Where does this name data come from?

All name data comes from **official IBGE Census records** spanning over 90 years. The frequency counts represent actual birth registrations aggregated by decade since the 1930s.

IBGE Nomes — Nomes do Brasil MCP Server for Pydantic AI 3 tools — connect in under 2 minutes

Name: IBGE Nomes — Nomes do Brasil
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 3 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect IBGE Nomes — Nomes do Brasil through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to IBGE Nomes — Nomes do Brasil "
            "(3 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in IBGE Nomes — Nomes do Brasil?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every IBGE Nomes — Nomes do Brasil tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the IBGE Nomes — Nomes do Brasil MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from IBGE Nomes — Nomes do Brasil with type-safe schemas

Why Use Pydantic AI with the IBGE Nomes — Nomes do Brasil MCP Server

Pydantic AI provides unique advantages when paired with IBGE Nomes — Nomes do Brasil through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your IBGE Nomes — Nomes do Brasil integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your IBGE Nomes — Nomes do Brasil connection logic from agent behavior for testable, maintainable code

IBGE Nomes — Nomes do Brasil + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the IBGE Nomes — Nomes do Brasil MCP Server delivers measurable value.

Type-safe data pipelines: query IBGE Nomes — Nomes do Brasil with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple IBGE Nomes — Nomes do Brasil tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query IBGE Nomes — Nomes do Brasil and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock IBGE Nomes — Nomes do Brasil responses and write comprehensive agent tests

IBGE Nomes — Nomes do Brasil MCP Tools for Pydantic AI (3)

These 3 tools become available when you connect IBGE Nomes — Nomes do Brasil to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting IBGE Nomes — Nomes do Brasil to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

IBGE Nomes — Nomes do Brasil + Pydantic AI FAQ

Common questions about integrating IBGE Nomes — Nomes do Brasil MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your IBGE Nomes — Nomes do Brasil MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.