How many aggregate tables are available?

SIDRA contains **over 10,000 aggregate tables** spanning all IBGE surveys since the 1940s. Each table can be filtered by geographic level (Brazil, region, state, municipality), time period, and dozens of classification variables.

IBGE Censo & SIDRA — Dados Censitários MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

Name: IBGE Censo & SIDRA — Dados Censitários
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

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

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Vinkius supports streamable HTTP and SSE.

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 IBGE Censo & SIDRA — Dados Censitários "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in IBGE Censo & SIDRA — Dados Censitários?"
    )
    print(result.data)

asyncio.run(main())

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About IBGE Censo & SIDRA — Dados Censitários MCP Server

Connect your AI agent to SIDRA — Brazil's most powerful statistical data system, maintained by IBGE since 1940.

Pydantic AI validates every IBGE Censo & SIDRA — Dados Censitários tool response against typed schemas, catching data inconsistencies at build time. Connect 4 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

GDP & Economy — National, state, and municipal GDP data with time series
Population Census — Demographic data from the latest census with age, sex, race, education breakdowns
Employment — PNAD labor force survey data by region and sector
Inflation (IPCA) — Monthly consumer price index with product-level decomposition
Agriculture — Crop production, livestock, and agricultural census data

The IBGE Censo & SIDRA — Dados Censitários MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect IBGE Censo & SIDRA — Dados Censitários to Pydantic AI via MCP

Follow these steps to integrate the IBGE Censo & SIDRA — Dados Censitários MCP Server with Pydantic AI.

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 4 tools from IBGE Censo & SIDRA — Dados Censitários with type-safe schemas

Why Use Pydantic AI with the IBGE Censo & SIDRA — Dados Censitários MCP Server

Pydantic AI provides unique advantages when paired with IBGE Censo & SIDRA — Dados Censitários 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 IBGE Censo & SIDRA — Dados Censitários integration code

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

Dependency injection system cleanly separates your IBGE Censo & SIDRA — Dados Censitários connection logic from agent behavior for testable, maintainable code

IBGE Censo & SIDRA — Dados Censitários + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the IBGE Censo & SIDRA — Dados Censitários MCP Server delivers measurable value.

Type-safe data pipelines: query IBGE Censo & SIDRA — Dados Censitários with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple IBGE Censo & SIDRA — Dados Censitários tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query IBGE Censo & SIDRA — Dados Censitários and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock IBGE Censo & SIDRA — Dados Censitários responses and write comprehensive agent tests

IBGE Censo & SIDRA — Dados Censitários MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect IBGE Censo & SIDRA — Dados Censitários to Pydantic AI via MCP:

get_agregado_data

Example: aggregate 4714 (IPCA) variable 63 (monthly variation). Levels: N1=Brasil, N2=Região, N3=UF, N6=Município. Get census/survey data from a SIDRA aggregate table

get_agregado_metadados

Get metadata for a SIDRA aggregate

get_agregado_periodos

Get available periods for a SIDRA aggregate

list_agregados

List all SIDRA aggregate tables grouped by survey

Example Prompts for IBGE Censo & SIDRA — Dados Censitários in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with IBGE Censo & SIDRA — Dados Censitários immediately.

"What is the latest IPCA inflation rate in Brazil?"

"What is the GDP of the state of São Paulo?"

"What is the population of Brazil by macro-region?"

Troubleshooting IBGE Censo & SIDRA — Dados Censitários MCP Server with Pydantic AI

Common issues when connecting IBGE Censo & SIDRA — Dados Censitários to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

IBGE Censo & SIDRA — Dados Censitários + Pydantic AI FAQ

Common questions about integrating IBGE Censo & SIDRA — Dados Censitários 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 IBGE Censo & SIDRA — Dados Censitários MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.