How to Use the IBAMA Dados Abertos MCP in Mastra AI

Q: How do I require human approval before running a search?

You use the framework's tool approval configuration on the datastoresearch tool. The agent pauses its execution and waits for a manual sign-off before querying the live database.

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Connect IBAMA Dados Abertos MCP to Mastra AI

Create your Vinkius account to connect IBAMA Dados Abertos 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 IBAMA Dados Abertos with Mastra AI

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Automate environmental compliance runs with Mastra AI

`datastore_search` queries Brazilian environmental infraction records to verify compliance status during automated workflow steps. Your Mastra AI agents run these checks on a schedule, catching new violations before they impact operations. If the Brazilian portal experiences a temporary outage, Mastra AI handles the error using its built-in exponential backoff. The agent retries `show_resource` until the connection stabilizes, ensuring your pipeline never fails silently.

Build multi-step discovery pipelines via MCP Server tools

`search_datasets` acts as the entry point for your agentic discovery loops. Mastra AI coordinates the transition from finding a dataset to extracting its schema with `show_dataset` without hardcoded scripts. You define conditional branches based on what the tools return. If the agent finds a critical update through `search_resources`, it triggers an immediate escalation workflow to alert your compliance team.

Map organizational structures automatically

`list_organizations` retrieves the active departments within the Brazilian environmental ministry. Your Mastra AI agent uses this list to map out which department holds the relevant enforcement files. The agent then calls `show_organization` to extract specific datasets owned by that group. This automates the tedious work of digging through government portals manually.

Setup guide

Set up IBAMA Dados Abertos 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 IBAMA Dados Abertos 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: "ibama-dados-abertos-mcp-client",
  servers: {
    "ibama-dados-abertos-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "IBAMA Dados Abertos Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to IBAMA Dados Abertos tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent IBAMA Dados Abertos transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IBAMA Dados Abertos. 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 IBAMA Dados Abertos MCP in Mastra AI

Mastra AI uses built-in retry logic with exponential backoff. When `datastore_search` hits a rate limit, the workflow pauses and retries automatically.

Yes, you register the MCP Server tools directly inside your Mastra AI agent. The agent uses `search_resources` and `show_dataset` to monitor environmental infraction registries without human intervention.

No, you expose the tools of this MCP Server to your Mastra AI agent with a few lines of configuration. The agent instantly gains the ability to run `list_groups` and query tables.

You use the framework's tool approval configuration on the `datastore_search` tool. The agent pauses its execution and waits for a manual sign-off before querying the live database.

Yes, Vinkius runs the server in an isolated V8 sandbox with TLS encryption. Your queries for infraction data are processed in-memory and destroyed immediately after the session closes.

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