How to Use the Gelato MCP in Vercel AI SDK

Stream Gelato print-on-demand data directly into your Vercel AI SDK frontends for real-time UI updates.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Gelato MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Live product catalog browsing

Pipe `list_catalog_products` results straight into your React components. Your users see inventory changes as they happen without waiting on static fetch cycles. This MCP Server handles the connection logic while you focus on the UI state. You get raw product data ready for rendering the moment the agent processes the request.

Real-time shipping quote injection

Calculate costs on the fly using `get_shipping_quote`. When your user updates their cart, the AI client pulls the latest rates and displays them instantly. Stop forcing users to refresh pages for accurate pricing. These tools provide the exact numbers your frontend needs to show total order costs immediately.

Instant order status feedback

Use `get_order_status` to show fulfillment progress within your dashboard. Your AI client fetches the latest data and updates the user interface automatically. This keeps your customers informed without backend polling. Every state change from the Gelato API flows into your app's state machine.

Setup guide

Set up Gelato 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 Gelato 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 Gelato 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 Gelato. 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.

Connect Gelato now

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 Gelato MCP in Vercel AI SDK

Install the MCP client via npm and point it at the server URL. Use `createMCPClient` to expose the tools to your streamText function.

Yes. Since the tools return data directly to your agent, the Vercel AI SDK renders that output into your UI streams in real-time.

It does. The transport layer is built for low-latency communication, making it suitable for deployment on edge runtimes.

Keep your credentials on your server-side environment variables. Never expose your API keys in the client-side code bundles.

This server accesses your private print-on-demand order history and catalog metadata. We enforce strict transport-level encryption for every request.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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