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

Enable multi-agent debate on economic data by connecting AutoGen to the IBGE Censo & SIDRA — Dados Censitários MCP server.

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Connect IBGE Censo & SIDRA — Dados Censitários MCP to AutoGen

Create your Vinkius account to connect IBGE Censo & SIDRA — Dados Censitários to AutoGen 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 Censo & SIDRA — Dados Censitários with AutoGen

Ask AI about this MCP

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Perplexity

Facilitate agent consensus on economic figures

Let your agents debate the validity of data retrieved by `get_agregado_data`. One agent can fetch the raw figures while another verifies them against metadata from `get_agregado_metadados`. This interaction creates a system of checks and balances. You get a decision based on verified numbers rather than a single, unchallenged output.

Automate multi-step research with specialized agents

Assign one agent to run `list_agregados` and another to analyze the results. They work together to narrow down the exact dataset needed for your economic policy review. It turns a complex search task into a collaborative effort. The agents coordinate their work to ensure they target the right tables before extracting values.

Build resilient data extraction workflows

Configure an agent to check `get_agregado_periodos` before committing to a data pull. If the desired time range is missing, the agent can report back to the team for a new strategy. This prevents runtime errors caused by querying invalid dates. You build a pipeline where agents anticipate issues and negotiate solutions based on the official SIDRA API output.

Setup guide

Set up IBGE Censo & SIDRA — Dados Censitários MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes IBGE Censo & SIDRA — Dados Censitários tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="IBGE Censo & SIDRA — Dados Censitários_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent IBGE Censo & SIDRA — Dados Censitários data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="IBGE Censo & SIDRA — Dados Censitários_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent IBGE Censo & SIDRA — Dados Censitários data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about IBGE Censo & SIDRA — Dados Censitários MCP in AutoGen

Agents share the tool outputs during their conversation, allowing them to cross-reference data and debate interpretations before presenting a final conclusion.

Yes. You can orchestrate a group chat where one agent handles data retrieval and another formats the findings into a report.

Absolutely. It provides your agents with direct access to official IPCA, GDP, and census data, which is essential for any quantitative analysis.

The server provides clear error messages that your agents can parse. You can instruct your agents to attempt a different query if the first one fails.

No. The tools only interact with public aggregate statistics. Your agent's internal memory and private data are kept entirely separate from the API calls.

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