How to Use the IBGE Localidades — Cidades do Brasil MCP in Pydantic AI
Run type-safe Brazilian geographic lookups in your Pydantic AI workflows with zero state management.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IBGE Localidades — Cidades do Brasil MCP to Pydantic AI
Create your Vinkius account to connect IBGE Localidades — Cidades 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.
Type-Safe State Resolution via MCP Server
Parsing raw API responses often breaks your runtime type guarantees. This MCP Server integrates with Pydantic AI so tools like `list_estados` and `list_regioes` return structured, validated data structures. If the underlying government API changes, your system catches it immediately. You avoid silent data corruption because every state and region is validated before your agent processes it.
Strict Validation for Brazilian Municipalities
Validating 5,570 cities requires strict schema enforcement. Your agent can call `get_municipios_por_uf` to fetch all municipalities in a state, knowing that Pydantic AI will validate the output schema. For single-city lookups, the `get_municipio` tool ensures that the returned 7-digit code and name fit your models perfectly. This makes it safe to use in transactional banking or shipping pipelines.
Map Metropolitan Hubs without Hallucinations
AI agents frequently hallucinate which cities belong to which metropolitan areas. The `list_regioes_metropolitanas` tool solves this by pulling official government clusters directly into your runtime. This gives your agent a reliable source of truth for geographical grouping. You get clean, validated lists without writing manual validation schemas.
Set up IBGE Localidades — Cidades 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"ibge-localidades-cidades-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 Localidades — Cidades do Brasil tools.",
)
result = await agent.run("List recent IBGE Localidades — Cidades do Brasil transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IBGE. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about IBGE Localidades — Cidades do Brasil MCP in Pydantic AI
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