How to Use the Magento (Adobe Commerce) MCP in Vercel AI SDK

Q: How does Vercel AI SDK handle Magento (Adobe Commerce) customer search pagination?

Your agent uses mg.searchcustomers to scan your database. The Vercel AI SDK receives the paginated payload chunk by chunk. This lets your UI render the first few matches immediately while the rest of the list loads in the background.

Get real-time Magento store data directly inside your React components using the Vercel AI SDK.

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Connect Magento (Adobe Commerce) MCP to Vercel AI SDK

Create your Vinkius account to connect Magento (Adobe Commerce) 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 Magento (Adobe Commerce) with Vercel AI SDK

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Real-time stock checks with this Magento MCP Server

Your user is looking at a product page and wants to know if it's in stock. Instead of making them wait for a slow page refresh, your Next.js app queries the Magento backend using `mg.get_stock` instantly. The Vercel AI SDK streams this inventory status directly to the frontend, bypassing traditional API middleware. You don't need to write custom API routes for every SKU. The AI client handles the query and updates the UI in real-time. By using the `mg.get_product` tool, your agent pulls product details and displays them before the user can even think about bouncing.

Instant order tracking for your customers

Stop building complex dashboards just to show order statuses. This setup lets your AI client fetch order histories on the fly. It queries `mg.get_order` using the entity ID and lists previous purchases without breaking a sweat. The Vercel AI SDK handles the data stream on the Edge. It pushes the order details to the user's chat bubble as they appear. Users get their shipping updates instantly, and you save hours of custom frontend development.

Dynamic catalog browsing in the chat

Let users search your entire storefront using natural language. The AI agent translates their messy search queries into precise parameters. It then executes `mg.search_products` to pull matches directly into the UI. To keep the interface clean, the client can fetch the store layout via `mg.list_categories`. The Vercel AI SDK streams these category trees straight into your React or Next.js components, making discovery fast and interactive.

Setup guide

Set up Magento (Adobe Commerce) 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 Magento (Adobe Commerce) 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 Magento (Adobe Commerce) 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 Magento (Adobe Commerce). 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 Magento (Adobe Commerce) MCP in Vercel AI SDK

Install the package with npm install ai @ai-sdk/mcp. Use createMCPClient to connect to the Vinkius endpoint, then pass mcpClient.tools() to your streamText function. Don't forget to call mcpClient.close() when the session ends.

Yes, this setup is fully compatible with Edge runtimes. The HTTP transport ensures low latency when your agent calls mg.get_product or mg.get_stock. You get fast execution without the cold-start overhead of traditional serverless setups.

Your agent uses mg.search_customers to scan your database. The Vercel AI SDK receives the paginated payload chunk by chunk. This lets your UI render the first few matches immediately while the rest of the list loads in the background.

Vinkius manages the complex OAuth handshake for you. Your Vercel AI SDK setup only needs to point to the secure endpoint token we provide. The MCP client passes this token automatically, meaning you don't have to store raw store credentials in your frontend code.

This MCP Server only accesses the specific customer records you request via mg.get_customer. Vinkius processes all customer PII inside a secure, ephemeral V8 isolate sandbox. No customer names, email addresses, or purchase histories are ever stored on our servers.

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