How to Use the ApparelMagic MCP in Vercel AI SDK

Stream ApparelMagic data directly into your Vercel AI SDK interface. Real-time inventory and order updates for your users.

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Connect ApparelMagic MCP to Vercel AI SDK

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

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Live inventory streaming with AI SDK

Feed live stock counts from `list_inventory` straight into your React components. Your users see accurate availability the moment your agent grabs the data, skipping the dead air of a loading spinner. This setup connects your frontend to the raw source of truth. You get clean, typed data from `list_inventory` and `get_product` ready for immediate rendering in your UI.

Real-time order tracking in your app

Push shipping updates to your dashboard using `list_shipments`. The AI SDK handles the stream, letting you show tracking details or delivery status as soon as the agent pulls the record. Keep your customers informed without refreshing the page. You control how the agent presents `get_order` and `get_shipment` data to your users, ensuring the right info hits the screen exactly when it's needed.

Dynamic style management for developers

Build interfaces that let agents query `list_styles` and `list_products` on the fly. Your users interact with the catalog through natural language while your app handles the backend logic. This integration keeps your catalog interactive and responsive. Your agent retrieves product specs through `get_product` and updates the view instantly, making your garment management tool feel alive.

Setup guide

Set up ApparelMagic 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 ApparelMagic 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 ApparelMagic 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 ApparelMagic. 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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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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lower AI costs

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Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ApparelMagic MCP in Vercel AI SDK

You connect the MCP server using the Vercel AI SDK transport layer. Once linked, you pass the `list_inventory` tool to your model to pull real-time stock levels directly into your frontend state.

Yes. The server supports the HTTP transport required for edge execution. This keeps your inventory lookups fast and your infrastructure footprint lean.

The current toolset focuses on read operations. You can pull order details with `get_order` and list them with `list_orders` to display them in your application.

Vinkius manages all auth tokens centrally. Your client only interacts with the specific endpoints you allow, keeping your customer records isolated and secure.

You wrap your tool calls in standard TypeScript try-catch blocks. If a request to `list_products` fails, the SDK surfaces the error so you can provide immediate feedback to the user.

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