How to Use the IBGE Serviços de Dados MCP in OpenAI Agents SDK

Pull Brazilian census data straight into your production agents using the OpenAI Agents SDK for reliable, structured insights.

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Connect IBGE Serviços de Dados MCP to OpenAI Agents SDK

Create your Vinkius account to connect IBGE Serviços de Dados 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 Serviços de Dados with OpenAI Agents SDK

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Automated demographic analysis in OpenAI Agents SDK

Stop manual lookups for Brazilian economic data. Your agent pulls raw aggregates using `get_agregados` and interprets them against your business logic before taking action. Because the OpenAI Agents SDK validates tool inputs, your agent won't pass malformed queries to the IBGE servers. It stays within the safety boundaries you defined for your production environment.

Real-time news monitoring for your agent

Feed your agent the latest releases directly from the source. It uses `get_noticias` to ingest official updates as they drop, ensuring your decision-making loop stays current. This keeps your agent informed without needing a human to scrape websites. The data flows directly into your logic chain, ready for immediate processing.

Geographic precision for agent workflows

Map out your expansion strategy using precise municipal grids. Your agent calls `get_malha_estado` to retrieve exact geographic boundaries for any Brazilian state. You can then cross-reference this with your internal location data. It turns abstract reports into actionable territory mapping for your regional operations.

Setup guide

Set up IBGE Serviços de Dados 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 Serviços de Dados tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives IBGE Serviços de Dados 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 Serviços de Dados 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 Serviços de Dados Agent",
            instructions="You have access to IBGE Serviços de Dados tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about IBGE Serviços de Dados MCP in OpenAI Agents SDK

The SDK doesn't manage IBGE server-side throttling for you. You need to implement your own retry logic or request queuing within your agent's tool execution flow.

Yes, you can define Pydantic models inside your agent tools. If the API response deviates from your expected format, the agent catches the mismatch before proceeding.

Data stays in your execution environment. The MCP server acts as a pass-through, so no information is cached on Vinkius servers.

Most public endpoints don't require authentication, but check the Vinkius dashboard for your specific MCP server endpoint token.

You should sanitize all inputs before they reach the tool. The server only handles public statistical records, but you remain responsible for the privacy of your internal agent context.

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