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How to Use the IBGE Nomes MCP in Vercel AI SDK

Stream Brazilian demographic trends directly into your Vercel AI SDK frontends for real-time data visualization.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect IBGE Nomes MCP to Vercel AI SDK

Create your Vinkius account to connect IBGE Nomes 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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Live name frequency tracking

Pipe raw birth statistics into your UI components using `get_name_frequency`. You get decade-by-decade breakdowns without waiting for server-side round trips. Your users watch the data populate as the agent streams the response. It removes the friction of loading screens when fetching official census records.

Dynamic ranking queries

Identify current naming zeitgeists with `get_names_ranking` to power interactive charts. You define the filters and the client handles the stream. This MCP Server provides the raw counts you need for instant state updates. Your interface stays responsive while the agent pulls verified IBGE data.

Edge-ready demographic tools

Deploy your app to the edge while maintaining access to heavy census datasets. The tools function efficiently across your Vercel infrastructure. Everything stays lightweight because you only pull the specific name metrics required for the current view. It keeps your bundle size small and your data fresh.

Setup guide

Set up IBGE Nomes 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all IBGE Nomes tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Nomes transactions",
});

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

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about IBGE Nomes MCP in Vercel AI SDK

You connect via the MCP client transport to expose the tools to your agent. Once linked, you pass the tool definitions into your streamText call to let the model query the API.
Yes, you send a pipe-delimited string to `get_name_frequency`. The server parses these simultaneously, letting your UI render comparative charts for several names at once.
The server sources directly from official public records. You get the same statistics used by researchers, ensuring your app displays reliable government-verified figures.
No, the public IBGE endpoints do not require keys. You simply point your transport URL to the server endpoint and start querying immediately.
The server only touches public, aggregated demographic data provided by the government. It does not access private individual records, ensuring your app remains compliant.

Start using the IBGE Nomes MCP today

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Built & Managed by Vinkius 30s setup 2 tools

We've already built the connector for IBGE Nomes. Just plug in your AI agents and start using Vinkius.

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All 2 tools are live and waiting. You're up and running in seconds.

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