How to Use the IQAir MCP in Mastra AI

Build reliable air quality monitoring workflows in Mastra AI with automatic retries.

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Connect IQAir MCP to Mastra AI

Create your Vinkius account to connect IQAir to Mastra AI 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 IQAir with Mastra AI

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Claude

Perplexity

Automated regional monitoring

Create workflows that use `list_supported_countries` and `list_supported_states` to map out your coverage area. Mastra AI executes these steps in order and handles the logic for you. If one branch of your workflow fails, you can set a retry policy. It makes managing large datasets predictable and stable.

Conditional data fetching

Use `get_city_air_quality` within a Mastra AI workflow that checks thresholds. If pollution levels spike, the agent triggers an alert branch automatically. This lets you build logic that reacts to environmental changes. You don't have to monitor the data manually.

Verification loops

Add a human-in-the-loop step using `check_api_status` to verify the connection before your agent starts a long-running task. It ensures your Mastra AI agent isn't wasting tokens on a broken pipe. This keeps your workflow state consistent. You define the rules, and the agent follows them.

Setup guide

Set up IQAir MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All IQAir tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "iqair-mcp-client",
  servers: {
    "iqair-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "IQAir Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to IQAir tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent IQAir transactions"
);
console.log(result.text);

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Common questions about IQAir MCP in Mastra AI

Add the server URL to your Mastra client configuration. The framework will auto-detect the tools and make them available to your agent. Just spread the tools into your agent definition.

Yes. Define an exponential backoff policy in your workflow for the IQAir tools. If the API hits a rate limit, the agent will wait and try again.

It does. You can assign the tools to specific agents within your crew. Keep the air quality monitoring logic separate from your other agent tasks.

Use the list tools to populate your agent's memory. Once the agent has the list of supported cities, it can choose which ones to monitor based on your criteria.

The server processes inputs for the duration of the request only. No data is cached or stored long-term by the server. Your workflows remain isolated and secure.

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