How to Use the IBGE Serviços de Dados MCP in CrewAI

Q: How do I add IBGE Serviços de Dados to a CrewAI agent?

You pass the server URL directly into the mcps parameter of your Agent. CrewAI handles the connection and exposes the tools automatically.

Q: Is it possible to filter which IBGE Serviços de Dados tools my CrewAI agents see?

Yes. You can use the toolfilter option to restrict agents to specific functions, ensuring they only use the tools relevant to their assigned role.

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Connect IBGE Serviços de Dados MCP to CrewAI

Create your Vinkius account to connect IBGE Serviços de Dados 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.

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Setup IBGE Serviços de Dados with CrewAI

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Perplexity

Specialized agent collaboration

Assign one agent to watch `get_noticias` while another analyzes the impact using `get_cnae_classe`. CrewAI manages the memory between these agents so they share findings without redundant calls. This role-based setup lets your crew function like a real research desk. You get a cohesive report instead of disconnected data points.

Autonomous regional monitoring

Task a monitor agent with tracking specific state data via `get_malha_estado`. If the data changes, the agent alerts the rest of the crew to adjust their strategy. This keeps your operations current. You are always reacting to the latest geographic and economic shifts documented by the IBGE.

Scalable data gathering

Use the `get_nomes_frequencia` and `get_agregados` tools across a hierarchical crew structure. Your primary agent can delegate specific data extraction tasks to sub-agents for faster execution. This approach handles high-volume requests efficiently. Your crew can parse vast amounts of information while you focus on the final output.

Setup guide

Set up IBGE Serviços de Dados 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 Serviços de Dados tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent IBGE Serviços de Dados 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 Serviços de Dados Analyst",
        goal="Access and analyze IBGE Serviços de Dados data via MCP.",
        backstory="Expert analyst with direct IBGE Serviços de Dados access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent IBGE Serviços de Dados 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.

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Common questions about IBGE Serviços de Dados MCP in CrewAI

You pass the server URL directly into the `mcps` parameter of your Agent. CrewAI handles the connection and exposes the tools automatically.

They can. Using shared memory, agents can pass findings from one to another, allowing for complex analysis across the whole crew.

Yes. You can use the `tool_filter` option to restrict agents to specific functions, ensuring they only use the tools relevant to their assigned role.

It does. Whether you use stdio or HTTP, the framework maintains the connection between your crew and the server.

The server uses a zero-trust model. It only provides access to public statistical records, ensuring your private crew workflows are never exposed to external entities.

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