How to Use the IBGE Nomes — Nomes do Brasil MCP in Vercel AI SDK

Stream Brazilian naming trends directly into your Vercel AI SDK frontends with the IBGE Nomes — Nomes do Brasil MCP Server.

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Connect IBGE Nomes — Nomes do Brasil MCP to Vercel AI SDK

Create your Vinkius account to connect IBGE Nomes — Nomes do Brasil 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 Nomes — Nomes do Brasil with Vercel AI SDK

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Real-time name frequency visualization

Feed your UI live historical census data by calling `get_nome_frequencia`. You get decade-by-decade breakdowns of how names rose and fell in popularity since the 1930s. Since your Vercel AI SDK app handles streaming, your users watch the graph populate as the AI processes the data. It beats waiting for a static response.

Localized demographic filtering in AI SDK

Target your content by state using `get_nome_por_localidade`. Pass the IBGE UF code to narrow down where a name holds the most cultural weight. Your front end displays these results instantly. It turns a simple query into a map of regional identity that your users can explore without page refreshes.

National popularity rankings for your app

Use `get_ranking_nomes` to pull the most popular names across Brazil by decade or gender. It puts raw, verified census data right into your app's state. This tool helps you build interfaces that show trends rather than just static lists. It gives your AI client the numbers it needs to answer questions about national naming shifts.

Setup guide

Set up IBGE Nomes — Nomes do Brasil 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 Nomes — Nomes do Brasil 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 Nomes — Nomes do Brasil 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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Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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

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Single dashboard

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Common questions about IBGE Nomes — Nomes do Brasil MCP in Vercel AI SDK

You integrate the server using the MCP transport within your AI SDK project. Once connected, your agent calls the tools and streams the results directly into your message history.

Yes. You pass the decade parameter to the tool call in your agent's function definition. The results return as structured JSON that your frontend handles.

Absolutely. You fetch data for specific states using the UF code tool and map the results to your visualization library. It is efficient and keeps your data fresh.

Wrap your tool execution in a standard try-catch block. Since you are using the Vercel AI SDK, you can return a clear error message to the chat UI if the API is unreachable.

The server accesses public census records. No sensitive user information is ever touched, so your data privacy remains intact.

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