How to Use the Fleetio MCP in Vercel AI SDK

Q: Can the agent schedule maintenance reminders automatically?

The agent checks current schedules using getservicereminder to find open slots. It then suggests the best time to the user and displays the draft reminder on screen.

Build live-streaming fleet dashboards with Vercel AI SDK to feed real-time truck data directly to your users.

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Connect Fleetio MCP to Vercel AI SDK

Create your Vinkius account to connect Fleetio to Vercel AI SDK 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 Vercel AI SDK

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Stream Fleetio MCP Server Data to Your UI

This Fleetio MCP Server lets your Vercel AI SDK application pull live truck metrics on demand. Your users watch vehicle profiles populate instantly on the screen without waiting for a full page refresh. The agent calls `list_vehicles` and streams the JSON array straight into your React or Next.js components. Immediate feedback loops keep dispatchers updated on truck locations. When a vehicle needs attention, the agent triggers `get_vehicle` to grab specific diagnostic codes. It feeds this data directly into your edge-rendered UI cards without blocking the main execution thread.

Instant Meter and Fuel Log Updates

Your AI agent processes driver inputs and updates vehicle mileage instantly using `create_meter_entry`. Instead of making drivers wait for a database roundtrip, the Vercel AI SDK streams the success confirmation directly to their mobile screen. Odometer logs get cross-referenced with fuel receipts by running `list_fuel_entries` in the background. The agent flags anomalies on the fly, showing fuel efficiency drops in a live-updating chart.

Interactive Maintenance Issue Dispatch

Technicians resolve vehicle breakdowns faster by interacting with an agent that creates maintenance tickets via `create_issue`. The Vercel AI SDK renders the newly generated ticket details in real time as the agent pulls them from `get_issue`. Users approve service plans directly inside the chat interface. The client pulls active service timelines using `list_service_reminders` to show technicians exactly where the new issue fits into the weekly garage schedule.

Setup guide

Set up Fleetio MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Fleetio tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Fleetio transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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 Vercel AI SDK

You run the MCP client inside your edge route and let Vercel handle the execution limits. The SDK handles streaming chunks, so if a call to `list_work_orders` takes a second, the user still sees the UI loading state update progressively.

Yes, you feed the tools directly to your LLM generator. The agent calls `list_issues` and formats the active truck problems directly into your custom React components.

You pass your Vinkius endpoint token in the MCP client configuration. The server manages the actual Fleetio API keys securely, so your client-side code never exposes sensitive credentials.

The agent checks current schedules using `get_service_reminder` to find open slots. It then suggests the best time to the user and displays the draft reminder on screen.

Your data stays inside Vinkius's secure sandboxed V8 isolates. The MCP Server only fetches the required `list_fuel_entries` and meter logs to answer the agent's prompt, then wipes the session memory immediately.

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