How to Use the IBGE Censo & SIDRA — Dados Censitários MCP in CrewAI

Q: Can a CrewAI agent dynamically discover new statistical tables in IBGE Censo & SIDRA — Dados Censitários?

Yes, agents can use listagregados to search the SIDRA catalog based on natural language queries. They can find tables for GDP, population, or agricultural production without manual configuration.

Q: How does CrewAI handle complex geographic filtering with IBGE Censo & SIDRA — Dados Censitários?

Your agents can read the geographic levels from getagregadometadados and construct queries for specific states or municipalities when calling getagregadodata through the MCP Server, ensuring precise regional analysis.

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Setup IBGE Censo & SIDRA — Dados Censitários with CrewAI

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Multi-agent Brazilian economic analysis

Locating relevant inflation and employment tables across your CrewAI team starts by invoking `list_agregados`. By separating discovery from extraction, your CrewAI team avoids making blind API calls to the IBGE servers. The researcher agent hands off the verified table metadata to an analyst agent, who then runs `get_agregado_data` to pull the exact figures.

Coordinate historical trends across agents

Mapping out the historical intervals available in the SIDRA database requires your lead agent to call `get_agregado_periodos`. Analyzing temporal shifts in Brazil's GDP using CrewAI requires coordinating multiple steps. Once the timeline is established, the lead CrewAI agent delegates specific years to sub-agents. This parallel extraction using this MCP Server allows your crew to compile long-term economic trends without hitting execution bottlenecks.

Automated data validation using CrewAI

Auditing the classifications of a SIDRA dataset before any analysis begins relies on calling `get_agregado_metadados`. Ensure your automated CrewAI reports don't contain misaligned statistical variables. If the variables don't match the required economic indicators, the CrewAI supervisor halts the pipeline. This validation step guarantees that your final reports are based on the correct statistical definitions from IBGE.

Setup guide

Set up IBGE Censo & SIDRA — Dados Censitários 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 Censo & SIDRA — Dados Censitários tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent IBGE Censo & SIDRA — Dados Censitários 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 Censo & SIDRA — Dados Censitários MCP in CrewAI

You can pass the tools directly into the agent definitions. For example, give your researcher agent access to `list_agregados` and your analyst agent access to `get_agregado_data` to maintain clear operational roles.

Yes, agents can use `list_agregados` to search the SIDRA catalog based on natural language queries. They can find tables for GDP, population, or agricultural production without manual configuration.

Your agents can read the geographic levels from `get_agregado_metadados` and construct queries for specific states or municipalities when calling `get_agregado_data` through the MCP Server, ensuring precise regional analysis.

Yes, you can set max execution limits on your CrewAI agents. This prevents them from repeatedly calling the data tools in an infinite loop during complex research tasks.

No, all interactions with the SIDRA API occur over encrypted connections routed through zero-trust environments. Your specific queries for GDP and demographic metrics remain entirely confidential.

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