How to Use the Inep Dados Abertos MCP in Vercel AI SDK

Q: How do I query Inep Dados Abertos using the Vercel AI SDK?

Install the MCP client and pass the tools into your generateText function. You simply trigger the specific tool name to fetch the data you need for your stream.

Q: Can the Vercel AI SDK handle large SQL responses from Inep Dados Abertos?

Yes, but you should limit your query scope using searchdatastoresql parameters. This keeps the payload small and ensures your UI remains responsive during the data fetch.

Stream official Brazilian educational data into your React components with the Inep Dados Abertos MCP Server and Vercel AI SDK.

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Connect Inep Dados Abertos MCP to Vercel AI SDK

Create your Vinkius account to connect Inep Dados Abertos 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 Inep Dados Abertos with Vercel AI SDK

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Real-time dataset discovery

Pipe INEP datasets directly into your frontend using `search_packages`. You get immediate access to Censo Escolar and ENEM metadata without leaving your development environment. Your AI client interprets these results instantly. When your users ask for educational statistics, the data flows from the source straight into your application state.

Direct SQL execution for dashboards

Run complex queries against raw educational databases using `search_datastore_sql`. This allows you to pull specific metrics for school performance dashboards on demand. Since this integrates with the Vercel AI SDK, you can stream the resulting rows to your UI. The process avoids heavy backend processing and keeps your edge functions lean.

Granular resource management

Drill down into specific files or documentation using `get_resource` and `get_package`. You can verify the exact structure of datasets before rendering them in your charts. This level of control ensures your app displays accurate data points. It keeps your interface clean and avoids cluttering the screen with unnecessary information.

Setup guide

Set up Inep Dados Abertos 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 Inep Dados Abertos 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 Inep Dados Abertos transactions",
});

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

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Common questions about Inep Dados Abertos MCP in Vercel AI SDK

Install the MCP client and pass the tools into your `generateText` function. You simply trigger the specific tool name to fetch the data you need for your stream.

Yes, but you should limit your query scope using `search_datastore_sql` parameters. This keeps the payload small and ensures your UI remains responsive during the data fetch.

The server provides access to the official government datasets as they exist on the portal. Your app will pull the latest available version whenever the tool is called.

You can process the tool output within your server-side logic before sending it to the client. This allows you to prune the data for better performance.

This server only interacts with public government datasets. It does not touch private user information or internal records, ensuring your application remains secure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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