How to Use the Veeqo MCP in Vercel AI SDK

Q: Can I use Vercel AI SDK to build an interactive order tracker for Veeqo?

Absolutely. You can combine listorders with getorderdetails and stream the updates into a single component. The user sees the status change live, making the tracking process feel instantaneous.

Q: What kind of data does Vercel AI SDK touch when dealing with Veeqo inventory?

It touches product details and inventory levels via getproductdetails and listinventoryproducts. You'll be working with product names, SKUs, counts, and pricing information.

Q: Is Vercel AI SDK suitable for building a customer management portal using Veeqo?

Yes. By calling listcustomers, you can stream the list of customers directly into your UI component. This makes it feel less like an API call and more like native application functionality.

Q: If I use Vercel AI SDK, what is the data structure for Veeqo shipments?

The listshipments tool returns shipment records that include tracking numbers, carrier details, and status updates. This structured output streams directly into your TypeScript-typed UI elements.

See live Veeqo data stream directly into your UI with the Vercel AI SDK.

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Connect Veeqo MCP to Vercel AI SDK

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

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List Orders in Real Time (Vercel AI SDK)

Use `list_orders` to pull a current list of Veeqo orders. This data streams directly into your React component, letting users see updates as they happen without refreshing the page. It's perfect for building dashboards where visibility is key. Your agent can stream the results from multiple API calls—like listing customers via `list_customers` and immediately showing those results in the UI.

Fetch Product Details Live (Vercel AI SDK)

When a user clicks on an item, call `get_product_details`. The product specs stream into your client-side application instantly. This means zero latency for the end user; they see the data appearing in real time. You can pair this with listing all available stock using `list_inventory_products` to build a truly dynamic e-commerce view.

Manage Shipments Via Stream (Vercel AI SDK)

Get the status of current shipments by running `list_shipments`. Since this data is complex, streaming it ensures that if one part times out, you still get the successful parts. The user sees a live feed of updates. This capability pairs well with fetching order details using `get_order_details`, giving your front-end component a complete picture of fulfillment status right in the browser.

Setup guide

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

The streaming nature of the Vercel AI SDK handles volume by pushing results chunk-by-chunk to your front end. This avoids massive loading states and ensures a smooth, real-time user experience, even with thousands of records.

Absolutely. You can combine `list_orders` with `get_order_details` and stream the updates into a single component. The user sees the status change live, making the tracking process feel instantaneous.

It touches product details and inventory levels via `get_product_details` and `list_inventory_products`. You'll be working with product names, SKUs, counts, and pricing information.

Yes. By calling `list_customers`, you can stream the list of customers directly into your UI component. This makes it feel less like an API call and more like native application functionality.

The `list_shipments` tool returns shipment records that include tracking numbers, carrier details, and status updates. This structured output streams directly into your TypeScript-typed UI elements.

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