Google Air Quality MCP. Check current AQI or run historical pollution reports.
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Google Air Quality provides universal air quality intelligence. Use it to get real-time AQI, identify dominant pollutants (PM2.5, NO2, etc.), and access up to 30 days of historical data.
It gives you actionable health advice for any specific coordinates, helping you plan outdoor events or check conditions for sensitive groups.
What your AI agents can do
Get air quality history
Retrieves air quality data for a specific time range, allowing you to analyze past pollution trends.
Get current air quality
Gets the current Universal Air Quality Index and pollutant data for any given location.
Retrieves the immediate Universal Air Quality Index (UAQI) and dominant pollutants for a given set of coordinates.
Gathers up to 720 hours of historical air quality data, allowing you to track pollution changes over time.
Pinpoints the specific levels of key pollutants (like PM2.5, NO2) at a location.
Provides tailored health recommendations for specific groups (children, elderly) based on the air quality reading.
Uses latitude and longitude to pull all relevant environmental data for a specific point on Earth.
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Supported MCP Clients
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Google Air Quality MCP Server: 2 Tools for Air Data Access
Use these tools to fetch current air quality indexes and pull historical pollution records for detailed environmental analysis.
019d8442get air quality history
Retrieves air quality data for a specific time range, allowing you to analyze past pollution trends.
019d8442get current air quality
Gets the current Universal Air Quality Index and pollutant data for any given location.
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What you can do with this MCP connector
This server gives your AI client real-time environmental intelligence. You can use it to check current air quality, pinpoint specific pollutants, and even get health advice tailored for different groups. It draws on Google's data to give you actionable numbers for any location.
Using get_current_air_quality
When you need to know what the air's like right now, use this tool. You pass it coordinates, and it immediately returns the Universal Air Quality Index (UAQI) and the levels of dominant pollutants for that exact spot. You'll see the specific pollutant concentrations for things like PM2.5 and NO2.
Using get_air_quality_history
To track pollution changes, you'll use this tool. It pulls historical air quality data, letting you analyze pollution trends over a set time range. This means you can gather up to 720 hours of data to see how the air quality has shifted over time.
What You Can Do
- You can look up air quality using just latitude and longitude, pulling all relevant environmental data for that spot.
- The data lets you generate health advisories. It gives specific recommendations for sensitive groups—like kids or the elderly—based on the current air reading.
- You can determine the specific levels of key pollutants like PM2.5 and NO2 at a location. This isn't just a general reading; it's a detailed breakdown.
- You can analyze air quality trends by checking past data. This helps you plan outdoor events or check conditions for people with sensitive health needs. You'll get the immediate UAQI and pollutant breakdown you need to make smart decisions.
How Google Air Quality MCP Works
- 1 Subscribe to the server and provide your Google Maps API Key, ensuring the Air Quality API is active.
- 2 Your AI agent calls a tool (e.g.,
get_current_air_quality) and passes the required latitude/longitude coordinates. - 3 The server returns the UAQI, the list of dominant pollutants, and any associated health advice directly to your agent's context.
The bottom line is: you pass coordinates to the server, and it sends back a structured report on the air's current and historical quality.
Who Is Google Air Quality MCP For?
This is for environmental consultants, public health tech developers, and real estate firms. Use it if your application needs to quantify environmental risk or advise on outdoor safety. It replaces manual data gathering from disparate government APIs.
Checks current and historical air quality around outbreak sites to advise on safe outdoor activity levels for vulnerable populations.
Verifies air quality for outdoor festivals or sporting events, adjusting plans if the UAQI is poor.
Runs trend analysis by pulling 720 hours of historical data to model pollution decay rates in urban areas.
Provides buyers with environmental due diligence, showing historical air quality trends for a specific property address.
What Changes When You Connect
- Instantly check the current air quality (UAQI) anywhere. The
get_current_air_qualitytool gives you the real-time index and identifies the main pollutant at any coordinate. - Analyze long-term pollution patterns. The
get_air_quality_historytool pulls up to 720 hours of data, letting you model pollution trends over weeks. - Know the specific health risks. The server provides tailored health advice for kids, elderly, and sensitive groups based on the current reading.
- Pinpoint pollutant sources. You don't just get an AQI number; you get a breakdown of dominant pollutants like PM2.5 and O3.
- Ground your reports in facts. Use the historical data to support claims about air quality degradation or improvement over time.
Real-World Use Cases
Planning an outdoor marathon
An event organizer needs to know if a race is safe. They ask their agent to run get_current_air_quality for the start line. The agent gets the UAQI, sees the dominant pollutant is high, and advises the organizer to delay the event or mandate mask use.
Assessing a property's air quality
A real estate agent needs to give a buyer peace of mind. They run get_air_quality_history for the property's coordinates, generating a trend report that proves the air quality has improved over the last quarter.
