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Weatherbit MCP. Get accurate forecasts from current conditions to 30-year climate data.

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Weatherbit MCP Server gets you global weather data on demand. Check real-time conditions, generate multi-day or hourly forecasts, and pull historical climate records spanning 30 years.

It also gives detailed air quality readings (AQI, PM2.5) for any location worldwide.

What your AI agents can do

Get air quality

Retrieves the AQI score and concentration levels for key pollutants (PM2.5, O3, etc.) at given coordinates.

Get current weather

Returns real-time weather details including temperature, humidity, wind, and UV index using geographical coordinates.

Get current weather by city

Provides current weather conditions (temp, wind, cloud cover) for a specified city name.

+ 7 more capabilities included
Retrieve real-time weather conditions

The agent fetches current temperature, wind speed, and humidity for a specified location.

Generate multi-day forecasts

You get daily high/low temperatures, precipitation probability, and UV indexes for up to 16 days ahead.

Calculate hourly projections

The system returns temperature, wind, and cloud cover details for every hour over the next ten days.

Analyze historical climate data

You retrieve detailed metrics like precipitation and wind speed for any date within the last 30 years.

Monitor air pollution levels

The agent returns a full suite of air quality indices, including PM2.5, O3, and CO readings.

Identify severe weather events

You query recent reports on major weather activity like tornadoes or floods in a specific area.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Weatherbit MCP Server: 10 Tools for Comprehensive Weather Data Access

These tools let your agent access every type of weather data—from current conditions and multi-day forecasts to deep historical records and air quality reports.

get019d849b

get air quality

Retrieves the AQI score and concentration levels for key pollutants (PM2.5, O3, etc.) at given coordinates.

get019d849b

get current weather

Returns real-time weather details including temperature, humidity, wind, and UV index using geographical coordinates.

get019d849b

get current weather by city

Provides current weather conditions (temp, wind, cloud cover) for a specified city name.

get019d849b

get forecast daily

Returns daily high/low temperatures, precipitation probability, and general forecast details using geographical coordinates.

get019d849b

get forecast daily by city

Generates a multi-day weather outlook (up to 16 days) based on the city name.

get019d849b

get forecast hourly

Returns detailed hourly temperature, wind, and precipitation probability using geographical coordinates.

get019d849b

get forecast hourly by city

Provides an hour-by-hour weather forecast for a specified city name.

get019d849b

get historical weather

Pulls historical metrics—like temperature and wind—for any date within the past 30 years using coordinates.

get019d849b

get severe weather

Queries recent severe weather reports, helping track activity like floods or high winds in an area.

get019d849b

get weather alerts

Retrieves active and upcoming severe weather warnings, including their type, severity, and affected zones.

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What you can do with this MCP connector

You're hooking your agent up with Weatherbit, and suddenly you've got global weather data on demand. It handles everything from checking if it's going to rain tomorrow to digging into climate records from thirty years ago. You don't need to mess with multiple APIs; you just let your AI client call the right function.

Getting Real-Time Conditions

When you need to know what's happening outside right now, you use get_current_weather or get_current_weather_by_city. If you pass coordinates, get_current_weather gives you immediate details: the temperature, humidity level, wind speed, and UV index for that exact spot. Need to check a place by name instead? Use get_current_weather_by_city; it pulls current temp, wind, and cloud cover for any major city.

Forecasting Out

The server lets you plan ahead with multiple forecast depths. For a general look at the week's weather, call get_forecast_daily_by_city. This tool generates a multi-day outlook—you get daily high and low temperatures, plus the probability of precipitation for up to 16 days out. If you prefer coordinates, get_forecast_daily gives you that same high/low temperature range and general forecast details based on latitude and longitude.

For pinpoint accuracy, check the hourly projections. Use get_forecast_hourly_by_city if you're working with a city name; it spits out an hour-by-hour weather breakdown for the next ten days. If coordinates are your thing, get_forecast_hourly does the same thing, giving you detailed temperature shifts, wind changes, and precipitation probability every single hour.

