How to Use the IBGE Nomes — Nomes do Brasil MCP in CrewAI

Q: Does CrewAI support IBGE Nomes — Nomes do Brasil tool filtering?

It does. You use the toolfilter option to restrict which tools each agent can use. It keeps your crew's scope clean and focused.

Deploy a specialized agent crew to analyze Brazilian census data with the IBGE Nomes — Nomes do Brasil MCP Server.

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Connect IBGE Nomes — Nomes do Brasil MCP to CrewAI

Create your Vinkius account to connect IBGE Nomes — Nomes do Brasil 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 Nomes — Nomes do Brasil with CrewAI

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Perplexity

Role-based research using MCP Server

Assign a dedicated researcher agent to query `get_ranking_nomes`. It gathers the national data while your analyst agent prepares the final brief. This specialization keeps your crew efficient. Each agent focuses on one aspect of the census data, preventing overlapping work.

Regional demographic monitoring

Use `get_nome_por_localidade` to have your agents track name popularity across different states. The monitor agent flags any significant shifts in the data. This creates an autonomous loop for your operations. You set the parameters, and the crew handles the continuous data checking.

Historical trend reporting with CrewAI

Task your agents with generating detailed reports using `get_nome_frequencia`. They pull the decadal data and summarize it into actionable insights. Your agents work in sequence to ensure the data is accurate. It removes the need for manual data gathering, letting your crew do the heavy lifting.

Setup guide

Set up IBGE Nomes — Nomes do Brasil 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 Nomes — Nomes do Brasil tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent IBGE Nomes — Nomes do Brasil 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 Nomes — Nomes do Brasil MCP in CrewAI

You pass the tool list directly to the agent definition in your crew configuration. This ensures only the correct agent accesses the census data.

You can. By giving your crew access to the locality tools, they can run parallel queries for different regions and synthesize the findings.

It does. You use the tool_filter option to restrict which tools each agent can use. It keeps your crew's scope clean and focused.

You check the agent execution logs. CrewAI records every tool input and output, showing you exactly what the server returned.

The server uses isolated, ephemeral connections. Since it only serves public census figures, there is no risk of exposing sensitive data.

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