the next 24 hours. It also delivers air quality index (AQI), severe weather alerts, and helps you find the optimal time for outdoor activities.
Give Claude and any AI agent real-world access
Retrieve real-time readings like temperature, wind speed, and humidity for any city.
Get weather predictions spanning 1 to 14 days for planning activities or trips.
View detailed, hour-by-hour weather data covering the next 24 hours.
Get current Air Quality Index (AQI) scores, pollutant levels, and active severe weather warnings for a location.
Run side-by-side comparisons of current conditions across several different cities.
Analyze the next 72 hours to find the best time window for specific activities like hiking or cycling.
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What AI agents can do with Weather (Open-Meteo) with 7 Tools
These seven tools let you retrieve everything from current temperatures and pollutant levels to multi-day predictions and activity recommendations.
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Start using Weather (Open-Meteo) MCPWeather.current
Retrieves the real-time temperature, humidity, wind speed, and precipitation for any specified city worldwide.
Weather.forecast
Provides a multi-day weather prediction spanning 1 to 14 days for any city globally.
Weather.hourly
Generates an hour-by-hour forecast covering the immediate next 24 hours for a...
Weather.alerts
Checks and returns active severe weather advisories, including warnings for storms...
Weather.air Quality
Retrieves the current Air Quality Index (AQI) score along with pollutant data like...
Weather.compare
Compares the current weather conditions across 2 to 5 cities, scoring each one's comfort level side by side.
Weather.best Time
Analyzes the next 72 hours to find and score optimal time windows for specific outdoor activities in any city.
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The headache of manual travel preparation
Before this MCP, planning a multi-stop trip meant opening five different browser tabs: one for the current temperature in City A, another for the 7-day forecast in City B, and yet a third to check the air quality index. You’d spend twenty minutes manually cross-referencing conflicting data points just to figure out if you needed an umbrella or a light jacket.
Now, your agent handles it all. You ask one question—like 'Should I go to Lisbon or Madrid this weekend?'—and the MCP runs weather.compare in the background. It instantly gives you a side-by-side comparison and calculates a comfort score for both locations, letting you book with confidence.
Get instant access to detailed forecasts with weather.forecast
You used to have to wait until the next day's forecast was released just to get a basic idea of what week two looked like. You couldn't plan anything further out than 7 days without manually refreshing multiple sites.
With weather.forecast, you pull multi-day predictions (up to 14 days) directly into your conversation. That’s reliable planning data delivered immediately.
What Weather (Open-Meteo) MCP does for your AI
This MCP gives your agent instant access to global meteorological data, letting you stop manually checking dozens of weather websites. You can ask for real-time conditions—like current temperature or wind speed in São Paulo—or request a multi-day forecast spanning up to two weeks when planning travel. Need to compare destinations? Just name the cities; the MCP compares everything side by side, giving you a comfort score for each one.
It's perfect for logistics teams checking wind conditions across delivery routes or outdoor enthusiasts trying to find the best window for running in the next 72 hours. Plus, it monitors air quality using AQI levels and even flags severe weather alerts when they pop up. By connecting this MCP through Vinkius, you get a personal meteorologist built right into your workflow, keeping complex environmental data available through simple chat commands.
019d7620-cf0e-710e-818a-01b1ea7cc61a How to set up Weather (Open-Meteo) MCP
The bottom line is you get actionable, global environmental data without leaving your chat interface.
Connect this MCP to your preferred AI client via Vinkius. No API key is needed for non-commercial use.
Ask your agent a natural language question, like 'What's the weather going to be in Miami next week?'
The MCP executes the necessary tool calls and returns structured data—whether it’s a current temperature or a 7-day forecast.
Who uses Weather (Open-Meteo) MCP
Anyone who relies on external conditions for planning—from travel agents booking multi-city trips to outdoor guides needing real-time air quality checks. This MCP solves the problem of constantly cross-referencing multiple weather sites.
Uses the MCP to compare destinations, checking if a trip from New York to London is better this weekend based on current weather and multi-day forecasts.
Runs checks using the best time analysis tool to find the ideal 3-hour window for hiking or running, factoring in precipitation thresholds.
Checks wind speed and hourly breakdowns across multiple delivery routes to predict delays or safety concerns.
