How to Use the Minas Gerais (Estado) MCP in Mastra AI

Build resilient data workflows for Minas Gerais (Estado) with the Mastra AI framework and automated error handling.

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Connect Minas Gerais (Estado) MCP to Mastra AI

Create your Vinkius account to connect Minas Gerais (Estado) 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 Minas Gerais (Estado) with Mastra AI

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Claude

Perplexity

Automated data workflows for Mastra AI

Construct multi-step pipelines that fetch and process state data automatically. Use `list_packages` to trigger subsequent actions like `get_package` for detailed analysis. If the connection to the server drops, Mastra AI handles the retry logic for you. Your agents keep working until they get the data they need.

Conditional data branching in your agent

Make logic decisions based on the content of the data returned by `get_group` or `list_organizations`. You can define agent paths that trigger only when specific criteria are met. This allows for sophisticated automation that reacts to the state of public records. The agent framework executes these steps in the background, keeping your main process free.

Safe human-in-the-loop tool execution

Require manual approval before your agent executes sensitive actions like fetching large resource sets via `get_resource`. Mastra AI pauses the flow until you give the green light. This ensures your agents stay on track while interacting with the official state portal. You maintain total control over how and when data is accessed.

Setup guide

Set up Minas Gerais (Estado) 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 Minas Gerais (Estado) 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: "minas-gerais-estado-mcp-client",
  servers: {
    "minas-gerais-estado-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Minas Gerais (Estado) transactions"
);
console.log(result.text);

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Common questions about Minas Gerais (Estado) MCP in Mastra AI

Register the server in your agent config and call the tools within your workflow steps. The framework manages the execution cycle automatically.

Absolutely, configure the retry policy in your workflow definition. The agent will attempt to re-run the tool until it gets a successful response.

The data is handled in memory during your agent's execution. It doesn't persist beyond the scope of your defined workflow unless you explicitly save it.

You can use tool filtering to limit which functions your agent can see. This restricts the agent to only the data it needs to perform its job.

It manages concurrent connections efficiently. You can fire multiple tool calls at once without worrying about blocking the underlying API.

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