IBGE Pesquisas — Brasil Cidades MCP Server for Pydantic AI 4 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect IBGE Pesquisas — Brasil Cidades through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Pesquisas — Brasil Cidades "
"(4 tools)."
),
)
result = await agent.run(
"What tools are available in IBGE Pesquisas — Brasil Cidades?"
)
print(result.data)
asyncio.run(main())
* 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 Pesquisas — Brasil Cidades MCP Server
Access the same data engine powering the official Brasil Cidades portal — the IBGE's most comprehensive municipal indicator database.
Pydantic AI validates every IBGE Pesquisas — Brasil Cidades tool response against typed schemas, catching data inconsistencies at build time. Connect 4 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
- List All Surveys — Browse the complete IBGE research catalog (Census, PNAD, POF, Agricultural Census, etc.)
- Municipal Indicators — Health, education, income, sanitation, and infrastructure data per city
- Cross-Survey Results — Query any indicator across any survey and time period
- City Rankings — Rank municipalities by any indicator (best HDI, highest GDP per capita, etc.)
The IBGE Pesquisas — Brasil Cidades MCP Server exposes 4 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 Pesquisas — Brasil Cidades to Pydantic AI via MCP
Follow these steps to integrate the IBGE Pesquisas — Brasil Cidades 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 4 tools from IBGE Pesquisas — Brasil Cidades with type-safe schemas
Why Use Pydantic AI with the IBGE Pesquisas — Brasil Cidades MCP Server
Pydantic AI provides unique advantages when paired with IBGE Pesquisas — Brasil Cidades 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 Pesquisas — Brasil Cidades 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 Pesquisas — Brasil Cidades connection logic from agent behavior for testable, maintainable code
IBGE Pesquisas — Brasil Cidades + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the IBGE Pesquisas — Brasil Cidades MCP Server delivers measurable value.
Type-safe data pipelines: query IBGE Pesquisas — Brasil Cidades with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple IBGE Pesquisas — Brasil Cidades tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query IBGE Pesquisas — Brasil Cidades and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock IBGE Pesquisas — Brasil Cidades responses and write comprehensive agent tests
IBGE Pesquisas — Brasil Cidades MCP Tools for Pydantic AI (4)
These 4 tools become available when you connect IBGE Pesquisas — Brasil Cidades to Pydantic AI via MCP:
get_indicadores
Use survey ID (e.g., 33 for Censo Demográfico, 38 for Produção Agrícola Municipal). Get indicators from a specific IBGE survey
get_ranking_indicador
Rank municipalities by a specific indicator
get_resultados
Localities can be: BR (Brazil), UF code (e.g., 33 for RJ), or municipality IBGE code. Get survey results for specific municipalities
list_pesquisas
List all IBGE surveys and research programs
Example Prompts for IBGE Pesquisas — Brasil Cidades in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with IBGE Pesquisas — Brasil Cidades immediately.
"What are the education indicators for the city of Curitiba?"
"Which Brazilian cities have the highest GDP per capita?"
"Compare health indicators between São Paulo and Salvador"
Troubleshooting IBGE Pesquisas — Brasil Cidades MCP Server with Pydantic AI
Common issues when connecting IBGE Pesquisas — Brasil Cidades to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiIBGE Pesquisas — Brasil Cidades + Pydantic AI FAQ
Common questions about integrating IBGE Pesquisas — Brasil Cidades MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect IBGE Pesquisas — Brasil Cidades with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect IBGE Pesquisas — Brasil Cidades to Pydantic AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
