Bring Air Quality
to LlamaIndex
Create your Vinkius account to connect OpenAQ to LlamaIndex and start using all 9 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the OpenAQ MCP Server?
Connect OpenAQ, the world's largest open air quality database, to any AI agent and monitor real-time pollution levels, track air quality trends, and access data from thousands of monitoring stations globally through natural language.
What you can do
- Live Monitoring — Get the latest PM2.5, O3, NO2, SO2, and CO readings from any location worldwide
- Historical Analysis — Query time-series measurement data with date range filters for trend analysis
- Location Discovery — Browse monitoring stations by country, city, or geographic area
- Sensor Tracking — View active sensor devices and their measurement parameters
- Parameter Reference — Look up all measurable air quality parameters with units and classifications
- Global Coverage — Access data from 100+ countries with thousands of active monitoring locations
How it works
- Subscribe to this server
- Enter your free OpenAQ API Key
- Start monitoring air quality from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (9)
Includes location counts and city counts per country. List countries with monitoring stations
Useful for getting current air quality status without querying full history. Get latest measurements per location
Get details for a specific location
Filter by country, city, parameter, or geographic bounding box. Returns location details including coordinates, sensor counts, and whether the station is an official monitor. List air quality monitoring locations
Filter by location, parameter, date range, and value range. Returns readings with timestamps. Get historical air quality measurements
Get details for a specific parameter
5, PM10, O3 (ozone), NO2, SO2, CO, etc. Includes units and whether each is a core parameter. List measurable air quality parameters
Get details for a specific sensor
Filter by location, parameter type, or active status. List air quality sensors
Why LlamaIndex?
LlamaIndex agents combine OpenAQ tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine OpenAQ tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain OpenAQ tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query OpenAQ, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what OpenAQ tools were called, what data was returned, and how it influenced the final answer
OpenAQ in LlamaIndex
Why run OpenAQ with Vinkius?
The OpenAQ connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 9 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect OpenAQ using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
OpenAQ and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect OpenAQ to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
OpenAQ for LlamaIndex
Every request between LlamaIndex and OpenAQ is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get an OpenAQ API Key?
Visit OpenAQ Platform, create a free account, and generate your API key from the dashboard. Free tier includes 1,000 requests/hour.
What air quality parameters can I monitor?
PM2.5, PM10, O3 (ozone), NO2, SO2, CO, BC (black carbon), and more. Use get_parameters to see the full list with units and classifications.
Can I get historical air quality data?
Yes! Use get_measurements with date_from and date_to parameters in ISO 8601 format to retrieve time-series data for any location and parameter.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query OpenAQ tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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