How to Use the IBGE Pesquisas — Brasil Cidades MCP in Pydantic AI

Strict type-safe municipal data analysis with Pydantic AI and IBGE Pesquisas — Brasil Cidades.

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Connect IBGE Pesquisas — Brasil Cidades MCP to Pydantic AI

Create your Vinkius account to connect IBGE Pesquisas — Brasil Cidades 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 Pesquisas — Brasil Cidades with Pydantic AI

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Perplexity

Validate municipal data in Pydantic AI

Stop worrying about malformed API responses. `get_indicadores` returns data that is validated against your Pydantic models, so your agent only works with clean, typed information. If the data doesn't match your schema, the agent catches it immediately. You avoid the runtime errors that plague less strict implementations.

Rank cities with type-safe precision

Use `get_ranking_indicador` to sort municipalities with confidence. Pydantic AI ensures the resulting list is structured exactly how your business logic expects. This prevents silent failures where an agent might misinterpret an indicator value. You get reliability at the data-ingestion layer.

Execute research queries via Pydantic AI

Use `get_resultados` and `list_pesquisas` to drive your research. The integration enforces your data contracts, ensuring your agent logic remains predictable. You gain total visibility into the data flow. Every request is validated, logged, and structured to meet your exact requirements.

Setup guide

Set up IBGE Pesquisas — Brasil Cidades 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-pesquisas-brasil-cidades-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about IBGE Pesquisas — Brasil Cidades MCP in Pydantic AI

It uses Pydantic models to validate every response from the MCP server. If the data structure deviates, the agent halts before processing it.

The MCP toolset is fully async. It fits perfectly into your high-performance Python agents.

Yes. You can define custom error handlers in your Pydantic models to manage API timeouts or missing municipality codes.

You just update your Pydantic model definition. The agent then automatically adopts the new validation rules.

All communication is encrypted and ephemeral. We provide a clean, isolated environment for your agent to interact with municipal census records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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