Climate Deep Dives & Safety

For serious research, forget simple predictions. You can access historical data using get_historical_weather. Just give it coordinates and a date within the last 30 years, and you get metrics like temperature readings and wind speed for that exact time. When bad weather hits, you don't have to guess what's coming; run get_weather_alerts to pull active or upcoming severe warnings.

This tool tells you the warning type, its severity level, and exactly which zones are affected. For immediate threat tracking, use get_severe_weather, which queries recent reports on major activity like floods or high winds in a specific area.

Air Quality Monitoring

Tracking air pollution is straightforward with get_air_quality. Just passing coordinates lets the agent retrieve the full Air Quality Index (AQI) score and concentration levels for key pollutants. You get readings for particulate matter like PM2.5, ozone (O3), and more, letting you know if the air's clean enough to breathe.

Here’s what that means in practice: If your user asks for current conditions by city name, your agent calls get_current_weather_by_city. If they ask about a specific pollutant reading, it hits get_air_quality. If the user needs to know if they should pack rain gear for next Tuesday, you send them to get_forecast_daily_by_city or maybe get_forecast_hourly if they're worried about timing.

You can pull historical wind data from 1993 using get_historical_weather, and check for active tornado warnings with get_weather_alerts. It’s a comprehensive kit that handles everything you need, from the moment-to-moment temperature to multi-decade climate reports.

How Weatherbit MCP Works

  1. 1 Subscribe to the Weatherbit server and input your API key.
  2. 2 Your AI client sends a natural language request, specifying location (city/coords) and time scale (current/daily/historical).
  3. 3 The agent routes the request through the appropriate tool (e.g., get_forecast_hourly_by_city) and receives structured weather data.

The bottom line is, you just ask for the weather in plain English; the server handles the API calls to get the precise metrics.

Who Is Weatherbit MCP For?

Anyone who relies on physical environment data—from field ops managers needing safety alerts to researchers studying climate change. If your job involves planning logistics or assessing risk based on location, this is for you.

Field Operations Manager

Uses get_severe_weather and get_forecast_daily_by_city to reschedule crews around predicted storms or extreme heat.

Climate Researcher

Runs get_historical_weather repeatedly across decades of data to model climate shifts for reports.

Supply Chain Planner

Checks the 16-day forecast using get_forecast_daily_by_city to anticipate delays due to predicted poor weather.

What Changes When You Connect

  • Check immediate status and future planning with get_current_weather or get_forecast_daily_by_city. You get everything—humidity, UV index, wind—in one call. No more juggling multiple weather sites.
  • Run deep climate analysis using get_historical_weather. This tool gives you metrics from 30+ years in the past, letting you compare current conditions against decades of data for research.
  • Avoid guesswork on trip planning. Use get_forecast_hourly_by_city to see exactly when rain or high winds are expected, down to the hour, so your agent can plan precise routes.
  • Improve safety protocols by monitoring alerts. The get_weather_alerts tool pulls active warnings and watches instantly, letting your client know about immediate dangers before you leave home.
  • Assess environmental impact with air quality data. Running get_air_quality gives you the full pollution picture (PM2.5, O3) right alongside the temperature reading—critical for health planning.

Real-World Use Cases

01

Planning a cross-country logistics run

A supply chain manager needs to know if a shipment across three states will face adverse conditions. They instruct their agent: 'Check the 16-day forecast for Chicago, Dallas, and Denver.' The agent uses get_forecast_daily_by_city three times, compiling all high/low temps and precipitation probabilities into one report, allowing the planner to adjust trucking routes days in advance.

02

Analyzing long-term farming risk

An agronomist needs proof of drought severity. They ask their agent to compare current conditions with past data: 'Show me average rainfall vs. 1980s levels for this coordinates.' The agent executes get_historical_weather and cross-references it with the current reading from get_current_weather, providing hard evidence for a climate report.

03

Preparing for an outdoor construction project

The site foreman needs to know exactly when workers can safely operate. He asks: 'What's the hourly forecast near coordinates X, Y?' The agent runs get_forecast_hourly, identifying that high winds are predicted between 10 AM and noon, so he schedules heavy lifting for the afternoon.