Benefits of connecting Weather (Open-Meteo) MCP
Don't rely on checking multiple tabs. Use weather.current to get real-time data points like wind speed and humidity for instant decision-making.
Need a long-term plan? Run the weather.forecast tool to see multi-day predictions (up to 14 days) instead of just tomorrow’s guess.
Forget basic forecasts. Use weather.hourly to get precise, hour-by-hour breakdowns for critical planning like construction or events.
When coordinating travel, use weather.compare to instantly weigh conditions across several cities and find the best place to go.
Safety first: Check weather.air_quality to monitor AQI and pollutant levels before sending a team out on site.
Maximize outdoor time by using weather.best_time, which analyzes 72 hours of data to pinpoint ideal activity windows for hiking or cycling.
Weather (Open-Meteo) MCP use cases
Planning an international work trip
A travel agent needs to compare Miami and New Orleans. Instead of opening three browser tabs, they ask their agent to run weather.compare. The MCP returns a side-by-side comparison with comfort scores, letting them book the best option immediately.
Managing an outdoor event
The park director needs to know when it's safest for attendees to be outside. They use weather.best_time, which analyzes 72 hours and recommends a specific three-hour window based on ideal temperatures and low precipitation.
Assessing site safety
A construction foreman needs to know if the current conditions are safe for workers. They use weather.air_quality, which reports real-time AQI scores and specific pollutant levels like PM2.5, informing them whether masks or delays are necessary.
Optimizing deliveries
A logistics team needs to route trucks through several cities next week. They use weather.forecast combined with hourly data checks to preemptively identify days with high wind speeds that could delay their entire schedule.
Weather (Open-Meteo) MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Asking for a comparison using only current conditions
The user asks, 'Which city is better?' and the agent only uses weather.current. This gives a limited snapshot that ignores upcoming changes.
To get a full picture, you must use weather.compare, which analyzes multiple cities' current data and provides comprehensive comfort scores for immediate comparison.
Using the general forecast for immediate needs
The user asks what to wear today, and the agent defaults to weather.forecast (7 days). This is too far out and doesn't give actionable details.
For highly specific, short-term planning, always use weather.hourly. It gives a detailed breakdown of conditions hour by hour for the next 24 hours.
Ignoring pollution data
A user plans an outdoor run but doesn't check air quality, assuming clear skies mean good air.
Always check weather.air_quality first. This tool provides the AQI score and pollutant breakdown, ensuring that even if the sky looks clear, you know if the air is safe for exercise.
When to use Weather (Open-Meteo) MCP
Use this MCP when your planning depends on environmental metrics beyond just 'sunny' or 'rainy.' If you only need a simple general forecast and don't care about wind speed, AQI, or specific activity windows, another basic weather tool might work. However, if you are coordinating logistics (which requires checking wind/precipitation hourly), assessing health risks (requires pollutant data from weather.air_quality), or comparing multiple destinations for travel planning (requires weather.compare), this MCP is essential because it provides the depth of detail needed to make accurate calls.
Don't use this if you only need historical averages; it focuses on real-time and predicted data. But when predicting outcomes—like determining the optimal time window using weather.best_time—this MCP is unmatched.
Frequently asked questions about Weather (Open-Meteo) MCP
Can I use the Weather (Open-Meteo) MCP for general travel planning? +
Yes, absolutely. Use weather.compare to check current conditions across multiple destinations and find the best place to go based on real-time data.
What's the difference between weather.forecast and weather.hourly? +
weather.forecast gives you a multi-day overview (1–14 days). Use weather.hourly when you need minute-by-minute detail for the next 24 hours.
Does Weather (Open-Meteo) MCP include pollution data? +
Yes, it does. The weather.air_quality tool delivers current AQI scores and detailed pollutant readings like PM2.5 and ozone.
How do I find the best time to run outdoors using this MCP? +
Use weather.best_time. It analyzes 72 hours of activity data, scoring specific windows for running, hiking, or cycling based on ideal conditions.
Does Weather (Open-Meteo) support global locations? +
Yes, it supports any city name worldwide. You can provide natural language names like 'São Paulo' or 'Paris, France' to get accurate readings.