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How to Use the Shoplazza MCP in Vercel AI SDK

See live e-commerce data streams in React, Next.js, and Svelte using the AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Shoplazza MCP on Cursor AI Code Editor MCP Client Shoplazza MCP on Claude Desktop App MCP Integration Shoplazza MCP on OpenAI Agents SDK MCP Compatible Shoplazza MCP on Visual Studio Code MCP Extension Client Shoplazza MCP on GitHub Copilot AI Agent MCP Integration Shoplazza MCP on Google Gemini AI MCP Integration Shoplazza MCP on Lovable AI Development MCP Client Shoplazza MCP on Mistral AI Agents MCP Compatible Shoplazza MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Shoplazza MCP to Vercel AI SDK

Create your Vinkius account to connect Shoplazza to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Real-Time Data Retrieval with MCP Server

When you call `list_shoplazza_products`, your UI receives product data as soon as Shoplazza sends it. This means no loading spinner waiting for the full list; you see items appear live, which is huge for a smooth user experience. This streaming capability applies to everything—from checking shop metadata with `get_shoplazza_shop` to listing all customers using `list_shoplazza_customers`. It lets your agent display complex lists of data points in real time.

Streaming Customer and Order Details

Need to show a user their order history instantly? Use the SDK to stream results from `get_shoplazza_order` or `list_shoplazza_orders`. Instead of waiting for one big JSON payload, your client displays each order record as it flows in. This is critical when building customer portals. Your agent can show a user's current account status by calling `get_shoplazza_customer`, and the data populates piece by piece on screen.

Handling Product Inventory Updates

If you need to update product availability, simply call `create_shoplazza_product` or `get_shoplazza_product`. The SDK streams the confirmation or the new details back immediately. This makes it easy for your agent to confirm inventory changes right in a conversation. It's perfect for building internal tools where an admin needs instant feedback after updating product listings using `list_shoplazza_products`.

Setup guide

Set up Shoplazza 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Shoplazza tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Shoplazza transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Shoplazza. 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.

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 Shoplazza MCP in Vercel AI SDK

You call the `check_shoplazza_status` tool. The SDK streams the result, giving you immediate confirmation if the API is up or down for your users.
Yes. You can trigger `create_shoplazza_product` and watch the result stream back to the UI. This confirms the product was created successfully almost instantly.
This server handles structured e-commerce data, including customer names and email addresses, order IDs, product SKUs, and shop metadata.
No. Because of streaming, even if we're listing thousands of `list_shoplazza_orders` records, your client sees them populate live rather than waiting through a single massive delay.
Absolutely. Since the data streams independently, you can call multiple getter functions (like `get_shoplazza_product` and `list_shoplazza_collections`) at once, and your UI will handle all the incoming data feeds.

Start using the Shoplazza MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for Shoplazza. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
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