Overview
On paid plans it also works as an air quality index (AQI) API, returning the US EPA and UK DEFRA index categories alongside the raw readings, plus, with aqi=true, a 0-500 US AQI estimated from the current concentrations with the EPA breakpoint tables, its category, the pollutant driving it and the index for each pollutant. Air Quality works by retrieving the air quality data from various reliable sources and providing it in a structured format.
Live Test Air Quality Skill Skill →
The tool
Once your client is connected to the VerveKit server, this appears in its tool list as AirQualitySkill. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.
{
"name": "AirQualitySkill",
"arguments": {
"city": "San Francisco"
}
}You do not name the tool yourself; the model picks it. Asking about San Francisco in the terms this skill covers is enough for it to reach for AirQualitySkill on its own — naming it explicitly also works, and is the way to force the call.
Connecting
One server URL covers every skill in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.
{
"mcpServers": {
"vervekit": {
"url": "https://api.vervekit.com/v1/mcp"
}
}
}https://api.vervekit.com/v1/mcpPer-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.
Arguments
These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.
| Argument | Type | Description |
|---|---|---|
cityRequired | string | The city name for which you want to get the air quality data (e.g., New York). A name shared by several places resolves to the best-known one (Delhi is Delhi, India); add a state, province or country after a comma to pick another (e.g., Portland, Maine or London, Ontario) |
aqiOptionalPremium | boolean | Include the estimated 0-500 US AQI, its category, the dominant pollutant and the index for each pollutant |
What the model gets back
The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.
{
"status": "ok",
"error": null,
"data": {
"pm2_5": 16.75,
"pm10": 18.85,
"carbonMonoxide": 387.85,
"ozone": 9,
"nitrogenDioxide": 38.55,
"sulfurdioxide": 5.95,
"usEpaIndex": 2,
"gbDefraIndex": 2,
"aqi": 65,
"aqiCategory": "Moderate",
"dominantPollutant": "pm2_5",
"pollutantAqi": {
"pm2_5": 65,
"pm10": 17,
"ozone": 4,
"carbonMonoxide": 3,
"sulfurdioxide": 3,
"nitrogenDioxide": 19
},
"recommendation": "The air quality in San Francisco is moderate. It is generally safe to go outside, but unusually sensitive individuals may experience health effects.",
"city": "San Francisco"
}
}
Response fields
Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.
| Field | Type | Example | Description |
|---|---|---|---|
pm2_5 | number | 16.75 | Fine particulate matter concentration in micrograms per cubic meter |
pm10 | number | 18.85 | Coarse particulate matter concentration in micrograms per cubic meter |
carbonMonoxidePremium | number | 387.85 | Carbon monoxide concentration level in parts per billion |
ozonePremium | number | 9 | Ground-level ozone concentration in parts per billion |
nitrogenDioxidePremium | number | 38.55 | Nitrogen dioxide concentration level in parts per billion |
sulfurdioxidePremium | number | 5.95 | Sulfur dioxide concentration level in parts per billion |
usEpaIndexPremium | number | 2 | US EPA air quality index rating from one to six scale |
gbDefraIndexPremium | number | 2 | UK DEFRA air quality index rating from one to ten scale |
aqiPremium | number | 65 | Estimated US AQI (0-500) from the current readings, using the EPA breakpoint tables (with aqi=true) |
aqiCategoryPremium | string | Moderate | EPA category for the AQI: Good, Moderate, Unhealthy for Sensitive Groups, Unhealthy, Very Unhealthy or Hazardous (with aqi=true) |
dominantPollutantPremium | string | pm2_5 | The pollutant with the highest index, named as in this response (pm2_5, pm10, ozone, carbonMonoxide, sulfurdioxide, nitrogenDioxide) (with aqi=true) |
pollutantAqiPremium | object | {…} | Estimated AQI for each pollutant; null where the reading is missing (with aqi=true) |
pollutantAqi.pm2_5Premium | number | 65 | AQI for fine particulate matter |
pollutantAqi.pm10Premium | number | 17 | AQI for coarse particulate matter |
pollutantAqi.ozonePremium | number | 4 | AQI for ozone (8-hour table) |
pollutantAqi.carbonMonoxidePremium | number | 3 | AQI for carbon monoxide |
pollutantAqi.sulfurdioxidePremium | number | 3 | AQI for sulfur dioxide |
pollutantAqi.nitrogenDioxidePremium | number | 19 | AQI for nitrogen dioxide |
recommendation | string | The air quality in San Francisco is moderate. It is generally safe to go outside, but unusually sens… | Air quality assessment and health recommendation for the city |
city | string | San Francisco | The city name for which air quality data was retrieved |
Failure modes
Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.
| Status | What it means |
|---|---|
400 / 422 | The arguments did not validate. The message names the offending one. |
401 | The OAuth session is invalid or expired — reconnect the server. |
403 | Blocked by a key restriction or an IP allow-list. Never a bad identity. |
404 | This skill is not part of VerveKit. Check the catalog. |
429 | Out of credits, or a brief rate limit. The message tells them apart. |
A call costs 10 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.
Use cases
- HVAC Air Intake Automation
- Smart thermostat controllers read local PM2.5 and PM10 concentrations to automatically switch ventilation systems to internal recirculation during high pollution spikes.
- Outdoor Workout Planning
- Fitness mobile apps show runners actionable health recommendations and particulate ratings by city before they start an outdoor training session.
- Property Environmental Profiles
- Display local particulate measurements and health advice on real estate listings so buyers can evaluate neighborhood environmental quality.
- School Sports Scheduling
- When particulate counts exceed safe thresholds, athletic directors consult real-time pollution readings and health recommendations to move student practices indoors.
Other ways to use Air Quality Skill
Set up Air Quality Skill on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.
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