How to Use the Cartrack MCP in Vercel AI SDK

Stream live fleet tracking data and fuel metrics straight into your React frontend using the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cartrack MCP to Vercel AI SDK

Create your Vinkius account to connect Cartrack 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.

GDPR Free for Subscribers

Setup Cartrack with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream fleet data via MCP Server

Connecting this fleet tracking server lets your Next.js app pull live GPS coordinates without writing custom API routes. You call `get_vehicle_position` and the coordinates stream directly into your UI components as they resolve. Building dashboard widgets is much faster this way. Your agent pulls the full roster using `list_vehicles`, then fetches detailed specs with `get_vehicle_details` to populate a live React table. End users watch the fleet data appear instantly.

Build interactive trip history views

This MCP server feeds raw route data straight into your frontend state. Static maps belong in the past. You want users clicking a truck and immediately seeing where it drove yesterday by hooking up `list_vehicle_trips`. Combine that with `get_fuel_status` for real-time cost analysis. Now your Svelte or Vue interface shows exactly how much gas a specific route burned. The AI handles the data extraction, and your UI components just react to the incoming stream.

Surface critical driver alerts in real-time

This integration surfaces critical driver alerts the second they happen. Fleet managers need to know about speeding right away. Your application can poll `list_fleet_alerts` and push those events into a live notification feed. Context matters when an alert fires. The agent grabs the offender's profile via `list_fleet_drivers` and checks their boundaries using `list_geofences`. Everything streams back to the client side instantly.

Setup guide

Set up Cartrack 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 Cartrack 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 Cartrack 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 Cartrack. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Cartrack now

Real-time monitoring

Live

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 Cartrack MCP in Vercel AI SDK

Install @ai-sdk/mcp and initialize with createMCPClient. Pass the Vinkius endpoint URL as an HTTP transport. Call mcpClient.tools() to expose the fleet commands to streamText.

Yes. The AI SDK streams the tool execution results straight to the client. Your React components will render the fuel metrics as soon as the server returns them.

Not anymore. The MCP protocol handles the tool definitions and execution automatically. You just pass the Vinkius endpoint to your AI client and call the tools.

Pass your Vinkius endpoint token in the HTTP transport headers. The managed server handles the actual API credentials securely on the backend.

Live GPS coordinates and driver profiles remain isolated inside a V8 sandbox during execution. Vinkius spins up the environment just for your query and destroys it immediately after. Your proprietary route histories never persist on our infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript