Inep Dados Abertos MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Get Group, Get Organization, Get Package, and more

Name: Inep Dados Abertos
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Inep Dados Abertos through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Inep Dados Abertos MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Inep Dados Abertos "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Inep Dados Abertos?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Inep Dados Abertos MCP Server

Connect to the Inep Open Data Portal (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira) and explore the most comprehensive educational datasets in Brazil through natural language.

Pydantic AI validates every Inep Dados Abertos tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Dataset Discovery — List and search through hundreds of educational packages including ENEM, IDEB, and Censo Escolar.
Deep Data Querying — Use SQL-like queries to filter and extract specific rows from massive datasets without downloading huge files.
Resource Inspection — Access metadata, download links, and structural information for CSVs, PDFs, and microdata.
Organizational Mapping — Explore data grouped by specific departments and thematic groups within the Brazilian Ministry of Education.
Granular Search — Find specific resources or tags to pinpoint the exact statistical series needed for research or reporting.

The Inep Dados Abertos MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Inep Dados Abertos tools available for Pydantic AI

When Pydantic AI connects to Inep Dados Abertos through Vinkius, your AI agent gets direct access to every tool listed below — spanning education-data, brazil, academic-research, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get group on Inep Dados Abertos

Get group details

get

Get organization on Inep Dados Abertos

Get organization details

get

Get package on Inep Dados Abertos

Get dataset details

get

Get resource on Inep Dados Abertos

Get resource details

list

List groups on Inep Dados Abertos

List groups

list

List organizations on Inep Dados Abertos

g., different departments within Inep). List organizations

list

List packages on Inep Dados Abertos

List all dataset (package) names

list

List tags on Inep Dados Abertos

List tags

Search datastore on Inep Dados Abertos

Search data within a resource (DataStore)

Search datastore sql on Inep Dados Abertos

Query data using SQL (DataStore)

Search packages on Inep Dados Abertos

Search datasets

Search resources on Inep Dados Abertos

Search resources

Connect Inep Dados Abertos to Pydantic AI via MCP

Follow these steps to wire Inep Dados Abertos into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Inep Dados Abertos with type-safe schemas

Why Use Pydantic AI with the Inep Dados Abertos MCP Server

Pydantic AI provides unique advantages when paired with Inep Dados Abertos through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Inep Dados Abertos integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Inep Dados Abertos connection logic from agent behavior for testable, maintainable code

Inep Dados Abertos + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Inep Dados Abertos MCP Server delivers measurable value.

Type-safe data pipelines: query Inep Dados Abertos with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Inep Dados Abertos tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Inep Dados Abertos and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Inep Dados Abertos responses and write comprehensive agent tests

Example Prompts for Inep Dados Abertos in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Inep Dados Abertos immediately.

"Search for all available datasets related to 'Censo Escolar'."

"List the resources and download URLs for the 'ENEM 2022' package."

"Run a SQL query to get the first 10 records from resource 'd9e8f7a6-...' where the state is 'SP'."

Troubleshooting Inep Dados Abertos MCP Server with Pydantic AI

Common issues when connecting Inep Dados Abertos to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Inep Dados Abertos + Pydantic AI FAQ

Common questions about integrating Inep Dados Abertos MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Inep Dados Abertos MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.