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Checkout.com MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Checkout.com through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token — get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Checkout.com, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Checkout.com
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Checkout.com MCP Server

Connect your Checkout.com account to any AI agent and take full control of your global payment operations through natural conversation. Streamline how you manage transactions across 150+ currencies.

The Vercel AI SDK gives every Checkout.com tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Unified Payment Oversight — List and retrieve details for all payments processed through the Unified API natively
  • Mutable Operations — Refund, capture, or void payments directly through secure conversational commands flawlessly
  • Action Auditing — List all lifecycle actions for any specific payment to track its history securely
  • Connectivity Monitoring — List and review configured webhooks to ensure your integration is running flawlessly
  • System Metadata — Retrieve core account information and user settings directly within your workspace flawlessly
  • minor unit Handling — Work with precise financial amounts in minor units for high-accuracy transaction management

The Checkout.com MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Checkout.com to Vercel AI SDK via MCP

Follow these steps to integrate the Checkout.com MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 8 tools from Checkout.com and passes them to the LLM

Why Use Vercel AI SDK with the Checkout.com MCP Server

Vercel AI SDK provides unique advantages when paired with Checkout.com through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Checkout.com integration everywhere

03

Built-in streaming UI primitives let you display Checkout.com tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Checkout.com + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Checkout.com MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Checkout.com in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Checkout.com tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Checkout.com capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Checkout.com through natural language queries

Checkout.com MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect Checkout.com to Vercel AI SDK via MCP:

01

capture_checkout_payment

Capture an authorized payment

02

get_checkout_account_info

Retrieve core account and user information

03

get_payment_details

Get detailed information for a specific payment

04

list_checkout_payments

List recent payments

05

list_checkout_webhooks

List configured webhooks

06

list_payment_actions

List all lifecycle actions for a specific payment

07

refund_checkout_payment

Refund a captured payment

08

void_checkout_payment

Void an authorized payment

Example Prompts for Checkout.com in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Checkout.com immediately.

01

"Show me my last 5 payments in Checkout.com."

02

"What happened to payment ID 'pay_123456'?"

03

"Refund payment pay_789 for $10.50."

Troubleshooting Checkout.com MCP Server with Vercel AI SDK

Common issues when connecting Checkout.com to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Checkout.com + Vercel AI SDK FAQ

Common questions about integrating Checkout.com MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Checkout.com to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.