How to Use the IBGE Economia — CNAE Activities MCP in Mastra AI

Build resilient, auto-retrying tax workflows using Mastra AI and the IBGE Economia — CNAE Activities MCP Server.

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Connect IBGE Economia — CNAE Activities MCP to Mastra AI

Create your Vinkius account to connect IBGE Economia — CNAE Activities to Mastra AI 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 Mastra AI

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Automate multi-step compliance checks

The `list_divisoes_cnae` tool retrieves specific divisions within a selected economic section to feed your automated compliance pipelines. Mastra AI executes this tool as part of a structured workflow, passing the output directly to downstream agents. If the IBGE endpoint experiences a temporary timeout, Mastra's built-in retry engine handles it automatically. Your workflow keeps running, ensuring that business registration checks complete without manual intervention.

Validate corporate activities automatically

The `get_subclasse_cnae` tool inspects the exact regulatory details of a business's primary activity. Your Mastra agent uses this to verify if a company's declared operations match its official registration records. You can write conditional branching logic that triggers an admin alert if a company lists a high-risk financial code. This lets you build automated onboarding systems that flag suspicious entities before they enter your database.

Drill down taxonomies with Mastra AI agents

The `list_subclasses_por_classe` tool gets every subclass under a specific parent class to help you audit complex corporate structures. By exposing this to a Mastra agent, you can automatically map a firm's secondary activities. This MCP Server integration allows you to build self-correcting workflows. If an initial lookup via `list_classes_cnae` returns ambiguous results, your agent can pivot and query alternative classifications until it finds a match.

Setup guide

Set up IBGE Economia — CNAE Activities MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All IBGE Economia — CNAE Activities tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "ibge-economia-cnae-activities-mcp-client",
  servers: {
    "ibge-economia-cnae-activities-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "IBGE Economia — CNAE Activities Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to IBGE Economia — CNAE Activities tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent IBGE Economia — CNAE Activities transactions"
);
console.log(result.text);

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Common questions about IBGE Economia — CNAE Activities MCP in Mastra AI

Instantiate the client using your Vinkius MCP endpoint, then pass the tools array directly into your agent configuration. The agent instantly gains access to get_subclasse_cnae and other taxonomy lookup tools.

Yes. Mastra AI lets you set up approval gates for sensitive operations, meaning an engineer can review the inputs before the agent queries list_subclasses_por_classe for audit purposes.

Mastra's workflow engine uses backoff strategies to space out requests to list_classes_cnae. This prevents your integration from hitting rate limits during large-scale batch processing.

Yes. You can run the Mastra client locally using the HTTP transport token provided by Vinkius, allowing you to test your classification logic before pushing to production.

All queries run through an ephemeral sandbox that discards session data immediately after execution. Your business classifications and tax categories are never cached or used for model training.

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