How to Use the IBGE Serviços de Dados MCP in Vercel AI SDK

Q: How do I integrate IBGE Serviços de Dados with my AI SDK project?

You connect by using the @ai-sdk/mcp package. Initialize the client with your endpoint URL and pass the tool definitions directly into your generateText call.

Stream official Brazilian economic and demographic data directly into your AI SDK frontend for real-time, data-driven user experiences.

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Connect IBGE Serviços de Dados MCP to Vercel AI SDK

Create your Vinkius account to connect IBGE Serviços de Dados 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 Serviços de Dados with Vercel AI SDK

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Real-time IBGE data streaming

Pipe live Brazilian statistical data straight into your UI components using the `get_agregados` tool. Your users watch the data populate as the AI processes the request, avoiding the dead air of traditional loading states. This creates a tighter feedback loop for your application. Since it runs on Edge Functions, you get the latest `get_noticias` updates without adding latency to your user's session.

Geographic and sector mapping

Render precise regional insights by calling `get_malha_estado` to pull geographic meshes. Your AI client parses these coordinates to provide context-aware responses based on specific Brazilian states. Combine this with `get_cnae_classe` to categorize economic activities on the fly. You gain the ability to filter business data based on official national classifications within your own front-end logic.

Metadata and frequency analysis

Access the full library of research definitions with `get_metadados` to ensure your application interprets statistical data correctly. This keeps your front-end logic aligned with the latest IBGE research standards. Use `get_nomes_frequencia` to build dynamic demographic visualizations. By feeding these results into your charts, you give your users immediate, fact-based insights into Brazilian naming trends.

Setup guide

Set up IBGE Serviços de Dados 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 Serviços de Dados 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 Serviços de Dados transactions",
});

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

Get your connection token →

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 Serviços de Dados MCP in Vercel AI SDK

You connect by using the `@ai-sdk/mcp` package. Initialize the client with your endpoint URL and pass the tool definitions directly into your generateText call.

Yes. Since you are using a streaming architecture, the data flows in chunks. You can display partial results to the user as they arrive.

It does. The connection is designed for low-latency environments, so your AI SDK deployment stays fast and responsive.

The server returns a standard error code that your agent catches. You should handle this in your tool execution logic to keep the conversation going.

This server only provides public, government-issued statistics. It does not store or touch your private user data, ensuring that your AI client remains secure.

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