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How to Use the Aracaju MCP in Mastra AI

Build resilient municipal audit workflows that pull Aracaju data automatically using Mastra AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Aracaju MCP to Mastra AI

Create your Vinkius account to connect Aracaju 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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Track procurement with this MCP Server.

The `list_bids` and `list_contracts` tools allow your Mastra AI agents to track municipal procurement processes automatically. Complex workflows require stability. If the city's transparency portal times out during a heavy contract lookup, the framework automatically retries the fetch using exponential backoff.

Conditional branching for city finance.

Workflows trigger the `list_expenses` and `list_revenues` tools to audit city cash flow. You configure logic that reacts to the data. If an expense exceeds a specific threshold, the agent branches the execution to notify an auditor instead of just logging the record.

Human-in-the-loop payroll audits.

Running the `list_personnel` tool pulls raw public servant records directly into your workflow state. Because payroll data often requires manual review, you turn on requireToolApproval. This pauses the execution until an admin confirms the payload, ensuring accurate reporting before the agent proceeds.

Setup guide

Set up Aracaju 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Aracaju tools become native Mastra tools.

  4. 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: "aracaju-mcp-client",
  servers: {
    "aracaju-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Aracaju Transparency. 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.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Aracaju MCP in Mastra AI

Install @mastra/mcp@latest. Initialize a new MCPClient with your Vinkius URL and spread mcpClient.listTools() into your agent configuration.
It doesn't force a specific protocol. The framework auto-detects your transport method, supporting both Streamable HTTP and SSE for pulling municipal records.
Built-in conditional branching handles this perfectly. You route the workflow to alternative reporting steps if a specific tender search fails.
You deploy with a single command to your preferred cloud provider. The Vinkius endpoint remains the same regardless of where you host the agent.
The tools access strictly public domain information, specifically city revenues, signed contracts, and personnel salaries. Every request executes inside an ephemeral V8 sandbox, leaving zero trace of your Mastra AI workflow data.

Start using the Aracaju MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 5 tools

We've already built the connector for Aracaju. Just plug in your AI agents and start using Vinkius.

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