Cartrack MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cartrack through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Cartrack, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Cartrack MCP Server
Connect your Cartrack fleet account to any AI agent and take full control of your telematics data and vehicle tracking through natural conversation. Optimize your fleet management and driver safety.
The Vercel AI SDK gives every Cartrack tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Live Tracking — Retrieve the real-time GPS position and basic status of any vehicle in your fleet natively
- Fleet Overview — List all registered vehicles and drivers to get a complete organizational snapshot
- Trip Intelligence — Analyze historical trip data, including routes and driving behavior flawlessly
- Fuel Monitoring — Monitor fuel levels and consumption metrics to identify inefficiencies securely
- Alert Oversight — List and review fleet alerts such as speeding, idling, or geofence breaches in real-time
- Geofence Mapping — Access details on all configured geofences to manage operational boundaries
The Cartrack MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Cartrack to Vercel AI SDK via MCP
Follow these steps to integrate the Cartrack MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Cartrack and passes them to the LLM
Why Use Vercel AI SDK with the Cartrack MCP Server
Vercel AI SDK provides unique advantages when paired with Cartrack through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cartrack integration everywhere
Built-in streaming UI primitives let you display Cartrack tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Cartrack + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cartrack MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cartrack in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cartrack tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cartrack capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cartrack through natural language queries
Cartrack MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Cartrack to Vercel AI SDK via MCP:
get_fuel_status
Get current fuel levels and consumption for a vehicle
get_vehicle_details
Get detailed information for a specific vehicle
get_vehicle_position
Get the real-time GPS position of a specific vehicle
list_fleet_alerts
List recent fleet alerts and events (speeding, etc)
list_fleet_drivers
List all registered drivers in the fleet
list_geofences
List all configured geofences for the fleet
list_vehicle_trips
List historical trips for a specific vehicle
list_vehicles
List all vehicles in the fleet
Example Prompts for Cartrack in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cartrack immediately.
"Where is vehicle with registration 'ABC-123' currently?"
"Show me the trip history for vehicle ID 999 for yesterday."
"Check the fuel levels for my entire fleet."
Troubleshooting Cartrack MCP Server with Vercel AI SDK
Common issues when connecting Cartrack to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCartrack + Vercel AI SDK FAQ
Common questions about integrating Cartrack MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Cartrack with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cartrack to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.