Is this the same data as the Brasil Cidades portal?

Yes! This server accesses the **exact same API** that powers the official [Brasil Cidades](https://cidades.ibge.gov.br) portal — the IBGE's premier municipal indicator platform.

IBGE Pesquisas — Brasil Cidades MCP Server for CrewAI 4 tools — connect in under 2 minutes

Name: IBGE Pesquisas — Brasil Cidades
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 4 Tools Framework

Connect your CrewAI agents to IBGE Pesquisas — Brasil Cidades through Vinkius, pass the Edge URL in the `mcps` parameter and every IBGE Pesquisas — Brasil Cidades tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="IBGE Pesquisas — Brasil Cidades Specialist",
    goal="Help users interact with IBGE Pesquisas — Brasil Cidades effectively",
    backstory=(
        "You are an expert at leveraging IBGE Pesquisas — Brasil Cidades tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in IBGE Pesquisas — Brasil Cidades "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 4 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, IBGE Pesquisas — Brasil Cidades becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call IBGE Pesquisas — Brasil Cidades tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the IBGE Pesquisas — Brasil Cidades MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 4 tools from IBGE Pesquisas — Brasil Cidades

Why Use CrewAI with the IBGE Pesquisas — Brasil Cidades MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with IBGE Pesquisas — Brasil Cidades through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

IBGE Pesquisas — Brasil Cidades + CrewAI Use Cases

Practical scenarios where CrewAI combined with the IBGE Pesquisas — Brasil Cidades MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries IBGE Pesquisas — Brasil Cidades for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries IBGE Pesquisas — Brasil Cidades, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain IBGE Pesquisas — Brasil Cidades tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries IBGE Pesquisas — Brasil Cidades against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

IBGE Pesquisas — Brasil Cidades MCP Tools for CrewAI (4)

These 4 tools become available when you connect IBGE Pesquisas — Brasil Cidades to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting IBGE Pesquisas — Brasil Cidades to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

IBGE Pesquisas — Brasil Cidades + CrewAI FAQ

Common questions about integrating IBGE Pesquisas — Brasil Cidades MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.