How to Use the Checkout.com MCP in Vercel AI SDK

Q: Can Vercel AI SDK trigger Checkout.com refunds?

Yes. Expose the refundcheckoutpayment tool to your agent. The model will call it when the user requests a valid return.

Q: How do I list recent transactions in a chat UI?

Bind the listcheckoutpayments tool to your client. The AI will fetch the array and generate the text or UI components for the frontend.

Stream live Checkout.com transaction data directly into your Next.js frontend using the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Checkout.com MCP to Vercel AI SDK

Create your Vinkius account to connect Checkout.com 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 Checkout.com with Vercel AI SDK

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Stream payment details live

End users hate waiting for loading spinners when checking their transaction status. You can pipe the output of `get_payment_details` straight into your React components as the model receives it. The SDK handles the streaming HTTP transport natively. When a customer asks about a specific charge, your agent pulls the data and renders the UI in real-time.

Build interactive UIs in Vercel AI SDK

Customer support dashboards need immediate feedback. Connect your frontend to the `refund_checkout_payment` tool and let agents process returns directly from chat interfaces. You just pass the tools array into your streamText call. The agent decides when a refund is valid, triggers the MCP Server action, and updates the chat state without full page reloads.

Monitor account health instantly

Pulling webhook configurations or account balances usually means writing custom backend routes. Now your AI client calls `get_checkout_account_info` and formats the response for your Svelte or Vue templates. You initialize the connection with createMCPClient and close it when the session ends. It keeps your edge functions lean while giving your UI direct access to payment infrastructure.

Setup guide

Set up Checkout.com 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 Checkout.com 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 Checkout.com 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 Checkout.com. 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.

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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 Checkout.com MCP in Vercel AI SDK

Install the @ai-sdk/mcp package and use createMCPClient. Pass the resulting tools into your streamText call. Close the connection when the request finishes.

Yes. Expose the `refund_checkout_payment` tool to your agent. The model will call it when the user requests a valid return.

It does. You configure the authProvider in your client setup. This ensures the agent only sees payments belonging to the authenticated user.

Bind the `list_checkout_payments` tool to your client. The AI will fetch the array and generate the text or UI components for the frontend.

Vinkius isolates every session in an ephemeral V8 sandbox. Your raw transaction records and webhook URLs only exist in memory during the active request. Once the connection closes, everything vanishes.

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