How to Use the IBGE Censo & SIDRA — Dados Censitários MCP in Vercel AI SDK

Q: How do I stream large payloads from IBGE Censo & SIDRA — Dados Censitários without blocking the Vercel AI SDK?

Use getagregadodata to request only the specific geographic levels you need, like states or municipalities, rather than the entire country. This keeps the payload small and lets your Vercel AI SDK stream finish processing in milliseconds.

Q: How does Vercel AI SDK map variables returned by the IBGE Censo & SIDRA — Dados Censitários MCP Server?

Your agent calls getagregadometadados to understand the variables and classifications. Then, it maps those keys directly to your UI components while streaming the raw values.

Stream raw Brazilian census and IPCA inflation data directly into your React components using the Vercel AI SDK.

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Connect IBGE Censo & SIDRA — Dados Censitários MCP to Vercel AI SDK

Create your Vinkius account to connect IBGE Censo & SIDRA — Dados Censitários to Vercel AI SDK 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 Censo & SIDRA — Dados Censitários with Vercel AI SDK

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Stream SIDRA charts to your UI with Vercel AI SDK

Streaming Brazilian demographic datasets into your React application starts with calling `get_agregado_data` to fetch live SIDRA tables. By pairing this MCP Server with `streamText`, your application can pull specific variables and render them piece-by-piece as the raw JSON arrives from IBGE. You don't need intermediate backend APIs to format the SIDRA payload before sending it to your frontend. Your UI components can map the statistical levels like state or municipality directly from the stream, keeping the entire data-fetching loop inside Edge-compatible functions.

Dynamic metadata resolution in your React frontend

Searching through thousands of SIDRA tables dynamically requires using the `list_agregados` tool to find exact statistical series. Your agent uses this search capability to locate the precise economic indicators your users need on the fly. Once the table is selected, the client triggers `get_agregado_metadados` to populate dropdowns with the correct classifications and variables. This means your interface adapts dynamically to whether they are looking at IPCA inflation or agricultural yields.

Resolve temporal ranges before querying

Checking available Brazilian census dates before requesting data points is managed by invoking `get_agregado_periodos`. This prevents the Vercel AI SDK from making invalid requests to the IBGE servers. Your Vercel AI SDK application gets the exact temporal bounds first, ensuring every SIDRA data query you run through the MCP Server succeeds on the first try.

Setup guide

Set up IBGE Censo & SIDRA — Dados Censitários MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all IBGE Censo & SIDRA — Dados Censitários tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent IBGE Censo & SIDRA — Dados Censitários transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IBGE. 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.

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Common questions about IBGE Censo & SIDRA — Dados Censitários MCP in Vercel AI SDK

Use `get_agregado_data` to request only the specific geographic levels you need, like states or municipalities, rather than the entire country. This keeps the payload small and lets your Vercel AI SDK stream finish processing in milliseconds.

Yes, this MCP Server runs in a sandboxed environment, allowing your Vercel AI SDK application to query IBGE Censo & SIDRA — Dados Censitários via standard HTTP transport. It won't bloat your Edge runtime footprint.

Your agent calls `get_agregado_metadados` to understand the variables and classifications. Then, it maps those keys directly to your UI components while streaming the raw values.

No, Vinkius manages the connection to the SIDRA endpoints. Your application only needs one secure token to access all census and inflation data through the MCP Server interface.

Yes, all queries for IPCA inflation, GDP, and demographic variables are processed through isolated, ephemeral sandboxes. No statistical queries or raw data values are ever stored or used for training.

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