How to Use the IBGE Nomes MCP in OpenAI Agents SDK

Q: Can I compare multiple names using IBGE Nomes with the OpenAI Agents SDK?

Yes. The getnamefrequency tool accepts pipe-separated strings, allowing you to fetch frequency data for several names in one call.

Get direct access to Brazilian demographic data with the IBGE Nomes MCP server for your OpenAI Agents SDK production system.

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Connect IBGE Nomes MCP to OpenAI Agents SDK

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

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Track name trends with OpenAI Agents SDK

Your agent queries birth frequency data across specific decades using `get_name_frequency`. You pull historical counts directly from official government records without leaving your agent loop. This gives your agent the raw numbers it needs to build demographic reports. It handles single or multiple names via pipe-delimited strings to compare growth patterns instantly.

Rank names by popularity

Use `get_names_ranking` to identify the most common names within specific regions or timeframes. Your agent filters these results to provide accurate societal context based on real birth registration records. This MCP Server provides the dataset required to ground your agent's assertions in reality. It avoids the guesswork by fetching verified rankings straight from the source.

Validate agent data inputs

The OpenAI Agents SDK handles these tool calls with built-in tracing. You monitor every request your agent makes to the IBGE database, ensuring full visibility into how your application processes demographic queries. This setup keeps your agent's logic clean and focused. It manages the connection to the MCP server so you can focus on building the agent's core decision-making logic.

Setup guide

Set up IBGE Nomes 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 tools at runtime.
3

Create your Agent

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

Connect the server by passing the endpoint to the MCPServerStreamableHttp class. Your agent then auto-discovers both tools for immediate use.

Yes. The `get_name_frequency` tool accepts pipe-separated strings, allowing you to fetch frequency data for several names in one call.

The server pulls data directly from official Brazilian government registries. You get the same statistics researchers rely on for demographic analysis.

No. You only need the endpoint URL to initialize the connection in your agent code.

It accesses public birth registration statistics. The server only handles aggregate counts and rankings, never private individual records.

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