Weatherbit MCP. Get Global Weather, Air Quality & Climate History.
Weatherbit provides global, real-time weather data directly to your AI client. Get current conditions, 16-day forecasts, hourly predictions, and historical climate metrics for any location worldwide. It also tracks air quality indexes (AQI) and active severe storm warnings.
Give Claude and any AI agent real-world access
Retrieve real-time details including temperature, wind speed/direction, humidity, and precipitation for a specific location.
Fetch daily predictions showing high and low temperatures, weather type, and chance of rain over the next two weeks.
Obtain detailed hour-by-hour data on temperature, wind, and cloud cover for immediate planning.
Access past weather measurements, including temperature and rainfall, dating back decades for research purposes.
Read detailed readings on common pollutants like PM2.5, Ozone (O3), and Carbon Monoxide (CO) to assess local air health.
Query active alerts or recent reports for dangerous conditions like tornadoes, floods, or high winds.
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What AI agents can do with Weatherbit MCP with 10 Tools
Use these tools to query everything from current temperature readings and hourly forecasts to historical climate data and localized air pollution metrics.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Weatherbit MCPGet Air Quality
Retrieves the Air Quality Index (AQI) score and concentrations for key pollutants like PM2.5 or Ozone at given coordinates.
Get Current Weather
Provides immediate weather details, including temperature, wind speed/direction, and...
Get Current Weather By City
Returns current conditions like humidity and UV index when you only know the city...
Get Forecast Daily
Generates a daily forecast showing high/low temperatures, weather type, and...
Get Forecast Daily By City
Gets a 16-day outlook covering temperature ranges and general conditions using just...
Get Forecast Hourly
Delivers hour-by-hour data on temperature, wind, and cloud cover for detailed short-term planning by coordinates.
Get Forecast Hourly By City
Provides an hourly prediction of conditions, including precipitation and wind, using a city name lookup.
Get Historical Weather
Pulls historical weather data for specific metrics spanning the last 30 years by...
Get Severe Weather
Queries reports detailing recent severe weather activity, such as documented...
Get Weather Alerts
Retrieves active official warnings and watches regarding dangerous weather...
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Weatherbit, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
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Getting reliable environmental status updates is a nightmare of tabs and APIs.
Right now, checking the full scope of local conditions means jumping through hoops. You check one site for today's temperature, then another to see if pollution levels are high enough to keep kids inside. If you need to plan more than a few days out, you start juggling separate forecast pages that don't talk to each other.
With this MCP, your agent pulls all of it in one conversation. It handles the cross-referencing—from today’s current conditions to pollution readings and even checking if there are any immediate severe warnings for your location.
Weatherbit gives you comprehensive data across multiple time scales.
You no longer have to manually request separate reports. You can ask the agent to compare current air quality readings against what historical weather data showed for this exact date 10 years ago, all without leaving your client interface.
The difference is depth. It's not just a forecast; it's a complete environmental profile, making complex decision-making simple and immediate.
What Weatherbit MCP does for your AI
Need reliable environmental data? This MCP connects you to global weather information so your agent can analyze it through natural conversation. You can check current conditions—temperature, wind, humidity—either by coordinates or a city name. Planning a trip? Use the daily forecast tool to see high/low temperatures and precipitation probability up to 16 days out.
For deep dives, pull historical data spanning over 30 years. The system also tracks air quality metrics like PM2.5 and Ozone levels in addition to providing active severe weather alerts. All this global data is managed and cataloged on Vinkius, making it accessible instantly from any MCP-compatible client.
019d849b-a5fa-7337-a4f5-a237a32b6208 How to set up Weatherbit MCP
The bottom line is that you just talk to your AI client and it pulls complex environmental data from the cloud for you.
Subscribe to this MCP and input your Weatherbit API Key.
Your agent calls the desired function, passing coordinates or a city name as required.
The data returns specific metrics, like current temperature or 16-day forecasts, directly into your chat window.
Who uses Weatherbit MCP
Anyone who needs location-specific, time-sensitive environmental data. This hits operations managers running logistics, field engineers planning site visits, or climate researchers needing decades of comparable records.
