How to Use the IBGE Pesquisas — Brasil Cidades MCP in CrewAI

Deploy autonomous research crews using CrewAI to monitor and analyze IBGE municipal trends.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect IBGE Pesquisas — Brasil Cidades MCP to CrewAI

Create your Vinkius account to connect IBGE Pesquisas — Brasil Cidades to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup IBGE Pesquisas — Brasil Cidades with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent research crews

Assign a researcher agent to `list_pesquisas` while your analyst agent runs `get_resultados`. They share memory, allowing the analyst to build on the data the researcher just found. This setup removes the need for manual orchestration. Each agent knows its role and uses the tools to contribute to the final policy report.

Hierarchical data processing

Set a manager agent to oversee `get_ranking_indicador` calls. It can delegate specific regional queries to subordinate agents based on their assigned geographic focus. This keeps your operations organized. You get a clear chain of command where data is gathered, evaluated, and synthesized into actionable insights for your team.

Autonomous monitoring cycles

Create a continuous loop where your agents periodically query `get_indicadores`. If the data shifts, the crew generates a report on the spot without human intervention. It is the perfect setup for tracking regional changes over time. Your agents stay on top of the numbers, ensuring you never miss a shift in municipal performance.

Setup guide

Set up IBGE Pesquisas — Brasil Cidades MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke IBGE Pesquisas — Brasil Cidades tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="IBGE Pesquisas — Brasil Cidades Analyst",
    goal="Access and analyze IBGE Pesquisas — Brasil Cidades data via MCP.",
    backstory="Expert analyst with direct IBGE Pesquisas — Brasil Cidades access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent IBGE Pesquisas — Brasil Cidades transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="IBGE Pesquisas — Brasil Cidades Analyst",
        goal="Access and analyze IBGE Pesquisas — Brasil Cidades data via MCP.",
        backstory="Expert analyst with direct IBGE Pesquisas — Brasil Cidades access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent IBGE Pesquisas — Brasil Cidades transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect IBGE Pesquisas — Brasil Cidades now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about IBGE Pesquisas — Brasil Cidades MCP in CrewAI

Yes, the agents use shared memory to pass results between tasks. Once one agent retrieves data, the rest of the crew can analyze it immediately.

You pass the server URL to your agents in the configuration. They gain access to the tools and can start collaborating on data analysis tasks right away.

All traffic is secured via TLS, and the server validates every request through your unique endpoint token. Your agent communication remains private and verified.

You can use tool filters in your agent definition to limit access. This ensures that only the relevant agents have the ability to query the IBGE database.

No, it is restricted to public municipal indicators. The security architecture ensures that the server only interfaces with non-sensitive, official government datasets.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript