How to Use the IBGE Pesquisas — Brasil Cidades MCP in Mastra AI

Build resilient policy workflows in Mastra AI by automating municipal data retrieval and analysis.

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Connect IBGE Pesquisas — Brasil Cidades MCP to Mastra AI

Create your Vinkius account to connect IBGE Pesquisas — Brasil Cidades 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 IBGE Pesquisas — Brasil Cidades with Mastra AI

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Perplexity

Automated data workflows

Chain `list_pesquisas` with `get_resultados` inside your Mastra agents to build complex logic. If a survey is missing, your workflow can branch to an error handler or request a different dataset. It handles the heavy lifting of sequential data gathering. You define the steps, and the agent executes them until it finds the specific municipal data you need.

Conditional policy analysis

Use `get_ranking_indicador` to trigger logic based on performance tiers. If a city ranks below a threshold, your Mastra workflow can automatically flag it for review. This creates a system that reacts to data changes without manual oversight. You set the rules; the agent does the deep dive into the numbers.

Robust tool error management

Define retry policies for `get_indicadores` within your Mastra agent configuration. If the connection drops or the server is busy, the agent handles the backoff automatically. It makes your infrastructure reliable. You aren't just calling APIs; you are building a resilient agent that ensures your policy insights are always based on the latest available facts.

Setup guide

Set up IBGE Pesquisas — Brasil Cidades 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 IBGE Pesquisas — Brasil Cidades 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: "ibge-pesquisas-brasil-cidades-mcp-client",
  servers: {
    "ibge-pesquisas-brasil-cidades-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent IBGE Pesquisas — Brasil Cidades transactions"
);
console.log(result.text);

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Common questions about IBGE Pesquisas — Brasil Cidades MCP in Mastra AI

You instantiate the MCP client within your Mastra project and spread the toolset into your agents. It connects via HTTP, allowing your agents to start querying municipalities instantly.

Yes, you can configure Mastra to automatically retry failed tool calls. This is essential for maintaining a steady flow of data during long-running analytical tasks.

The server uses cryptographically signed endpoint tokens to verify requests. Every interaction is logged at the MCP layer, keeping your data pipeline transparent and secure.

Absolutely. Mastra lets you require approval before an agent executes a tool call. You can confirm the query parameters before the agent touches the IBGE database.

The server strictly deals with public socioeconomic indicators. It avoids any raw data that could lead to the identification of individuals, adhering to standard open-data protocols.

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