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How to Use the AirVisual MCP in VS Code Copilot

Give your entire engineering team instant access to global air quality data inside VS Code Copilot.

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Works with every AI agent you already use

…and any MCP-compatible client

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VS Code Copilot

Connect AirVisual MCP to VS Code Copilot

Create your Vinkius account to connect AirVisual to VS Code Copilot 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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Standardize tools across your team

Commit a `.vscode/mcp.json` file to your repository with the AirVisual server configuration. That's it. Now every developer on the team gets the same set of tools, automatically. No individual setup needed. When a developer asks Copilot to fetch data with `get_city_data`, it works the same way for everyone. This eliminates the 'works on my machine' problem for AI-powered development and keeps your team's output consistent.

Ground code suggestions in reality

Copilot's code suggestions get a lot smarter when they can access live data. Ask it to 'write a Python script to check air quality in all supported cities in California,' and it will use `list_cities` and `get_city_data` to generate a script that actually runs. This is a big step up from suggestions based on generic training data. Your agent can build functions, write tests, and scaffold scripts using the real data structures it will encounter in production.

An Enterprise-Ready MCP Server for Copilot

The AirVisual server is managed by Vinkius, so your team doesn't have to worry about API keys, hosting, or maintenance. It fits directly into an enterprise workflow where security and stability are priorities. Because it's a managed MCP server, it integrates with VS Code's trusted environment. IT can approve its use, and developers get powerful new capabilities without introducing security risks or infrastructure overhead.

Setup guide

Set up AirVisual MCP in VS Code Copilot

Prerequisites

  • VS Code 1.99 or later with GitHub Copilot extension
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.

  2. 2

    Add the AirVisual MCP

    Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Switch to Agent mode

    Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.

  4. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the AirVisual tools listed. Try asking: "List my recent AirVisual transactions" and Copilot will invoke them automatically.

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

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

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

Built-in savings

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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 VS Code Copilot

Create a `.vscode/mcp.json` file in your project's root folder and add the Vinkius server details. Once you commit and push that file, everyone on the team who pulls the repo will have access to the AirVisual tools in Copilot.
Yes. You can instruct the agent to use tools like `get_station_data` to fetch live data for a specific monitoring station and then write a test that asserts the structure or values of the response. It's great for building resilient tests.
The server itself performs a specific task, while Vinkius, the hosting platform, provides the enterprise-grade security controls. Vinkius operates within a SOC 2 compliant environment, ensuring your data is handled securely.
Nothing, for you. The MCP server is managed by Vinkius. If the underlying AirVisual API is updated, the server is updated to match, ensuring the tools you use in Copilot continue to work without any changes to your code.
The server uses location data you provide—city names, states, countries, IP addresses, or GPS coordinates—to find air quality information. All requests run in Vinkius's V8 Isolate sandboxes. Your location data is processed for the query and then immediately destroyed.

Start using the AirVisual MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for AirVisual. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

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