How to Use the BreezoMeter Air Quality & Pollen MCP in Mastra AI

Build automated health alert workflows in Mastra AI using real-time air quality and pollen data.

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Connect BreezoMeter Air Quality & Pollen MCP to Mastra AI

Create your Vinkius account to connect BreezoMeter Air Quality & Pollen 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 BreezoMeter Air Quality & Pollen with Mastra AI

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Automated AQI monitoring with Mastra AI

Use `get_air_quality` within your agent workflows to check local conditions before taking action. If the AQI hits a specific level, your agent can branch to a notification task. This setup lets your Mastra AI agents handle complex logic like retrying requests if the initial poll fails. It makes your backend operations reliable.

Triggering pollen alerts via MCP Server

Configure your agents to call `get_pollen_levels` on a schedule. If the count is high, you can trigger a downstream process to warn users. Since this MCP Server integrates with the workflow engine, you can define exactly what happens next. It’s a clean way to handle multi-step tasks without writing custom API clients.

Human-in-the-loop air quality checks

Enable tool approval so you can manually review the air quality data before the agent proceeds. It keeps your automated flows safe. You control the execution flow while the server provides the raw numbers. It’s a solid way to build production-grade monitoring systems.

Setup guide

Set up BreezoMeter Air Quality & Pollen 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 BreezoMeter Air Quality & Pollen 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: "breezometer-air-quality-pollen-mcp-client",
  servers: {
    "breezometer-air-quality-pollen-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent BreezoMeter Air Quality & Pollen transactions"
);
console.log(result.text);

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Common questions about BreezoMeter Air Quality & Pollen MCP in Mastra AI

You add the server URL to your agent configuration and list the tools. Once imported, your agent treats the AQI data like any other internal function.

Yes, you can configure exponential backoff in your Mastra workflow. If a network blip occurs, the agent will try again automatically.

You can absolutely use the tool output to drive branching logic. If the air quality is poor, the agent takes path A; otherwise, it takes path B.

It is built for persistent connections. Your agents can query it repeatedly throughout a long-running workflow without needing to re-authenticate.

We process your requests in a transient, memory-only environment. Your location strings are purged immediately after the response is sent to your agent.

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