How to Use the Cartrack MCP in Mastra AI

Build resilient fleet management workflows with Mastra AI that handle API failures gracefully.

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Connect Cartrack MCP to Mastra AI

Create your Vinkius account to connect Cartrack 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 Cartrack with Mastra AI

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Automate fleet alerts with Mastra AI

This fleet management server lets you build Mastra AI workflows that poll for speeding tickets automatically. Speeding costs money, so catching those events early matters. Your workflow polls `list_fleet_alerts` every ten minutes, and built-in backoff handles any API timeouts. Once an alert triggers, the workflow branches based on severity. It uses `get_vehicle_position` to check if the truck is currently on a highway. If the driver is speeding in a residential zone, it immediately escalates the warning to the dispatcher.

Audit fuel consumption automatically

This MCP server automates manual gas mileage checks to save hours of administrative time. Set up a scheduled agent that runs through `list_vehicles` and grabs the ID for every active truck in your roster. The system then loops through `get_fuel_status` for each ID. If a specific vehicle shows a massive drop in efficiency, the server feeds that data back to your agent. You configure conditional logic to flag maintenance automatically.

Monitor geofence compliance reliably

This integration pulls boundary rules to monitor geofence compliance reliably. Trucks leaving designated zones usually means trouble. Your agent pulls the boundary rules via `list_geofences` and compares them against live locations. Finding out a driver went off-route requires historical context. The workflow calls `list_vehicle_trips` to see exactly when they crossed the line. If it was an authorized detour, the script logs it and closes the ticket without bothering a human.

Setup guide

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

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

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

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Common questions about Cartrack MCP in Mastra AI

Initialize an MCPClient with your Vinkius endpoint URL. Call mcpClient.listTools() and spread the results directly into your agent's tool array. The framework auto-detects the streamable HTTP transport.

Yes, the framework includes automatic retries with exponential backoff. If the fleet management API drops a connection during a query, the workflow engine automatically attempts the call again.

No, the client handles transport detection natively. Just provide the remote URL and it figures out whether to use SSE or HTTP for the connection.

Enable the requireToolApproval flag on your agent configuration. When the system detects a severe speeding event, it pauses the workflow until a manager approves the next action.

Every request processing your trip logs and fuel metrics happens inside an ephemeral zero-trust container. The execution environment vanishes the millisecond your workflow finishes. We store zero persistent records of your fleet movements.

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