How to Use the IBGE Nomes — Nomes do Brasil MCP in Pydantic AI

Type-safe Brazilian census name lookups validated at runtime using Pydantic AI.

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Connect IBGE Nomes — Nomes do Brasil MCP to Pydantic AI

Create your Vinkius account to connect IBGE Nomes — Nomes do Brasil to Pydantic AI 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 — Nomes do Brasil with Pydantic AI

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Type-Safe State Queries in Pydantic AI

`get_nome_por_localidade` queries regional name distributions and validates the output against strict Pydantic schemas. This tool ensures that your Pydantic AI agent receives structured state-level census statistics without silent data corruption. If the IBGE API returns unexpected formatting, your agent halts execution immediately. This strict validation prevents malformed state codes from breaking your downstream data pipelines.

Validate Decadal Name Frequencies

`get_nome_frequencia` pulls historical birth counts for single or piped names directly into your type-safe agent. The Pydantic AI framework validates the decadal frequency array at runtime to guarantee data integrity. This MCP Server integration works across any LLM provider you plug into your agent. You get identical validation guarantees whether you run the census queries on local models or commercial APIs.

Secure National Rankings with Pydantic AI MCP Server

`get_ranking_nomes` outputs national popularity rankings filtered by sex or decade. The tool passes clean, validated arrays to your Pydantic AI models to ensure accurate persona generation. Using this MCP setup eliminates the risk of your agent hallucinating fake Brazilian names. Every name and frequency count is verified against real historical census records before entering your application logic.

Setup guide

Set up IBGE Nomes — Nomes do Brasil MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "ibge-nomes-nomes-do-brasil-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to IBGE Nomes — Nomes do Brasil tools.",
)

result = await agent.run("List recent IBGE Nomes — Nomes do Brasil transactions")
print(result.output)

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Common questions about IBGE Nomes — Nomes do Brasil MCP in Pydantic AI

Import MCPToolset pointing to the Vinkius HTTP endpoint and pass it to your Agent constructor. The framework handles connection pooling and type validation automatically.

The framework throws a validation error immediately rather than passing dirty data to your model. This guarantees that only valid IBGE state records are processed by your agent.

Yes, the framework is model-agnostic. You can run census queries using get_nome_frequencia on local models while maintaining strict runtime validation of the name data.

The integration supports both Streamable HTTP and SSE transports. You must run the server externally and connect your agent using the unified MCPToolset class.

The tool only queries public census records representing aggregated name popularity across Brazil. No personal user data is collected, and all queries run in an isolated V8 sandbox to prevent leaks.

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