Investigating urban pollution spikes
A researcher tracks pollution. They ask the agent to use get_air_quality_history for a specific intersection over the last 72 hours. The agent identifies the precise time window when PM2.5 spiked, giving the researcher a clear data point for a white paper.
Managing a school's outdoor play schedule
A school administrator needs to keep kids safe. They ask the agent to check the air quality now. The agent uses get_current_air_quality and, seeing the UAQI is 'Poor' with high O3, automatically recommends moving activities indoors.
The Tradeoffs
Treating air quality as a single number
The developer assumes the agent only needs the UAQI number, so they just call a basic 'get_aqi' function. This misses critical context and doesn't help with planning.
→
You must check both the current index and the pollutant breakdown. Use get_current_air_quality to get the UAQI, then ask the agent to identify the dominant pollutants to understand why the index is what it is.
Only looking at today's data
An environmental group reports on poor air quality, but they only use data from the last 24 hours, making their conclusions weak and non-comparative.
→
Use get_air_quality_history to pull a longer time range. Analyzing 720 hours of data gives you the necessary trend analysis to make a strong, defensible argument.
Hardcoding locations
Writing logic that assumes air quality data is available only for major city centers, forgetting that data varies block-by-block.
→ Always pass specific latitude and longitude coordinates to both tools. The system requires precise coordinates to deliver accurate, hyper-local readings.
When It Fits, When It Doesn't
Use this server if your application needs to translate environmental measurements into actionable, location-specific health advice. You need to know if it's safe to be outside and why. Don't use this if you just need general weather forecasts—use a standard weather API. You also shouldn't use it if your data needs are purely conceptual (e.g., 'How polluted is the city?'); you must specify coordinates. If you need to compare air quality across many different, fixed locations over long periods, the historical data from get_air_quality_history is essential. If you only care about what's happening right now, get_current_air_quality is sufficient.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Air Quality. 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 2 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Figuring out if outdoor activity is safe shouldn't be a guessing game.
Before this, checking air quality meant jumping between government websites or running into a wall of confusing metrics. You'd copy coordinates here, paste them there, and spend time trying to figure out if the 'Air Quality Index' number actually meant anything for your kids or a group event.
Now, your agent handles it. You ask, 'Is it safe to run here?' and the agent uses the Google Air Quality MCP Server to instantly pull the UAQI, the pollutant breakdown, and direct health advice. You get a clear 'go/no-go' answer, no manual cross-referencing needed.
Google Air Quality MCP Server: Get real-time air data.
You no longer have to manually track pollution spikes across multiple days. You just call `get_air_quality_history` and retrieve up to 720 hours of data. This gives you the full picture—the spikes, the dips, and the overall trend—in one clean dataset.
This changes everything. You build reliable, data-backed workflows that prove environmental conditions over time, instead of relying on a single, potentially misleading snapshot.
Common Questions About Google Air Quality MCP
How do I use the `get_current_air_quality` tool? +
The get_current_air_quality tool requires a specific latitude and longitude. Pass those coordinates to the agent, and it returns the current UAQI, dominant pollutant, and immediate health warnings.
What is the difference between `get_air_quality_history` and `get_current_air_quality`? +
get_air_quality_history pulls data over a time range (up to 720 hours) for trend analysis. get_current_air_quality only gives you the immediate, real-time reading.
Does Google Air Quality handle different types of pollutants? +
Yes. Besides the main UAQI, the server identifies specific pollutants like PM2.5, NO2, and O3, giving you a detailed breakdown of what's causing the air quality reading.
Is the data reliable for planning large events? +
Yes. The server pulls data from Google's massive environmental data layer, providing accurate, reliable metrics for planning everything from festivals to athletic events.
What is required to use the `get_current_air_quality` tool? +
You must provide a valid Google Maps API Key with the Air Quality API enabled. The system requires latitude and longitude coordinates to run the tool. Remember, the API key is essential for access.
Can `get_air_quality_history` handle multiple locations? +
Currently, the get_air_quality_history tool processes data for a single set of coordinates at a time. You'll need to run the tool multiple times and combine the results in your agent.
What happens if the air quality data is unavailable for a location? +
The tool returns an explicit error message if data is missing or if the coordinates are out of range. Your agent can then use this feedback to ask for different locations or check the API status.
How often can I call `get_current_air_quality` without hitting rate limits? +
Rate limits are governed by your Google Cloud project usage quota. Check the official Google Maps API documentation for specific call limits and potential cost implications.
What is the Universal Air Quality Index (UAQI)? +
The UAQI is Google's proprietary index that normalizes air quality measurements globally. It ranges from 0 to 100, where 100 is excellent and 0 is poor.
Can I check historical air quality for the past week? +
Yes. The get_air_quality_history tool allows you to retrieve up to 720 hours (30 days) of historical data for any coordinate.
Are there specific advice for outdoor sports? +
Yes. The health recommendations provide specific guidance for athletes and individuals performing intense physical activities outdoors based on the pollutant levels.
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