How to Use the Inep Dados Abertos MCP in Mastra AI

Build reliable educational data pipelines with Mastra AI and the Inep Dados Abertos MCP Server.

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Connect Inep Dados Abertos MCP to Mastra AI

Create your Vinkius account to connect Inep Dados Abertos to Mastra AI 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 Mastra AI

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Claude

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Automated dataset retrieval

Use `search_packages` within your Mastra agents to automate the discovery of educational records. Your workflows can now trigger data gathering whenever a specific task starts. If the initial search fails, your Mastra agent handles the retry logic automatically. This keeps your data pipeline moving without manual intervention.

SQL-based data extraction

Execute precise data pulls using `search_datastore_sql` to feed your multi-step workflows. This is ideal for pulling specific Censo Escolar rows for later analysis. Your agent can branch its logic based on the results returned by this tool. It creates a robust way to handle varying data structures across different years.

Metadata-driven workflow branching

Query organizational structures with `list_organizations` to determine which data source your agent should target. You can set up conditional paths based on the metadata discovered. This ensures your Mastra agent always selects the right dataset. It removes the guesswork from handling diverse government records.

Setup guide

Set up Inep Dados Abertos MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Inep Dados Abertos tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "inep-dados-abertos-mcp-client",
  servers: {
    "inep-dados-abertos-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Inep Dados Abertos Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Inep Dados Abertos tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Inep Dados Abertos transactions"
);
console.log(result.text);

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Common questions about Inep Dados Abertos MCP in Mastra AI

Import the MCP client into your agent configuration and spread the tools into the agent's toolset. The agent will then detect the available functions automatically.

Yes, Mastra supports exponential backoff for tool calls. If an API request to the government server drops, your agent will handle the reconnection process.

Agents can access public records, including ENEM results and school census data. You can query these by name, organization, or direct SQL statements.

The server uses standard transport protocols. You only need to provide the endpoint URL, and the server manages the connection to the public API.

The server operates solely on public-domain government files. It does not access private or identifiable information, keeping your workflows compliant by design.

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