Open-Meteo Air Quality MCP. Assess Pollution, Pollen, and Sun Risk in One Query
Open-Meteo Air Quality gives your agent real-time environmental intelligence for health and planning. It assesses air safety using pollutant concentrations (PM2.5, ozone, etc.), provides European and US AQI indexes, predicts pollen counts for allergy sufferers, and tracks the UV index across any location.
Give Claude and any AI agent real-world access
Retrieve current levels for major air pollutants like PM2.5, ozone, and nitrogen dioxide at any specified location.
Calculate standard Air Quality Index (AQI) scores using both US and European methodologies for immediate risk assessment.
Get detailed pollen counts, including birch, grass, and ragweed, to help manage allergy exposure planning.
Check the current and predicted UV index for a location so you can advise on sun protection safety.
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What AI agents can do with Open-Meteo Air Quality: 4 Tools
These four tools allow your agent to gather a complete, multi-faceted environmental report by pulling data on pollutants, allergens, and sun risk.
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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 Open-Meteo Air Quality MCPGet Air Quality
Checks current concentrations for key pollutants like PM10, ozone, and carbon monoxide at any location.
Get Aqi Index
Retrieves the Air Quality Index using both US and European measurement standards for...
Get Pollen Forecast
Provides a detailed forecast of airborne allergens, including counts for birch...
Get Uv Index
Calculates the current and predicted UV index to warn users about sun exposure risk.
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Start with Open-Meteo Air Quality, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
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The Headache of Gathering Environmental Data
Today, if you're planning an outdoor event or advising clients on health risks, you’re forced into a tedious process. You open the local government website for smog reports; then you switch tabs to check pollen counts from an allergy site; and finally, you use a weather app just for the UV index. Copying dates, locations, and pollutant names between these three or four different platforms is time-consuming and prone to human error.
With this MCP, your agent handles all that clicking in one go. You simply ask it, 'What's the safety risk in Downtown Miami next Saturday?' And you get back a single report combining data from get_air_quality, get_pollen_forecast, and get_uv_index. It’s instant, reliable, and complete.
Get Comprehensive Air Quality Reports with Open-Meteo Air Quality
The manual effort of checking multiple pollutant types—from PM2.5 to carbon monoxide—and then having to manually calculate if the resulting index is 'Unhealthy' or 'Moderate' disappears entirely. Your agent handles both the raw data retrieval and the standardized rating via get_aqi_index.
Now, when you need an environmental report, you just ask for it. The system gathers every pollutant level, compares them against two global standards (US/EU), forecasts allergens, and checks UV risk—all without a single manual step.
What Open-Meteo Air Quality MCP does for your AI
Need to know if it's safe outside? This MCP lets your agent assess environmental risks by pulling real-time data from Open-Meteo. You don't have to jump between government websites or check five different dashboards just to plan a hike or manage an allergy flare-up. Your AI client can automatically pull together complex metrics, like cross-referencing high PM10 levels with a pollen forecast and the UV index for a specific zip code.
It provides pollutant concentrations—like nitrogen dioxide, sulfur dioxide, and carbon monoxide—so you know exactly what's in the air. It also calculates both US and European Air Quality Indexes (AQI) so your agent can give clear risk ratings. Plus, it tracks allergens through detailed pollen counts for birch, grass, and ragweed, giving health apps and outdoor planners crucial data points.
When you connect this to Vinkius, your agent gets a complete picture of the environment in one conversation.
019d75e7-4f55-7011-b4f7-2ba036f740d1 How to set up Open-Meteo Air Quality MCP
The bottom line is that your agent gives you a comprehensive safety report from multiple environmental sources without manual data stitching.
Your agent asks for a specific environmental report, providing the desired location (city/zip code) and timeframe.
This MCP runs multiple checks—for example, calling both get_air_quality and get_pollen_forecast simultaneously to gather diverse metrics.
The final output is synthesized by your AI client into a single, actionable summary detailing all pollutant levels, AQI scores, and forecasts.
Who uses Open-Meteo Air Quality MCP
Environmental consultants and public health apps developers need this. It's for anyone who has to advise groups or individuals on outdoor activity based on complex, changing metrics like pollution levels or allergy risks.
Uses the MCP to pull historical and current pollutant data (like get_air_quality) for different regions to advise citizens when outdoor activity is unsafe due to smog or high PM2.5.
