How to Use the Ship24 MCP in Vercel AI SDK

Q: What happens when I run a bulk tracker request using Ship24 and the AI SDK?

The createbulktrackers tool takes your list of numbers, processes them in batches, and streams the results back to the UI as they come in. You get status updates for all shipments without hitting any dead ends.

Build real-time logistics UIs for your AI client.

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Connect Ship24 MCP to Vercel AI SDK

Create your Vinkius account to connect Ship24 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 Ship24 with Vercel AI SDK

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Display Live Tracking Updates

Use `get_live_tracking` to fetch package updates and stream them directly into the UI. You don't get a loading spinner; the status changes in real time as your agent pulls data. This is crucial for frontends built with Next.js or Svelte. Because results stream instantly, users see the tracking update pop up live—it feels native, not like an API call finished later.

Handle Bulk Tracking Status

Need to track fifty shipments at once? Call `create_bulk_trackers`. It processes the entire list and streams results back so you can update multiple records simultaneously. Forget writing complex batch endpoints. This tool handles the queueing, letting your agent manage large volumes of data efficiently for your end-users.

Lookup Single Tracker Details

When a user only knows the number, use `find_tracker_by_number`. It quickly pulls all necessary details from global carriers and passes them to your streaming component. This keeps your UI snappy. Instead of waiting for a full page refresh, you get specific data points (like estimated delivery dates) streamed right where they belong.

Setup guide

Set up Ship24 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 Ship24 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 Ship24 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 Ship24. 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 Ship24 MCP in Vercel AI SDK

It streams the updates directly to your frontend. When you call `get_live_tracking` through the AI SDK, the data appears live—no waiting for a batch response. You build apps that feel fast and reactive.

Absolutely. The AI SDK is built for streaming results, which makes it perfect for component-based frameworks like Next.js. You just stream the MCP tool result directly into your React components.

The `create_bulk_trackers` tool takes your list of numbers, processes them in batches, and streams the results back to the UI as they come in. You get status updates for all shipments without hitting any dead ends.

Yep. The server handles rate limiting and failure modes internally. It keeps your user experience smooth, even when dealing with thousands of global carriers and high volumes of data.

It touches all core shipment metadata: the original tracking number, carrier code, current status (e.g., 'In Transit'), and estimated delivery date.

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