IBGE Nomes MCP Server for Pydantic AIGive Pydantic AI instant access to 2 tools to Get Name Frequency and Get Names Ranking

Name: IBGE Nomes
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The IBGE Nomes MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 2 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 "
            "(2 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every IBGE Nomes tool response against typed schemas, catching data inconsistencies at build time. Connect 2 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 — 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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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

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

Get names ranking on IBGE Nomes

Obtains a ranking of the most frequent names according to specified filters

Connect IBGE Nomes to Pydantic AI via MCP

Follow these steps to wire IBGE Nomes into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 2 tools from IBGE Nomes with type-safe schemas

Why Use Pydantic AI with the IBGE Nomes MCP Server

Pydantic AI provides unique advantages when paired with IBGE Nomes 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 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 connection logic from agent behavior for testable, maintainable code

IBGE Nomes + Pydantic AI Use Cases

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

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

API orchestration: chain multiple IBGE Nomes 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 and output structured, schema-compliant notifications

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

Example Prompts for IBGE Nomes in Pydantic AI

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

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

IBGE Nomes + Pydantic AI FAQ

Common questions about integrating IBGE Nomes 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 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.