How to Use the Zakeke MCP in Vercel AI SDK

Q: What happens when I check order status using Zakeke with the Vercel AI SDK?

You can call getorderdetails to retrieve information for a specific order ID. The Vercel AI SDK ensures this data appears in your UI immediately, so users don't see stale or delayed information.

Q: Can the Vercel AI SDK handle listing all compositions from Zakeke?

Absolutely. Just call listcompositions. The result streams right into your client-side code, letting you populate a dropdown or gallery with every available 3D product configuration.

Q: How do I use Zakeke to list customer designs with the Vercel AI SDK?

You execute the listdesigns tool. The Vercel AI SDK makes sure that as soon as the agent retrieves the list of IDs, your user sees them appear in real-time on the screen.

Stream live product data results directly into your UI with Vercel AI SDK.

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Connect Zakeke MCP to Vercel AI SDK

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

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Get Real-Time Product Availability

Need to show users what's available immediately? The `list_products` tool fetches all items ready for customization. It instantly gives your client the full catalog, letting them start building right away. The result streams directly into the UI through the Vercel AI SDK. Your user sees the list populate live—no loading spinner delay.

Check Custom Design Specifications

If a client needs to know exactly what they designed, the `get_design_details` tool pulls those specs instantly. You pass the design ID and get all relevant data back. This process works smoothly with the Vercel AI SDK, meaning your agent can fetch complex details and display them in real time as the user watches.

Retrieve Print-Ready Output Files

When the design is finalized, you need the physical files. Use `get_design_print_files` to grab a ZIP of print-ready outputs for that design. It’s the final step in the process. The Vercel AI SDK handles this beautifully. You call the tool and stream the resulting file metadata directly into your React component, giving immediate feedback.

Setup guide

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

The MCP Server connects to your agent via the Vercel AI SDK. You call `mcpClient.tools()` and pass the Zakeke tools for use. This setup allows your application to execute complex e-commerce logic directly.

You can call `get_order_details` to retrieve information for a specific order ID. The Vercel AI SDK ensures this data appears in your UI immediately, so users don't see stale or delayed information.

Absolutely. Just call `list_compositions`. The result streams right into your client-side code, letting you populate a dropdown or gallery with every available 3D product configuration.

This server handles custom product design details and order information. Specifically, it manages `design_details` and `order_details`. Treat this data like you treat any client's personal purchase history.

You execute the `list_designs` tool. The Vercel AI SDK makes sure that as soon as the agent retrieves the list of IDs, your user sees them appear in real-time on the screen.

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