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How to Use the Ecwid MCP in Vercel AI SDK

Build reactive e-commerce UIs with the Vercel AI SDK. Stream Ecwid product data and order statuses directly into your Next.js components.

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Vercel AI SDK

Connect Ecwid MCP to Vercel AI SDK

Create your Vinkius account to connect Ecwid 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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Live Product Search and Display

Hook your AI client to `search_products` and `get_product`. As the user interacts with your UI, results stream directly from your Ecwid catalog into your React components. No loading spinners, just instant data. This lets you build dynamic category pages or a search-as-you-type experience. Your agent fetches product IDs, names, and images, and the Vercel AI SDK renders them on the fly. It feels fast because it is.

Real-Time Order Status Portals

Give customers a real-time window into their orders. Use the `get_order` tool to fetch order details by ID. Your Vercel AI SDK-powered frontend can stream the fulfillment and payment status as it's updated in Ecwid. You can build a simple status page or a full customer dashboard. Your agent gets the data, and your UI just shows it. It's a much better experience than hitting refresh.

Your Ecwid MCP Server Dashboard

Build an internal dashboard that reflects your store's state second by second. Point your agent at `search_orders` to stream a live feed of incoming sales. Add a button that triggers `update_inventory` to adjust stock levels right from your app. Because the Vercel AI SDK streams tool results, your UI updates the moment the Ecwid API responds. You see the inventory count change instantly. This MCP Server gives your agent the access it needs.

Setup guide

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

Built-in savings

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

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place for every integration

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Common questions about Ecwid MCP in Vercel AI SDK

Pass the `search_products` tool to the `streamText` function. The AI SDK will automatically render the structured data from your Ecwid store as it arrives. You can map these results directly to your React components.
Yes. Your agent can call the `update_inventory` tool. The Vercel AI SDK handles the tool call through the MCP Server, and you can stream the confirmation back to your UI.
The underlying API call is the same, but the user experience is different. The Vercel AI SDK streams data as it's processed, so your UI can display partial results immediately instead of waiting for the full response.
You can build anything from live inventory dashboards and customer order portals to in-house tools for managing coupons with `list_coupons`. If you can design the UI, your agent can get the data.
This server only processes the data needed for a tool call, like `customer` and `order` details. Vinkius runs each MCP tool call in an ephemeral sandbox that is destroyed after execution. Your Ecwid data is never stored.

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