Checkout.com MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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();
* 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 payment workflows through natural conversation.
The Vercel AI SDK gives every Checkout.com tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Payments — Request, capture, void, and refund payments with support for various currencies and sources
- Vaulting (Instruments) — Securely create, list, update, and delete payment instruments (cards) in the Checkout.com Vault
- Payment Actions — Track every action taken on a payment to understand authorization successes and failures
- Analytics & History — Audit payment statuses and details directly from your workspace
The Checkout.com MCP Server exposes 10 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.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Checkout.com integration everywhere
Built-in streaming UI primitives let you display Checkout.com tool results progressively in React, Svelte, or Vue components
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.
AI-powered web apps: build dashboards that query Checkout.com in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Checkout.com tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Checkout.com capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Checkout.com through natural language queries
Checkout.com MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Checkout.com to Vercel AI SDK via MCP:
capture_payment
/captures` locking an authorized transaction converting it to native settled limits. Retrieve the exact structural matching verifying Capture processing
create_instrument
Provision a highly-available JSON Payload generating hard Customer bindings
delete_instrument
Irreversibly vaporize explicit validations extracting rich Churn flags
get_instrument
Identify precise active arrays spanning native Vault logic
get_payment_actions
Enumerate explicitly attached structured rules exporting Gateway state
get_payment_details
com nodes. Perform structural extraction of properties driving active Billing logic
refund_payment
/refunds` moving hard cash back exactly to the originating Visa/MC network. Dispatch an automated validation check routing explicit Clawback logic
request_payment
Identify bounded CRM records inside the Headless Checkout.com Gateway
update_instrument
Retrieve explicit Cloud logging tracing explicit Vault limits
void_payment
/voids` dropping limits before a capture closes cutting out heavy gateway fees. Inspect deep internal arrays mitigating specific Plan Math
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.
"Refund payment pay_123 for $50.00"
"Show me why payment pay_456 failed"
"Vault this instrument ID src_789 and update the holder name to 'John Doe'"
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.
createMCPClient is not a function
npm install @ai-sdk/mcpCheckout.com + Vercel AI SDK FAQ
Common questions about integrating Checkout.com MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Checkout.com with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Checkout.com to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.