How to Use the IBGE Economia — CNAE Activities MCP in OpenAI Agents SDK

Query Brazil's entire CNAE economic taxonomy directly inside your OpenAI Agents SDK workflows using this MCP Server.

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Connect IBGE Economia — CNAE Activities MCP to OpenAI Agents SDK

Create your Vinkius account to connect IBGE Economia — CNAE Activities to OpenAI Agents SDK 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 Economia — CNAE Activities with OpenAI Agents SDK

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Map compliance codes with OpenAI Agents SDK

Using `list_secoes_cnae` and `list_divisoes_cnae` lets your agents navigate Brazil's fiscal tax structure without hardcoding taxonomy rules. By exposing these tools directly to your agent system, your agents can dynamically trace business activities from broad sectors down to specific divisions. This keeps your registration pipelines accurate without manual database lookups. The OpenAI Agents SDK automatically handles tool discovery when you pass this MCP Server to the constructor. Your agents can query `list_classes_cnae` on the fly, allowing them to classify corporate activities based on raw user descriptions.

Validate business activities using guardrails

Running `get_subclasse_cnae` pulls exact definitions of any of the 1,332 subclasses to prevent classification errors. Production systems cannot tolerate classification errors that lead to tax penalties. Use the SDK to set up strict validation guardrails, meaning your agent checks the returned code against your business rules before committing it to your database. When an agent needs to drill down further, it can invoke `list_subclasses_por_classe` to see every valid subclass under a parent class. This keeps your automated classification workflow rigid, predictable, and audit-proof.

Set up specialized agents for tax mapping

Using `list_secoes_cnae` allows you to map complex, multi-sector corporate structures by coordinating specialized agents. You can set up a multi-agent system where one agent identifies the primary sector, then hands off the task to a specialized compliance agent. This second agent uses `get_subclasse_cnae` to pinpoint the exact registration code. Every tool invocation and handoff is tracked in your OpenAI dashboard. If an agent struggles to classify a hybrid business model, you can review the exact sequence of tool calls to refine your prompts or fallback logic.

Setup guide

Set up IBGE Economia — CNAE Activities MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all IBGE Economia — CNAE Activities tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives IBGE Economia — CNAE Activities tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate IBGE Economia — CNAE Activities tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="IBGE Economia — CNAE Activities Agent",
            instructions="You have access to IBGE Economia — CNAE Activities tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about IBGE Economia — CNAE Activities MCP in OpenAI Agents SDK

You install the package using pip install openai-agents and configure the connection parameters. Use the MCPServerStreamableHttp class to connect to the hosted endpoint, then pass that instance into your Agent constructor within an async context manager.

Yes, the SDK automatically discovers all five endpoints exposed by the server. Your agents will instantly know how to invoke tools like `list_secoes_cnae` or `get_subclasse_cnae` without any manual schema mapping on your part.

You should set the cacheToolsList parameter to True when configuring your server stream. This prevents the SDK from repeatedly querying the server for its tool definitions on every single agent interaction.

You can control access by configuring your agent's system instructions or by exposing only specific tools during the server registration step. This ensures a general triage agent does not waste context on deep subclass lookups unless necessary.

The server only processes public IBGE taxonomy codes and standard classification requests, meaning your proprietary corporate data never leaves your secure execution sandbox. Vinkius runs the server in an isolated V8 sandbox, ensuring that your raw classification queries are processed ephemerally and never written to persistent storage.

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