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Afterpay MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Afterpay through 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 Afterpay, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Afterpay
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* 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 Afterpay MCP Server

Connect your Afterpay (Clearpay) merchant account to your AI agent to unlock enterprise-grade BNPL (Buy Now, Pay Later) orchestration. From creating secure checkout tokens to monitoring payment statuses and processing partial refunds, your agent handles your financial transactions through natural conversation.

The Vercel AI SDK gives every Afterpay tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through 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

  • Checkout Orchestration — Create new checkout sessions and retrieve secure redirect tokens for your customers
  • Payment Monitoring — List and audit historical payments, check capture statuses, and retrieve technical metadata
  • Refund Management — Initiate full or partial refunds for specific orders directly from your chat interface
  • Configuration Audit — Retrieve merchant-specific configuration including minimum and maximum order limits
  • Transaction Insights — Quickly identify successful captures or pending authorizations without manual dashboard exports

The Afterpay MCP Server exposes 5 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 Afterpay to Vercel AI SDK via MCP

Follow these steps to integrate the Afterpay 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 5 tools from Afterpay and passes them to the LLM

Why Use Vercel AI SDK with the Afterpay MCP Server

Vercel AI SDK provides unique advantages when paired with Afterpay 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 Afterpay integration everywhere

03

Built-in streaming UI primitives let you display Afterpay 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

Afterpay + Vercel AI SDK Use Cases

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

01

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

02

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

03

Chatbots with tool use: embed Afterpay capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Afterpay through natural language queries

Afterpay MCP Tools for Vercel AI SDK (5)

These 5 tools become available when you connect Afterpay to Vercel AI SDK via MCP:

01

create_checkout

The amount must fall within the configured limits. Initiate a secure Afterpay BNPL payment session token for a customer transaction

02

get_afterpay_config

Retrieve the minimum and maximum order transaction limits enforced by your Afterpay merchant account

03

get_payment_details

Retrieve detailed financial status, settlement info, and logs for a specific Afterpay order ID

04

list_payments

Retrieve historical BNPL transactions and authorizations securely from your Afterpay account

05

refund_payment

Always verify the remaining balance before refunding. Initiate a full or partial refund to immediately credit a consumer against a previously captured Afterpay order

Example Prompts for Afterpay in Vercel AI SDK

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

01

"Create an Afterpay checkout session for $100.00."

02

"Check the status of order ID '12345678'."

03

"Show me my current Afterpay order limits."

Troubleshooting Afterpay MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Afterpay + Vercel AI SDK FAQ

Common questions about integrating Afterpay 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 Afterpay to Vercel AI SDK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.