Iqair Airvisual

@iqair-airvisual what's the current air quality in Seattle, Washington? Include the main pollutant and health recommendations.

Seattle, Washington currently has an AQI of 42 (Good). The dominant pollutant is PM2.5 at 10.2 µg/m³. Temperature is 52°F with 78% humidity. Health recommendation: Air quality is satisfactory; outdoor activities are safe for all groups. Wind speed is 8 mph from the northwest. This data was last updated 23 minutes ago from the nearest monitoring station.

This example shows the MCP's core read capability: fetching real-time AQI data with pollutant breakdowns. Requires an API key with city-level access. Note that IQAir's free tier may limit requests to 10,000/month; responses reflect the most recent station reading, which can lag by 15-30 minutes depending on the monitoring network.

@iqair-airvisual get me a 3-day air quality forecast for Delhi, India so I can plan outdoor meetings this week.

Delhi, India 3-day AQI forecast: Today: 178 (Unhealthy), dominant pollutant PM2.5. Tomorrow: 165 (Unhealthy), PM2.5 remains primary concern. Day 3: 152 (Unhealthy for Sensitive Groups), slight improvement expected. Recommendation: Schedule indoor meetings or early morning slots when AQI typically dips 20-30 points lower. Sensitive individuals should avoid prolonged outdoor exposure all three days.

This demonstrates the forecast tool, useful for planning around pollution events. Forecasts are model-based predictions and can shift with weather changes; always cross-reference day-of readings. This feature requires a paid IQAir API plan in most regions. The MCP returns daily averages, not hourly granularity.

@iqair-airvisual compare historical AQI trends for Los Angeles over the past 30 days and summarize whether air quality is improving or worsening.

Los Angeles historical AQI (past 30 days): Average AQI was 68 (Moderate), with 18 days in the Good range (0-50) and 12 days Moderate (51-100). Peak reading was 94 on May 8th due to wildfire smoke. Trend analysis: AQI has improved 12% compared to the prior 30-day period, likely due to increased rainfall and reduced vehicle emissions. No days exceeded Unhealthy thresholds. Overall trajectory is stable-to-improving.

This example pairs the historical data tool with AI reasoning to surface trends a human would miss in raw numbers. The MCP provides daily AQI snapshots; the AI synthesizes them into actionable insight. Historical data depth varies by city—some stations offer years of records, others only weeks. Rate limits apply to bulk historical queries.

When outdoor work teams need real-time AQI routing

A 12-person landscaping crew uses Switchy to coordinate daily job assignments across three metro areas. The dispatcher pulls nearest-city AQI data each morning to flag hazardous zones and reschedule outdoor work when PM2.5 spikes above 150. The MCP's Get Nearest City Air Quality and Get Air Quality Forecast Data tools let the team automate this check without leaving their planning thread. The trade-off: if your crew works in rural areas outside the 10,000+ supported cities, coverage drops fast and you'll need manual lookups. This MCP wins when your service area overlaps urban monitoring networks and you schedule work at least 24 hours out. For teams running same-day dispatch in sparse regions, the station-level tools won't help enough to justify the integration.

When your product needs location-aware air quality alerts

A 6-person startup building a fitness app uses Switchy to triage support tickets and feature requests. Users in Delhi and Jakarta complain that outdoor workout recommendations ignore local pollution. The team uses the Get City Air Quality and Get Historical AQI Data tools to prototype a location-based advisory feature—pulling AQI by city name or GPS coordinates, then surfacing warnings when readings hit unhealthy thresholds. The MCP's 10 tools cover current conditions, forecasts, and historical trends, so the product team can validate the feature's data layer before committing engineering time. The catch: if your app needs sub-city granularity or real-time station updates every 15 minutes, the city-level endpoints are too coarse. This MCP is the right call when you're scoping an MVP health feature and need credible AQI data without building a weather API from scratch.

When outdoor event logistics depend on pollution forecasts

A 4-person event agency uses Switchy to manage vendor coordination and client approvals for outdoor festivals and corporate offsites. The planner checks Get Air Quality Forecast Data for each venue city 7-10 days before the event, flagging dates when AQI is forecast above 100 to recommend indoor backup plans or rescheduling. The MCP's forecast and historical tools let the team show clients data-backed recommendations in the same workspace where they're negotiating contracts. The limitation: forecasts are city-level aggregates, so if your venue is 20 miles upwind of the monitoring station, accuracy suffers. This integration makes sense when you're booking events in major metros with dense monitoring networks and your clients expect proactive risk management. For rural or small-town events, the sparse station coverage means you're better off checking local government sites manually.