IBGE Nomes MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 2 tools to Get Name Frequency and Get Names Ranking
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect IBGE Nomes 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 for OpenAI Agents SDK
The IBGE Nomes MCP Server for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 2 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Assistant",
instructions=(
"You help users interact with IBGE Nomes. "
"You have access to 2 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from IBGE Nomes"
)
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 MCP Server
Connect to the IBGE (Brazilian Institute of Geography and Statistics) database through any AI agent to explore the rich demographic history of Brazilian names. This server provides direct access to the 'Nomes no Brasil' census data.
The OpenAI Agents SDK auto-discovers all 2 tools from IBGE Nomes through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries IBGE Nomes, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Name Frequency — Query the number of births per decade for specific names (e.g., 'MARIA' or 'ENZO') to see how trends evolved over time.
- Rankings & Popularity — Generate rankings of the most frequent names in Brazil, with optional filters for gender and specific decades.
- Geographic Insights — Filter results by locality ID to understand regional naming preferences across different Brazilian states and municipalities.
- Comparative Analysis — Use the pipe separator to compare multiple names simultaneously and identify cultural shifts.
The IBGE Nomes MCP Server exposes 2 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 2 IBGE Nomes tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to IBGE Nomes through Vinkius, your AI agent gets direct access to every tool listed below — spanning demographics, brazil, census, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get name frequency on IBGE Nomes
Multiple names can be separated by a pipe (|). Obtains the frequency of births per decade for a specific name
Get names ranking on IBGE Nomes
Obtains a ranking of the most frequent names according to specified filters
Connect IBGE Nomes to OpenAI Agents SDK via MCP
Follow these steps to wire IBGE Nomes into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the IBGE Nomes MCP Server
OpenAI Agents SDK provides unique advantages when paired with IBGE Nomes 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 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the IBGE Nomes MCP Server delivers measurable value.
Automated workflows: build agents that query IBGE Nomes, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries IBGE Nomes, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through IBGE Nomes tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query IBGE Nomes to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for IBGE Nomes in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with IBGE Nomes immediately.
"What is the birth frequency of the name 'Neymar' in Brazil per decade?"
"Show me the top 10 most popular female names in Brazil during the 1980s."
"Compare the popularity of 'Enzo' and 'Valentina' using IBGE data."
Troubleshooting IBGE Nomes MCP Server with OpenAI Agents SDK
Common issues when connecting IBGE Nomes to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
IBGE Nomes + OpenAI Agents SDK FAQ
Common questions about integrating IBGE Nomes 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?
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