How to Use the Fleetio MCP in Mastra AI

Q: How do I require human approval before Mastra AI modifies Fleetio records?

You set the tool approval flag on critical tools like createissue. The workflow pauses and waits for a manager's confirmation before writing any data to your fleet account.

Build self-healing fleet workflows with Mastra AI and automate your maintenance dispatching.

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Connect Fleetio MCP to Mastra AI

Create your Vinkius account to connect Fleetio 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 Fleetio with Mastra AI

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Build Resilient Workflows with Mastra AI

This Fleetio MCP Server connects directly to your Mastra AI agent to handle vehicle failures without manual intervention. When a driver reports a breakdown, the agent calls `create_issue` to log the problem in your system. If the API call fails, Mastra's built-in retry engine handles backoffs automatically. The workflow engine then branches based on severity. It runs `get_issue` to check the urgency level, then automatically alerts the correct local mechanic if the truck is completely disabled.

Odometer-Triggered Preventative Maintenance

Mastra AI agents run scheduled loops to verify mileage updates using `create_meter_entry`. The agent checks these values against your service schedule to keep your fleet running smoothly. If a truck passes its service limit, the agent queries `list_service_reminders` to find the exact maintenance package needed. It then drafts a work order automatically, preventing costly engine failures before they happen.

Vendor and Fuel Expense Auditing

Your agent monitors fuel costs by pulling receipts with `list_fuel_entries`. It matches each transaction against known fuel card locations to spot unauthorized purchases instantly. Invoice checks happen automatically by calling `list_vendors` to make sure you pay the correct shop rates. If a price mismatch occurs, the agent pauses the workflow and notifies your finance team.

Setup guide

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

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

const result = await agent.generate(
  "List recent Fleetio 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 Fleetio. 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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Common questions about Fleetio MCP in Mastra AI

You define a step-by-step workflow in TypeScript. The agent uses `list_work_orders` to check open tasks, then conditionally triggers updates based on truck availability.

Yes, Mastra's workflow engine retries transient network errors when calling tools like `create_meter_entry`. You configure the backoff strategy directly in your agent's step definition.

You set the tool approval flag on critical tools like `create_issue`. The workflow pauses and waits for a manager's confirmation before writing any data to your fleet account.

You deploy your Mastra project to any cloud provider using a single terminal command. The MCP Server runs in Vinkius, meaning your agent accesses fleet data securely from any serverless environment.

All operations run inside ephemeral Vinkius sandboxes. The MCP Server processes your `list_fuel_entries` and mileage logs in memory and never stores them on external disks, keeping your operational costs private.

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