IBGE Nomes — Nomes do Brasil MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect IBGE Nomes — Nomes do Brasil through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="IBGE Nomes — Nomes do Brasil Assistant",
instructions=(
"You help users interact with IBGE Nomes — Nomes do Brasil. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from IBGE Nomes — Nomes do Brasil"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About IBGE Nomes — Nomes do Brasil MCP Server
Tap into Brazil's most viral dataset — the IBGE Names API that broke the internet when launched, as 200 million Brazilians rushed to look up their own names.
The OpenAI Agents SDK auto-discovers all 3 tools from IBGE Nomes — Nomes do Brasil through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries IBGE Nomes — Nomes do Brasil, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Name Frequency — How many "Marias" were born in each decade since 1930? Track any name's rise and fall across almost 100 years
- National Ranking — Top 20 most popular names by decade + filter by sex (M/F)
- Regional Trends — Compare name popularity across Brazilian states (is "José" more popular in Bahia or São Paulo?)
The IBGE Nomes — Nomes do Brasil MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect IBGE Nomes — Nomes do Brasil to OpenAI Agents SDK via MCP
Follow these steps to integrate the IBGE Nomes — Nomes do Brasil MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 3 tools from IBGE Nomes — Nomes do Brasil
Why Use OpenAI Agents SDK with the IBGE Nomes — Nomes do Brasil MCP Server
OpenAI Agents SDK provides unique advantages when paired with IBGE Nomes — Nomes do Brasil through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
IBGE Nomes — Nomes do Brasil + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the IBGE Nomes — Nomes do Brasil MCP Server delivers measurable value.
Automated workflows: build agents that query IBGE Nomes — Nomes do Brasil, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries IBGE Nomes — Nomes do Brasil, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through IBGE Nomes — Nomes do Brasil tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query IBGE Nomes — Nomes do Brasil to resolve tickets, look up records, and update statuses without human intervention
IBGE Nomes — Nomes do Brasil MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect IBGE Nomes — Nomes do Brasil to OpenAI Agents SDK via MCP:
get_nome_frequencia
Supports multiple names separated by |. Example: "Maria", "João|Pedro". Get birth frequency by decade for a Brazilian name
get_nome_por_localidade
Use the IBGE UF code (e.g., 33 for RJ, 35 for SP). Get name frequency filtered by Brazilian state
get_ranking_nomes
Can be filtered by decade and/or sex (M or F). Get ranking of most popular names in Brazil
Example Prompts for IBGE Nomes — Nomes do Brasil in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with IBGE Nomes — Nomes do Brasil immediately.
"How popular was the name 'Maria' across decades in Brazil?"
"What are the top 10 baby names in Brazil in the 2000s?"
"Is 'João' more popular in Bahia or in Rio Grande do Sul?"
Troubleshooting IBGE Nomes — Nomes do Brasil MCP Server with OpenAI Agents SDK
Common issues when connecting IBGE Nomes — Nomes do Brasil to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
IBGE Nomes — Nomes do Brasil + OpenAI Agents SDK FAQ
Common questions about integrating IBGE Nomes — Nomes do Brasil MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect IBGE Nomes — Nomes do Brasil with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect IBGE Nomes — Nomes do Brasil to OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
