How to Use the Commerce Layer MCP in Vercel AI SDK

Q: How do I set up the Commerce Layer MCP Server with Vercel AI SDK?

Install ai and @ai-sdk/mcp. Initialize the client with createMCPClient using the Vinkius HTTP endpoint, pass the tools to streamText, and close the connection when done.

Stream Commerce Layer data directly into your React or Next.js frontend with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Commerce Layer MCP to Vercel AI SDK

Create your Vinkius account to connect Commerce Layer 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 Commerce Layer with Vercel AI SDK

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Pull Order History in Your Vercel AI SDK App

The `search_orders_by_email` tool pulls a customer's entire order history from Commerce Layer using just their email address. Your React frontend displays these orders as they stream in, bypassing the usual loading spinners. By combining this with `list_orders`, your AI client inspects recent transactions on the edge. You get immediate answers about shipment statuses without building custom API endpoints for every view.

Live Price Checks via Commerce Layer MCP Server

The `list_prices` tool fetches current price lists directly from your Commerce Layer catalog. Your agent compares these prices against current SKUs on the fly to catch pricing discrepancies. Using `list_skus` alongside this tool lets your Vercel AI SDK application render product details in real-time. This keeps your catalog data fresh without manual database queries.

Track Shipments and Order Statistics Instantly

The `list_shipments` tool retrieves shipping statuses and tracking details directly from Commerce Layer. Your agent parses this data to answer delivery questions instantly. Running `get_order_stats` alongside this tool gives your interface instant access to metrics like average order values. It runs inside Vinkius's secure MCP sandbox, meaning zero configuration overhead on your Next.js server.

Setup guide

Set up Commerce Layer 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 Commerce Layer 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 Commerce Layer 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 Commerce Layer. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Commerce Layer now

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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 Commerce Layer MCP in Vercel AI SDK

Install `ai` and `@ai-sdk/mcp`. Initialize the client with `createMCPClient` using the Vinkius HTTP endpoint, pass the tools to `streamText`, and close the connection when done.

Yes. The Vercel AI SDK streams tool calls directly, meaning your UI updates as the agent retrieves order details or SKU lists.

Vinkius manages the Commerce Layer API keys. Your SDK connects using a single secure Vinkius endpoint token, removing the need to store raw API credentials in your edge code.

You manage MCP tool access directly in your Vinkius dashboard. This ensures your front-end agent only invokes the specific read or list tools you permit.

Vinkius runs the server in an isolated V8 sandbox. Customer emails, shipment addresses, and order histories are processed ephemerally, ensuring no customer data is stored on Vinkius servers.

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