How to Use the Kyte MCP in Vercel AI SDK

Q: How do I connect the Kyte MCP Server to the Vercel AI SDK?

Run npm install ai @ai-sdk/mcp and initialize with createMCPClient. Point the HTTP transport to your Vinkius endpoint.

Q: Can the Vercel AI SDK filter Kyte products by category?

Yes. You call listproductcategories to get the category IDs. The AI then uses those IDs to filter the main product list.

Q: Does the Vercel AI SDK support fetching specific Kyte orders?

You use getorderdetails for exact order lookups. Pass the specific order ID and the AI formats the delivery status for the user.

Build live retail dashboards by connecting Kyte to the Vercel AI SDK.

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Connect Kyte MCP to Vercel AI SDK

Create your Vinkius account to connect Kyte 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 Kyte with Vercel AI SDK

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Stream Live Store Status

The `get_kyte_store_status` and `get_inventory_status` tools feed live store availability directly into your application. You connect these endpoints to your React or Next.js frontend to bypass traditional API delays. When a shopper asks if you are open or wants exact stock counts, the AI client streams the answer immediately. They see the exact inventory numbers appear on their screen in real-time, skipping the usual loading spinners entirely.

Power Custom POS Interfaces with this MCP Server

Power your custom point-of-sale interface with this Kyte MCP Server by pulling catalog data through `list_kyte_products` and `list_kyte_orders`. Your Edge Functions grab the active product list and recent sales history in milliseconds. You build a dashboard where the end user sees their order history populate live. The AI reads the raw JSON from the server and formats it into a clean UI component instantly.

Handle Financial Inquiries

Let your application handle customer inquiries using `get_customer_profile` alongside `list_financial_transactions`. A user asks about their latest purchase, and the system pulls their exact order history and payment status. The Vercel AI SDK streams this financial data straight to your custom interface. You give your users immediate answers about their money without forcing them to navigate through five different account pages.

Setup guide

Set up Kyte 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 Kyte 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 Kyte 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 Kyte. 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.

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Common questions about Kyte MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp` and initialize with `createMCPClient`. Point the HTTP transport to your Vinkius endpoint.

Yes. You call `list_product_categories` to get the category IDs. The AI then uses those IDs to filter the main product list.

It runs as fast as the underlying POS API allows. The SDK streams chunks to the frontend the millisecond the server returns them.

You use `get_order_details` for exact order lookups. Pass the specific order ID and the AI formats the delivery status for the user.

We run every session inside a V8 Isolate Sandbox. Your customer profiles and financial transactions exist only in memory during the request. The environment self-destructs the moment the connection closes.

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