How to Use the IBGE Censo & SIDRA — Dados Censitários MCP in OpenAI Agents SDK

Integrate IBGE Censo & SIDRA — Dados Censitários into your OpenAI Agents SDK pipeline for verified Brazilian economic intelligence.

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Connect IBGE Censo & SIDRA — Dados Censitários MCP to OpenAI Agents SDK

Create your Vinkius account to connect IBGE Censo & SIDRA — Dados Censitários to OpenAI Agents 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 Censo & SIDRA — Dados Censitários with OpenAI Agents SDK

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Perplexity

Direct access to official Brazilian census data

Your agent queries `list_agregados` to map out available survey data without manual lookups. It turns raw registry tables into actionable context for your production agent system. This MCP Server handles the handshake, letting your agent focus on high-level analysis. You get clean inputs for your models while maintaining strict control over what data your agent touches.

Automated time-series extraction

Use `get_agregado_periodos` to define temporal boundaries for your economic models. The server resolves exact date ranges, ensuring your agent never wastes cycles on missing data points. Your pipeline stays locked to reality by pulling from official sources. It's the standard way to build agents that rely on verified Brazilian statistical history.

Granular data retrieval for agents

Fetch specific metrics using `get_agregado_data` with precise geographical filters. Your agent pulls exactly what it needs, from national IPCA figures down to specific municipal records. This keeps your agent payloads small and relevant. By defining clear metadata requirements with `get_agregado_metadados`, you prevent the agent from hallucinating variables that don't exist.

Setup guide

Set up IBGE Censo & SIDRA — Dados Censitários MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all IBGE Censo & SIDRA — Dados Censitários tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives IBGE Censo & SIDRA — Dados Censitários tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate IBGE Censo & SIDRA — Dados Censitários tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="IBGE Censo & SIDRA — Dados Censitários Agent",
            instructions="You have access to IBGE Censo & SIDRA — Dados Censitários tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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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Common questions about IBGE Censo & SIDRA — Dados Censitários MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp instance and pass it directly to your agent constructor. The SDK handles tool discovery automatically. Ensure you use a persistent endpoint for production stability.

Yes. Set cacheToolsList=True in your agent configuration to keep tool definitions ready. This reduces latency when your agent initiates new analytical tasks.

You control the toolset within your agent's definition. Simply filter the list of tools passed to the constructor if you only need specific data retrieval functions.

The server follows standard HTTP practices. If the SIDRA API returns a 429, the client-side logic should implement a retry-after strategy to maintain service flow.

The server operates on an ephemeral basis with authenticated endpoints. No user data is stored, and the connection only bridges your agent to public statistical records.

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