How to Use the J&T Express Malaysia MCP in Vercel AI SDK

Q: How do I connect J&T Express Malaysia to Vercel AI SDK?

Install @ai-sdk/mcp. Initialize the client with createMCPClient pointing to your endpoint. Pass the resulting tools to streamText to start booking shipments.

Q: Can the Vercel AI SDK stream J&T Express Malaysia tracking data?

Yes. When the model invokes trackorder, the SDK streams the tool execution results back to your frontend. The user sees the parcel location update instantly.

Q: Does this MCP Server handle J&T area codes?

It does. The listareacodes tool pulls the exact internal routing data required for successful delivery. Your agent maps this data before calling the order creation endpoint.

Q: How do I cancel a J&T Express Malaysia order via Vercel AI SDK?

Your agent triggers the cancelorder tool with the specific bill code. You can wire this into a customer service chatbot so users can void shipments themselves.

Stream live J&T Express Malaysia tracking updates and shipping rates straight into your Next.js frontend using Vercel AI SDK.

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Connect J&T Express Malaysia MCP to Vercel AI SDK

Create your Vinkius account to connect J&T Express Malaysia 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 J&T Express Malaysia with Vercel AI SDK

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Claude

Perplexity

Stream shipping rates to React

Address validation kills conversion rates if it hangs. Using the Vercel AI SDK, your agent hits `list_provinces`, `list_cities`, and `list_districts` to build a valid destination profile instantly. The user watches the dropdowns populate live as the LLM processes the location data. Once the address checks out, the model calls `get_shipping_rates`. Instead of a loading spinner, the customer sees the exact ringgit amounts stream into their cart UI. You get fast, edge-compatible rate quoting without writing custom API wrappers for this MCP Server.

Vercel AI SDK tracking feeds

Customers spam support when they cannot find their packages. Build a chat interface that calls `track_order` and streams the exact GPS and status updates directly to the browser. The Vercel AI SDK handles the tool execution while your Next.js app renders the timeline components. If a package gets delayed, the agent can immediately pull the full history using `get_order_details`. The user reads the exact reason for the hold-up as the text generates. It keeps them on your page instead of bouncing to the carrier site.

Generate labels in the browser

Merchants need waybills immediately after checkout. You can wire `create_order` into your server actions so the agent books the shipment the second the payment clears. The MCP Server handles the J&T payload formatting behind the scenes. The model follows up by executing `get_waybill_image`. Your frontend receives the image link and renders the printable label right in the user's dashboard. If something breaks, the agent just runs `cancel_order` before the driver dispatches.

Setup guide

Set up J&T Express Malaysia 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 J&T Express Malaysia 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 J&T Express Malaysia 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 J&T Express Malaysia. 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 J&T Express Malaysia MCP in Vercel AI SDK

Install `@ai-sdk/mcp`. Initialize the client with `createMCPClient` pointing to your endpoint. Pass the resulting tools to `streamText` to start booking shipments.

Yes. When the model invokes `track_order`, the SDK streams the tool execution results back to your frontend. The user sees the parcel location update instantly.

It does. The `list_area_codes` tool pulls the exact internal routing data required for successful delivery. Your agent maps this data before calling the order creation endpoint.

Your agent triggers the `cancel_order` tool with the specific bill code. You can wire this into a customer service chatbot so users can void shipments themselves.

The server processes physical delivery addresses, phone numbers, and bill codes. Vinkius runs this integration in an ephemeral V8 Isolate Sandbox. The process spins up, handles the routing data, and terminates. Nothing persists in our memory.

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