How to Use the Kibo Commerce MCP in Vercel AI SDK

Q: How do I check inventory for Kibo Commerce products using the Vercel AI SDK?

Your agent uses the getinventorystatus tool. Just pass a product ID, and the Vercel AI SDK will stream the stock count directly to your UI for a real-time display.

Q: Can I build a customer order history page with Kibo Commerce and the Vercel AI SDK?

Yes. Your AI client can use listorders to get a customer's order history. Then, use getorderdetails to let the user drill down into any specific order for tracking or item details.

Q: What's the best way to browse the Kibo Commerce catalog with the Vercel AI SDK?

Start with listcategories to get the main sections. From there, use listproducts to show items in a chosen category. Finally, getproductdetails will pull all the specifics for a product page.

Stream live inventory and order data from Kibo Commerce directly into your UI components with the Vercel AI SDK.

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Connect Kibo Commerce MCP to Vercel AI SDK

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

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Check Stock Levels in Real Time

Build frontends that show customers exactly what's in stock. Your agent can call `get_inventory_status` for a specific product and stream the count directly into a React component. No more stale data or page reloads. You can also pull a complete product list with `list_products` and then check inventory for each one. This lets you build a live-updating catalog page or an internal dashboard that shows stock across all your `list_locations`. It's fast enough for real-time user feedback.

Let Users Query Their Own Orders

Give your customers a conversational way to check their order status. Your AI client, powered by the Vercel AI SDK, can use `get_order_details` to pull up shipping info, item lists, and delivery estimates on command. The data streams directly into your UI, so the user sees the information appear as the agent finds it. Combine it with `list_orders` to let support staff quickly find and discuss recent purchases with a customer.

Build Dynamic Catalogs with this MCP Server

Stop hardcoding product data. Use `list_categories` to build your site navigation on the fly. Then, have your agent fetch product specifics with `get_product_details` as users browse. Your Next.js app can now react instantly to catalog changes in Kibo Commerce. Pair `get_product_details` with `get_site_settings` to display correct pricing and localized information without a redeploy. This MCP server handles the connection.

Setup guide

Set up Kibo 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 Kibo 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 Kibo 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 Kibo 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 Kibo Commerce MCP in Vercel AI SDK

Your agent uses the `get_inventory_status` tool. Just pass a product ID, and the Vercel AI SDK will stream the stock count directly to your UI for a real-time display.

Yes. Your AI client can use `list_orders` to get a customer's order history. Then, use `get_order_details` to let the user drill down into any specific order for tracking or item details.

Start with `list_categories` to get the main sections. From there, use `list_products` to show items in a chosen category. Finally, `get_product_details` will pull all the specifics for a product page.

This MCP server handles the auth and boilerplate. You just tell your agent what you need—like "get stock for product X"—and the tool call is made. The Vercel AI SDK makes it easy to stream the results directly into your frontend components.

The server accesses product, inventory, order, and customer data from your Kibo Commerce instance. Vinkius isolates each request in an ephemeral sandbox. Your endpoint token is the only key, and we never store your Kibo data.

Use it with your favorite AI tools

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