04

Evaluating a city move due to pollution

A potential resident wants to know about local air quality. They ask: 'What's the current AQI in this neighborhood?' The agent uses get_air_quality, providing not just the score (e.g., 65) but also detailed readings for PM2.5 and O3, allowing a precise comparison against their previous city.

The Tradeoffs

Only asking for 'the weather'

Asking the agent, 'What's going to happen with the weather in New York?' This is too vague and gives no actionable data.

Be specific. Instead of that, tell it: 'Give me the 16-day daily forecast for New York City.' Use get_forecast_daily_by_city to get a concrete timeline.

Confusing current vs. future data

Asking, 'What was the weather like last week?' This is ambiguous and might return random historical points.

If you need past metrics, specify the date range: 'Use get_historical_weather for coordinates X, Y on 2023-10-15.' If you need today's status, use get_current_weather_by_city.

Ignoring pollution metrics

Getting a temperature reading but assuming the air is clean. This ignores health risks.

Always pair weather checks with air quality data by calling get_air_quality immediately after getting current conditions. This gives you both temp and PM2.5.

When It Fits, When It Doesn't

Use this server if your request requires any location-based environmental data: temperature, wind, precipitation, or pollution levels (AQI). For immediate planning, use get_current_weather for coordinates or get_forecast_daily_by_city for city names. If you need maximum detail and time precision, always opt for the hourly tools (get_forecast_hourly). Don't use this if your request is purely conceptual (e.g., 'Write a poem about rain'). Also, don't rely on general search; if you are comparing years, run get_historical_weather directly. If you just need to know if it's raining right now, get_current_weather is enough; running the full 16-day forecast is overkill.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Weatherbit. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_air_quality get_current_weather get_current_weather_by_city get_forecast_daily get_forecast_daily_by_city get_forecast_hourly get_forecast_hourly_by_city get_historical_weather get_severe_weather get_weather_alerts

Manually checking weather across multiple systems wastes time and data points.

Right now, you have to hop between a general search for today's temperature, then click into a separate 'forecast' tab for the next week, and maybe open another window just to check if there are any severe warnings. It’s fragmented, time-consuming, and forces you to piece together an incomplete picture.

With Weatherbit MCP Server, your agent handles it all in one conversational thread. Ask for a 16-day outlook, and the agent uses `get_forecast_daily_by_city` to return temperatures, wind speed, precipitation probability, and UV index—all structured and ready to use.

Weatherbit MCP Server: Get air quality data alongside temp readings.

Today, you get the weather report (temp/rain) from one source, but then have to copy-paste those coordinates into a separate government site to check the AQI. This split process means your planning lacks critical health context—you know it's cold, but not if the smog makes that cold dangerous.

Now, you run `get_air_quality` and get PM2.5, O3, and NO2 metrics alongside the temperature data. You get a single, comprehensive picture: not just what the weather *is*, but how safe it is to be outside.

Common Questions About Weatherbit MCP

How do I get a Weatherbit API key? +

Sign up for free at weatherbit.io. Free tier includes 500 API calls/day.

Can I search by city name? +

Yes! Use get_current_weather_by_city or get_forecast_daily_by_city with city name and optional country code (e.g. city='London', country='GB').

How far ahead can I forecast? +

Daily forecast supports up to 16 days ahead. Hourly forecast supports up to 240 hours (10 days). Historical data goes back 30+ years.

Does it include air quality data? +

Yes! Use get_air_quality with coordinates to get AQI, PM2.5, PM10, O3, NO2, SO2 and CO concentrations with health recommendations.

What metrics does the get_historical_weather tool provide for past records? +

The tool returns temperature, precipitation, wind, and humidity. This lets researchers build climate models using data spanning over 30 years.

What information does the get_weather_alerts tool return about active warnings? +

It provides the alert type, severity level, a description, and precise effective/expiry times. Your agent knows exactly when a warning is active for an area.

When using get_current_weather, should I provide coordinates or a city name? +

Providing coordinates is the most accurate method because it ensures pinpoint precision regardless of the location's naming conventions. Use latitude and longitude for best results.

What level of detail does get_forecast_hourly give me? +

It returns temperature, precipitation probability, wind speed/direction, and humidity for every single hour. This granularity is perfect for detailed logistical planning.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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