How to Use the IBGE Pesquisas — Brasil Cidades MCP in OpenAI Agents SDK

Build production-grade policy agents with IBGE Pesquisas — Brasil Cidades and the OpenAI Agents SDK.

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Connect IBGE Pesquisas — Brasil Cidades MCP to OpenAI Agents SDK

Create your Vinkius account to connect IBGE Pesquisas — Brasil Cidades 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 Pesquisas — Brasil Cidades with OpenAI Agents SDK

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Perplexity

Automate regional data analysis in OpenAI Agents SDK

Stop guessing municipal performance. This MCP Server lets your agent pull raw data directly from `get_indicadores`, identifying infrastructure gaps before they become local crises. Your agent handles the heavy lifting of parsing complex census datasets. You get clean, actionable intelligence without manual data entry or scraping.

Benchmark cities with precision

Use `get_ranking_indicador` to see how specific municipalities stack up against their neighbors. Your agents can now build comparative reports that highlight actual socioeconomic disparities. Forget static spreadsheets. Your agent dynamically queries the latest rankings, ensuring your policy recommendations reflect current reality rather than outdated projections.

Deploy robust policy research pipelines

Connect `get_resultados` and `list_pesquisas` to your agent workflows to track long-term social indicators. You maintain full control over the research scope while the agent executes the queries. Everything happens within your secure OpenAI environment. You define the logic, and the agent fetches the specific municipal data required to justify your conclusions.

Setup guide

Set up IBGE Pesquisas — Brasil Cidades 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 Pesquisas — Brasil Cidades tools at runtime.
3

Create your Agent

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

It connects through the MCP protocol. Your agent treats the IBGE tools as native functions, allowing for direct, code-based data retrieval.

Yes. The SDK manages the transport layer efficiently. You can batch your requests for multiple municipalities without hitting bottlenecks.

Absolutely. By chaining tools, you can script your agent to compile monthly reports on health or education metrics automatically.

You are getting direct access to official Brazilian census and survey data. It is the gold standard for municipal metrics.

The server uses ephemeral connections for every request. We don't store your query history or the specific municipal demographics you access.

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