How to Use the IBGE Nomes — Nomes do Brasil MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK handle piped name queries using IBGE Nomes — Nomes do Brasil?

Yes, the getnomefrequencia tool accepts piped strings like "MariaJoão" directly from your OpenAI agent. The OpenAI Agents SDK handles the raw response format for multi-name comparisons without extra parsing logic.

Q: How does the OpenAI Agents SDK guardrail system protect IBGE Nomes — Nomes do Brasil queries?

The SDK intercepts calls to getrankingnomes or local tools to verify parameters before they hit the server. This prevents your OpenAI agents from sending invalid Brazilian state codes or malformed name queries.

Feed historical Brazilian name frequencies directly to your OpenAI Agents SDK pipelines for instant demographic validation.

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Connect IBGE Nomes — Nomes do Brasil MCP to OpenAI Agents SDK

Create your Vinkius account to connect IBGE Nomes — Nomes do Brasil 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 Nomes — Nomes do Brasil with OpenAI Agents SDK

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Map Regional Naming Trends with OpenAI Agents

`get_nome_por_localidade` fetches name frequencies by Brazilian state codes directly into your OpenAI Agents SDK workflow. Your OpenAI agent parses these raw Brazilian census distributions to segment users without manual translation. This MCP tool feeds raw state-level statistics directly to your specialized OpenAI agents. You can coordinate OpenAI agent handoffs between a regional Brazilian analysis agent and a marketing generator using real state-level demographic data.

Compare Name Popularity Across Decades

`get_nome_frequencia` pulls birth counts by decade for single or piped Brazilian names directly into your OpenAI agent's context. The tool handles multiple queries in a single request to let your OpenAI Agents SDK evaluate age-cohort trends. The OpenAI tracing dashboard logs every call to this MCP Server. You can watch your OpenAI agents query name trends over seventy years and catch anomalies before they reach production.

Build Safe Demographics with OpenAI Agents SDK

`get_ranking_nomes` generates national popularity rankings filtered by sex or decade to ground your OpenAI agent's generative outputs. Using this MCP Server ensures your OpenAI agents generate realistic persona names based on actual Brazilian census records rather than hallucinated stereotypes. Guardrails in the OpenAI Agents SDK validate these Brazilian ranking outputs before execution. Your deployed OpenAI system relies on verified IBGE database records, maintaining strict compliance across your user-facing interfaces.

Setup guide

Set up IBGE Nomes — Nomes do Brasil 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 Nomes — Nomes do Brasil tools at runtime.
3

Create your Agent

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

Use MCPServerStreamableHttp pointing to the Vinkius endpoint inside your async context manager to access the Brazilian census tools. Pass the server instance to your OpenAI Agent constructor to auto-discover the name frequency endpoints.

Yes, the get_nome_frequencia tool accepts piped strings like "Maria|João" directly from your OpenAI agent. The OpenAI Agents SDK handles the raw response format for multi-name comparisons without extra parsing logic.

The SDK intercepts calls to get_ranking_nomes or local tools to verify parameters before they hit the server. This prevents your OpenAI agents from sending invalid Brazilian state codes or malformed name queries.

Set cacheToolsList=True in your OpenAI Agents SDK configuration to cache the tool definitions. This reduces initialization overhead when your OpenAI agents frequently access the Brazilian name database.

This MCP Server only handles public, aggregated historical census statistics from the IBGE database. No personally identifiable information or individual user records are ever processed or stored during name searches.

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