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HyperTrack MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect HyperTrack through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 HyperTrack, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
HyperTrack
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 HyperTrack MCP Server

Empower your AI agents to manage your logistics and field operations with HyperTrack. This MCP server allows you to list tracked devices, monitor active trips, manage geofences, track field workers, and view order statuses directly through the HyperTrack API. Ideal for automating last-mile delivery and field service management.

The Vercel AI SDK gives every HyperTrack tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The HyperTrack MCP Server exposes 10 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 HyperTrack to Vercel AI SDK via MCP

Follow these steps to integrate the HyperTrack MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from HyperTrack and passes them to the LLM

Why Use Vercel AI SDK with the HyperTrack MCP Server

Vercel AI SDK provides unique advantages when paired with HyperTrack through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same HyperTrack integration everywhere

03

Built-in streaming UI primitives let you display HyperTrack tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

HyperTrack + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the HyperTrack MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query HyperTrack in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate HyperTrack tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed HyperTrack capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with HyperTrack through natural language queries

HyperTrack MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect HyperTrack to Vercel AI SDK via MCP:

01

get_device

Retrieves details for a specific device

02

get_geofence

Retrieves details for a specific geofence

03

get_order

Retrieves details for a specific order

04

get_trip

Retrieves details for a specific trip

05

get_worker

Retrieves details for a specific worker

06

list_devices

Lists all registered devices

07

list_geofences

Lists all geofences

08

list_orders

Lists all orders

09

list_trips

Lists all trips

10

list_workers

Lists all workers

Example Prompts for HyperTrack in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with HyperTrack immediately.

01

"List all devices currently being tracked in HyperTrack."

02

"Show me the details for trip ID 'abc-123'."

03

"Check for any active geofences in the system."

Troubleshooting HyperTrack MCP Server with Vercel AI SDK

Common issues when connecting HyperTrack to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

HyperTrack + Vercel AI SDK FAQ

Common questions about integrating HyperTrack MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect HyperTrack to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.