Checks both the UV index using get_uv_index and the pollen forecast using get_pollen_forecast before recommending a hiking route, ensuring clients are prepared for sun and seasonal allergens.
Integrates get_aqi_index to give users instant visual risk scoring (US/European) alongside raw pollutant data, improving the app's core health feature.
Benefits of connecting Open-Meteo Air Quality MCP
You instantly combine metrics. Instead of checking pollutant levels with get_air_quality and then running a separate pollens check, your agent pulls both into one consolidated report.
It standardizes risk scoring using get_aqi_index. You don't have to worry about whether the local authority uses US or European standards; this MCP handles both calculations automatically.
Allergy planning gets precise. Using get_pollen_forecast, you can advise a user that outdoor activity is safe from smog but dangerous due to high birch counts.
Safety advice improves with get_uv_index. Your agent doesn't just say 'wear sunscreen'; it tells the user if UV levels are currently Very High or Moderate based on location and time.
It gives depth to reports. You can go beyond a simple 'Good/Bad' rating by accessing raw pollutant data for PM2.5, ozone, and NO₂ using get_air_quality.
Open-Meteo Air Quality MCP use cases
Planning an outdoor marathon route
An agent checks the proposed running path and pulls data from both get_air_quality (for current smog levels) and get_uv_index. It alerts the organizer that while pollution is moderate, UV levels are extreme, requiring mandatory hydration breaks.
Managing a seasonal asthma flare-up
A parent asks for air safety in the local park. The agent runs get_pollen_forecast and notes high grass pollen counts, while also checking get_air_quality to ensure low levels of ozone are present.
Writing a corporate environmental report
A consultant needs to compare air safety across three different cities. The agent uses get_aqi_index for all three locations, providing consistent US and European benchmark scores in the final document.
Advising on a weekend camping trip
Before booking, an agent checks the local forecast using both get_pollen_forecast (for seasonal allergies) and gets_uv_index to ensure campers pack enough sun protection for the specific time of day.
Open-Meteo Air Quality MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Checking only one pollutant
Only checking PM2.5 levels fails because high ozone or pollen might be a greater immediate risk to the user, leading to incomplete safety advice.
Always use get_air_quality for a full list of pollutants and pair it with get_pollen_forecast if any allergy symptoms are mentioned. This gives a complete picture.
Ignoring location specificity
Giving generic safety advice based on city-wide averages instead of the user's precise coordinates, which could be dangerous.
The MCP requires specific locations for every tool call. Ensure your prompt includes the exact zip code or neighborhood name.
Mixing up risk types
Confusing a high UV index with high pollution levels, and giving conflicting advice about sun exposure.
Use get_uv_index for solar risk and get_air_quality/get_aqi_index for atmospheric risk. Treat them as separate but equally important warnings.
When to use Open-Meteo Air Quality MCP
You should use this MCP if your primary concern is immediate, actionable environmental safety advice based on multiple metrics (pollution, allergens, sun). Specifically, if you need to know the difference between 'bad air' and 'high pollen count,' this tool handles that complexity. Don't use it if you are trying to track long-term pollution trends over years; for that, you'll need a database connection or historical data API. Also, don't rely solely on get_air_quality without checking the index; using both ensures your output is immediately understandable by non-experts. If your goal is purely mapping air quality against geological survey data, a dedicated GIS tool would be better than this MCP.
Frequently asked questions about Open-Meteo Air Quality MCP
How do I check air quality with Open-Meteo Air Quality MCP? +
You use the get_air_quality tool, providing the specific location and date. This retrieves concentrations for major pollutants like PM2.5, ozone, and sulfur dioxide.
Does this MCP only give US AQI scores? (get_aqi_index) +
No, it gives both the European and US Air Quality Index standards. This means your agent provides two separate risk ratings for complete coverage.
How do I know if pollen is bad for my pet? +
While this MCP focuses on human health metrics, get_pollen_forecast provides detailed counts for birch and grass that you can correlate with known pet sensitivities.
What does the UV index tell me? (get_uv_index) +
The tool calculates your sun exposure risk. It tells you if you need SPF 50+ or if it's safe to be out without much protection.
Can I check multiple pollutants at once? (get_air_quality) +
Yes, the get_air_quality tool is designed to retrieve a full suite of pollutants—PM10, Ozone, NO₂, SO₂, and CO—in one single data pull.