How to Use the IBGE Full Access — Dados Brasileiros MCP in OpenAI Agents SDK

Q: How do I install IBGE Full Access — Dados Brasileiros in my OpenAI Agents SDK project?

Install the package using pip install openai-agents first. Then, initialize the MCP Server using MCPServerStreamableHttp with the Vinkius URL and pass it directly to your Agent constructor in the mcpservers list.

Q: Can I cache the tool list when using IBGE Full Access — Dados Brasileiros with OpenAI Agents SDK?

Yes, you should set cacheToolsList=True in your configuration. This prevents the SDK from querying the Vinkius endpoint on every single turn, speeding up tools like listpesquisas and listregioes.

Q: How do I compare global indicators against Brazilian data using this MCP setup?

Your agent can call getpaisindicadores with an M49 country code to fetch global metrics. It can then compare those numbers with local Brazilian data pulled from listsecoescnae in a single run.

Get official Brazilian census and economic data directly into your OpenAI Agents SDK workflows with zero-auth setup.

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Connect IBGE Full Access — Dados Brasileiros MCP to OpenAI Agents SDK

Create your Vinkius account to connect IBGE Full Access — Dados Brasileiros 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 Full Access — Dados Brasileiros with OpenAI Agents SDK

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Map Brazilian territories inside OpenAI Agents SDK

Your agent needs to understand Brazilian geography to route requests correctly. This MCP Server lets your OpenAI agent call `list_estados` and `get_municipios_por_uf` to build a clean map of regions without hardcoding geographical hierarchies. When a user asks about a specific city, the agent uses `get_municipio` to pull the exact IBGE code. This feeds directly into your agent's context, making downstream regional tasks predictable and accurate.

Run secure macroeconomic analysis with OpenAI handoffs

You can set up specialized agents that hand off tasks to each other when analyzing Brazilian market trends. One agent pulls raw census data via `get_agregado_data` while another validates the business classifications using `get_subclasse_cnae`. OpenAI's tracing dashboard shows exactly how these tools execute. The built-in guardrails block invalid inputs before they hit the IBGE endpoints, ensuring your system stays clean and responsive.

Trace live demographic queries in your OpenAI dashboard

Using this MCP Server to query name trends with `get_ranking_nomes` and `get_nome_frequencia` is incredibly straightforward. You see the exact payload and response times right inside your OpenAI tracing setup, making debugging simple. Using the streamable HTTP setup, the agent discovers these tools instantly. The agent fetches the latest Brazilian news through `get_noticias_ibge` and maps it to regional trends on the fly.

Setup guide

Set up IBGE Full Access — Dados Brasileiros 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 Full Access — Dados Brasileiros tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives IBGE Full Access — Dados Brasileiros 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 Full Access — Dados Brasileiros 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 Full Access — Dados Brasileiros Agent",
            instructions="You have access to IBGE Full Access — Dados Brasileiros 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 Full Access — Dados Brasileiros MCP in OpenAI Agents SDK

Install the package using `pip install openai-agents` first. Then, initialize the MCP Server using `MCPServerStreamableHttp` with the Vinkius URL and pass it directly to your Agent constructor in the `mcp_servers` list.

Yes, you should set `cacheToolsList=True` in your configuration. This prevents the SDK from querying the Vinkius endpoint on every single turn, speeding up tools like `list_pesquisas` and `list_regioes`.

The SDK auto-discovers all 15 MCP tools, allowing your agent to parse complex JSON from `get_resultados_pesquisa` natively. You can use specialized agent handoffs to split the data processing work.

Your agent can call `get_pais_indicadores` with an M49 country code to fetch global metrics. It can then compare those numbers with local Brazilian data pulled from `list_secoes_cnae` in a single run.

Absolutely. Vinkius runs the server in an isolated, zero-trust sandbox. The only data transmitted to the IBGE endpoints are public parameters like municipality codes or state IDs, keeping your internal agent prompts completely private.

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