How to Use the INMET (Apitempo - Meteorologia) MCP in Mastra AI

Q: Can I use INMET (Apitempo - Meteorologia) with Mastra AI for automated alerts?

You can. By adding a workflow step that calls getforecastbycity, you can build logic that triggers notifications based on specific weather conditions.

Build complex weather-monitoring workflows in Mastra AI using official Brazilian government meteorological data.

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Connect INMET (Apitempo - Meteorologia) MCP to Mastra AI

Create your Vinkius account to connect INMET (Apitempo - Meteorologia) 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 INMET (Apitempo - Meteorologia) with Mastra AI

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Automated monitoring with Mastra AI

Create agent workflows that poll `get_meteorological_data_by_region` to trigger alerts for extreme weather. Use conditional branching to decide when to notify your team. Your agent logic handles the heavy lifting. It acts on the data without requiring a human to check the dashboard manually.

Multi-step weather analysis in Mastra AI

Chain together `list_stations` and `get_station_data_hourly` to build a comprehensive view of regional climate patterns. Your agents can verify station status before pulling telemetry. This ensures your workflow doesn't fail on missing data. It gracefully handles the data fetching sequence across your defined steps.

Reliable data retrieval in Mastra AI

Set up automated retries for `get_meteorological_data_by_date` to ensure your historical records remain consistent. The framework manages the connection to the server. This keeps your data pipeline stable. It ensures that transient network issues don't interrupt your background tasks.

Setup guide

Set up INMET (Apitempo - Meteorologia) 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 INMET (Apitempo - Meteorologia) 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: "inmet-apitempo-meteorologia-mcp-client",
  servers: {
    "inmet-apitempo-meteorologia-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent INMET (Apitempo - Meteorologia) transactions"
);
console.log(result.text);

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Common questions about INMET (Apitempo - Meteorologia) MCP in Mastra AI

Initialize the MCP client and pass the tools into your agent definition. The framework automatically detects the available functions for your workflows.

You can. By adding a workflow step that calls `get_forecast_by_city`, you can build logic that triggers notifications based on specific weather conditions.

It does. You can enable human-in-the-loop approval before the agent executes tools, ensuring you review requests before they reach the API.

The server pulls directly from the Brazilian National Institute of Meteorology. You are accessing the official government repository of weather records.

Communication is restricted to the specific endpoints required for your tools. No sensitive user information is shared, only requests for public weather telemetry.

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