Determines if a multi-day shipment route needs to be delayed due to predicted high winds or heavy rain in specific cities.
Runs comparative analysis by pulling historical weather data and comparing it against modern air quality readings for academic papers.
Checks immediate severe weather alerts before dispatching crews to a remote site, ensuring safety protocols are met.
Benefits of connecting Weatherbit MCP
Stop checking separate sites for pollution and weather. This MCP bundles air quality readings (PM2.5, Ozone) right alongside real-time conditions using the get_air_quality tool.
Need to plan beyond a few days? The daily forecast tools give you up to 16 full days of predictions, letting you see temperature ranges and rain chances for an entire trip.
Climate researchers can pull deep metrics. Use get_historical_weather to access accurate data spanning thirty years, making longitudinal studies simple.
You don't need coordinates every time. Both current weather tools let your agent get conditions just by knowing the city name, saving you a step.
Safety planning is easier. Instead of guessing, use get_weather_alerts to pull official warnings and watches for dangerous severe weather in an area.
Weatherbit MCP use cases
Planning a remote construction site visit
An ops manager asks their agent: 'What's the forecast for Site X next week, and is the air quality okay?' The agent uses get_forecast_daily_by_city to check temperatures and then runs get_air_quality to ensure workers can safely operate outdoors.
Analyzing long-term agricultural trends
A researcher needs to prove a correlation between drought severity and crop yield. They ask the agent to pull 30 years of data using get_historical_weather for that specific region, allowing them to build a solid dataset.
Responding to an immediate storm threat
A dispatcher asks: 'Is there any severe weather impacting Sector Beta right now?' The agent immediately runs get_weather_alerts and uses get_severe_weather to provide actionable, current safety information.
Optimizing a local outdoor event
A festival organizer needs hourly details. They ask the agent for get_forecast_hourly_by_city to track potential wind shifts and rain probability throughout the day, letting them make real-time decisions on setup.
Weatherbit MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Using multiple APIs manually
Opening Google for current weather, then checking a separate government site for pollution data, and finally consulting an academic database for historical metrics. This takes 20 minutes.
Connect this MCP to your agent. Your agent handles the sequencing; it uses get_current_weather for real-time data and get_air_quality in one request.
Missing temporal context
Only checking today's temperature and ignoring how that compares to last month or next week. You miss critical planning details.
Always ask the agent for both current data and future predictions, combining get_forecast_daily with get_current_weather in a single conversation.
Assuming uniform risk
Just knowing it's 'rainy' is not enough. You need to know if it's severe, like flash flooding or hail.
Don't stop at general forecasts. Always run get_weather_alerts and get_severe_weather first before planning based on basic temperature readings.
When to use Weatherbit MCP
Use this MCP if your task requires location-specific environmental metrics that span multiple data types: current weather, pollution levels, or long-term climate history. If you only need simple, general text descriptions of the weather (e.g., 'Cloudy'), a basic web search might suffice. However, if you need specific numbers—like PM2.5 concentrations, 16-day temperature ranges, or historical wind speeds—you must use this MCP's specialized tools. Don't use this if your only goal is to calculate something that doesn't involve physical geography (e.g., calculating financial risk). For those cases, stick to a pure data warehouse connector instead.
Frequently asked questions about Weatherbit MCP
Can Weatherbit MCP give me air quality data for my location? +
Yes. Use the get_air_quality tool to pull specific pollutant metrics like PM2.5, Ozone (O3), and CO concentrations based on coordinates.
How far into the future can I use get_forecast_daily_by_city? +
The get_forecast_daily_by_city tool provides daily forecasts for up to 16 days, giving you a full two-week outlook.
What kind of historical data does get_historical_weather provide? +
This function accesses decades of weather records. You can retrieve metrics like temperature, wind speed, and precipitation for dates spanning the last 30 years by coordinates.
Does Weatherbit MCP warn me about storms? +
Yes. Use get_weather_alerts to get active official warnings for severe conditions, or use get_severe_weather to query reports on recent events like floods or tornadoes.
Can I check the weather using just a city name? +
Absolutely. You can use both get_current_weather_by_city and get_forecast_daily_by_city to get conditions without needing precise coordinates.