PurpleAir MCP Server
Real-time air quality monitoring — access PM2.5, temperature, and pollution data from 50K+ sensors worldwide via AI.
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What is the PurpleAir MCP Server?
The PurpleAir MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to PurpleAir via 10 tools. Real-time air quality monitoring — access PM2.5, temperature, and pollution data from 50K+ sensors worldwide via AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate PurpleAir
Ask your AI agent "What's the air quality near San Francisco right now?" and get the answer without opening a single dashboard. With 10 tools connected to real PurpleAir data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
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PurpleAir MCP Server capabilities
10 toolsThese sensors measure air quality inside buildings, homes, and enclosed spaces. Useful for indoor air quality assessments, HVAC monitoring, and workspace health studies. Get all indoor PurpleAir sensors
These are sensors measuring ambient outdoor air quality. Returns current PM2.5, temperature, humidity and other measurements for each sensor. Useful for regional air quality monitoring, wildfire smoke tracking, and urban pollution studies. Get all outdoor (outside) PurpleAir sensors
5 (fine particulate matter) measurements. PM2.5 is the most important air quality indicator — particles smaller than 2.5 micrometers that can penetrate deep into lungs and bloodstream. Returns current PM2.5 concentrations along with location data. Essential for health advisories, wildfire smoke tracking, and urban pollution monitoring. Get sensors with PM2.5 measurements
Returns PM2.5, PM1.0, PM10.0 particle concentrations, temperature, humidity, pressure, VOC levels, and other measurements depending on the sensor model. Use the fields parameter to specify which measurements to return. Essential for monitoring air quality at a specific location. Get real-time data from a specific PurpleAir sensor
Returns time-series data for the requested fields (PM2.5, temperature, humidity, etc.) at regular intervals. Use start_timestamp and end_timestamp (Unix timestamps) to define the time range. The average parameter controls data aggregation (e.g. 60 for 1-minute averages, 3600 for hourly). Essential for analyzing air quality trends, identifying pollution events, and compliance reporting. Get historical air quality data from a PurpleAir sensor
Same functionality as get_sensor_history but returns data as CSV instead of JSON. Use for offline analysis, charting, or compliance reporting. Requires start_timestamp and end_timestamp parameters. Get historical sensor data in CSV format for analysis
Provide the northwest (nwlat, nwlng) and southeast (selat, selng) corner coordinates. Perfect for mapping air quality across a city, neighborhood, or region. Returns all sensors in the area with current readings. Use with fields parameter to customize returned data. Get all sensors within a geographic bounding box
Provide comma-separated sensor indices in the show_only parameter. Useful when you already know the sensor indices from a previous query and want to get fresh readings without fetching all sensors. Get data for specific sensor(s) by their indices
Internally uses a bounding box around the point to find nearby sensors. Useful for identifying the closest PurpleAir monitor to any address or coordinate. Returns sensors sorted by proximity with current air quality readings. Find PurpleAir sensors near a specific location
Use the location_type parameter to filter by sensor type (outside=0, inside=1). Use the fields parameter to specify which data fields to return (e.g. name,latitude,longitude,pm2.5_atm,temperature,humidity). By default returns basic sensor info. Use show_only to filter by specific sensor indices (comma-separated). Use modified_since (Unix timestamp) to get only sensors updated after a specific time. Results include sensor metadata and real-time air quality measurements. List PurpleAir air quality sensors with optional filters
What the PurpleAir MCP Server unlocks
Access the world's largest hyperlocal air quality dataset through PurpleAir — a global network of over 50,000 low-cost air quality sensors measuring PM2.5, PM10.0, temperature, humidity, pressure, and more. Connect PurpleAir to your AI agent to monitor real-time air quality, track wildfire smoke, analyze pollution trends, and access historical data for any location — all through natural conversation.
What you can do
- Real-Time Air Quality — Get current PM2.5 readings from sensors near any address or coordinate.
- Historical Analysis — Retrieve time-series data for trend analysis, pollution events, and compliance reporting.
- Geographic Mapping — Find all sensors within a bounding box for city-wide or regional air quality mapping.
- Wildfire Smoke Tracking — Monitor PM2.5 spikes during wildfire events across affected areas.
- Indoor Air Quality — Access indoor sensor data for workplace health and HVAC optimization.
- CSV Export — Download historical data in CSV format for spreadsheet analysis.
- Location-Based Queries — Find the closest sensor to any GPS coordinate.
- Sensor Filtering — Filter sensors by type (indoor/outdoor), fields, and update recency.
How it works
1. Subscribe to this server
2. Enter your PurpleAir API Read Key
3. Start querying air quality data through Claude, Cursor, or any MCP-compatible client
Who is this for?
- Environmental Scientists — track pollution trends and validate air quality models.
- Public Health Officials — issue health advisories during poor air quality events.
- Wildfire Response Teams — monitor smoke impacts in real-time across affected communities.
- Real Estate Professionals — assess air quality for property evaluations.
Frequently asked questions about the PurpleAir MCP Server
How do I find air quality near my address?
Use the get_sensors_near_me tool with your latitude and longitude. Alternatively, search for sensors by bounding box using get_sensors_by_bounding_box with corner coordinates. The API will return nearby sensors with current PM2.5, temperature, and humidity readings.
Can I get historical air quality data?
Yes. Use get_sensor_history with a sensor index and time range (Unix timestamps). You can specify which fields to retrieve (PM2.5, temperature, humidity) and set an averaging interval (e.g. 3600 for hourly averages). For spreadsheet analysis, use get_sensor_history_csv to get data in CSV format.
What does PM2.5 mean and why is it important?
PM2.5 refers to fine particulate matter smaller than 2.5 micrometers — about 30 times smaller than a human hair. These particles can penetrate deep into lungs and enter the bloodstream, causing respiratory and cardiovascular health effects. The WHO guideline is 5 µg/m³ annual average. PurpleAir sensors measure PM2.5 in real-time, making them essential for health advisories and pollution monitoring.
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Give your AI agents the power of PurpleAir MCP Server
Production-grade PurpleAir MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.





