How to Use the HyperTrack MCP in Vercel AI SDK

Q: Can I filter HyperTrack trips inside the Vercel AI SDK?

You can use listtrips to pull the current collection. From there, your agent logic filters the results based on your specific application requirements.

Stream live HyperTrack location data directly into your React or Next.js UI using the Vercel AI SDK.

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Connect HyperTrack MCP to Vercel AI SDK

Create your Vinkius account to connect HyperTrack 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 HyperTrack with Vercel AI SDK

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Perplexity

Real-time trip monitoring

Feed live coordinates from `get_trip` directly into your frontend components. You avoid stale state by streaming location updates as the AI processes them. Your users watch the map move in real-time. It skips the loading spinners and keeps the interface snappy during active deliveries.

Device status updates

Call `get_device` to verify hardware health without leaving your Vercel AI SDK workflow. You see exactly what the driver's device reports at the edge. This keeps your application logic tight. You get the raw data you need, formatted for your UI, without extra backend trips.

Geofence event tracking

Use `list_geofences` to trigger UI updates when a driver crosses a boundary. The Vercel AI SDK handles the tool results so you can update your dashboard instantly. Your application logic stays focused on the user experience. You define the boundary, and the MCP Server handles the lookup.

Setup guide

Set up HyperTrack 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 HyperTrack 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 HyperTrack transactions",
});

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

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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 HyperTrack. 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.

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Common questions about HyperTrack MCP in Vercel AI SDK

Install the MCP client package and initialize it with your server URL. Use the tool definitions provided by the server within your streamText call to fetch live tracking data.

Yes, the transport layer is designed for low-latency environments. It performs well within edge runtimes, ensuring your tracking data stays current.

You can use `list_trips` to pull the current collection. From there, your agent logic filters the results based on your specific application requirements.

You pass your endpoint token during the client setup. The server manages the session handshake securely, keeping your API keys out of the browser.

The server only touches specific worker location coordinates and geofence status. All data transit is encrypted, and the server does not store permanent logs of these location pings.

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