How to Use the AirVisual MCP in Cursor

Q: How do I set up the AirVisual server for my whole team in Cursor?

Add the Vinkius server URL to a .cursor/mcp.json file in your project's root directory. Commit that file to your git repository. Now, every developer on the team will have the AirVisual tools available automatically.

Stop mocking location data. Inject live AirVisual AQI and weather directly into your code with Cursor's agent.

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Connect AirVisual MCP to Cursor

Create your Vinkius account to connect AirVisual to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AirVisual with Cursor

Ask AI about this MCP

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Claude

Perplexity

Generate code with real-world data

Tell Cursor's agent to build a weather widget for your app. It won't use placeholder text. It will call `get_city_data` for 'London', get the real AQI and temperature, and generate a React component that’s already wired up to a live response. This changes how you build UIs. Instead of coding against a static mock file, you're working with the actual data structure from the start. Your code works with the live API from the first draft.

Test functions with actual API responses

Need to write a unit test for a function that handles geolocated data? Don't bother creating fake JSON. Just ask the agent to call `get_nearest_city_by_coords` with test coordinates and pipe the real API response right into your test file. You can validate your data parsing and error handling against the real thing. Use `list_cities` and `list_states` to generate test cases that cover entire regions, making your tests much more thorough.

A shared MCP Server for your whole team

Set up the AirVisual MCP server once in your project's `.cursor/mcp.json` file. Now, anyone who opens the project in Cursor has access to the same tools. No one has to configure anything on their own machine. This makes collaboration way simpler. When your agent uses `get_station_data` to debug an issue, your teammate's agent can call the exact same tool with the same parameters. It keeps everyone's development environment in sync.

Setup guide

Set up AirVisual MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the AirVisual MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent AirVisual transactions." If the MCP tools are loaded correctly, Cursor will call the AirVisual tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "airvisual-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AirVisual. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AirVisual MCP in Cursor

When you're in Agent mode, you can ask Cursor to fetch data. It will call the AirVisual MCP server's tools, like `get_city_data`, get a JSON response, and then use that data to write or modify your code directly in the editor.

Yes, that's a perfect use case. You can have Cursor's agent call `list_countries` or `list_states` and then generate the code for a dropdown menu populated with the results.

Add the Vinkius server URL to a `.cursor/mcp.json` file in your project's root directory. Commit that file to your git repository. Now, every developer on the team will have the AirVisual tools available automatically.

No. You can use it for any coding task in Cursor. That includes writing Python scripts for data analysis, building backend services in Go, or creating mobile app components that need weather data.

This MCP server processes location info—like an IP address or coordinates—to fetch air quality data. Your data is handled within a zero-trust environment on Vinkius. Each request is sandboxed, meaning the data exists only long enough to get your answer and is never stored.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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