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Paddle MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

main();
Paddle
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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 Paddle MCP Server

Bring the Paddle Billing API directly into your AI workflows. Acting as your Merchant of Record (MoR) interface, this integration allows your agent to seamlessly query customer billing states, manage SaaS subscriptions, retrieve invoice ledgers, and pause actively churning plans natively.

The Vercel AI SDK gives every Paddle tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Customers & Billing Details — List and search all CRM accounts managed by Paddle and extract their exact tax identification boundaries
  • Subscription Lifecycle — Inspect active or past-due subscriptions, cancel recurring flows dynamically, or pause an active schedule right from chat
  • Transactions & Ledgering — Fetch bulk atomic transactions matching exact one-off payments, prorations, and historical subscription renewals
  • Catalog Explorer — List your products and retrieve localized checkout prices and native tax-inclusive pricing definitions

The Paddle 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 Paddle to Vercel AI SDK via MCP

Follow these steps to integrate the Paddle 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 10 tools from Paddle and passes them to the LLM

Why Use Vercel AI SDK with the Paddle MCP Server

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

03

Built-in streaming UI primitives let you display Paddle 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

Paddle + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Paddle MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Paddle to Vercel AI SDK via MCP:

01

cancel_subscription

Can be set to effective immediately or at the end of the current billing period. Cancel an active subscription

02

get_customer_details

Get details for a specific customer

03

get_subscription_details

Get details for a specific subscription

04

get_transaction_details

Get details for a specific transaction

05

list_catalog_prices

List all pricing definitions

06

list_catalog_products

List all products

07

list_customers

List all customers in Paddle

08

list_subscriptions

List all subscriptions

09

list_transactions

List all billing transactions

10

pause_subscription

Pause an active subscription

Example Prompts for Paddle in Vercel AI SDK

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

01

"Find the subscription details for sub_01h9z2..."

02

"List our most recent revenue transactions on Paddle."

03

"Cancel subscription sub_active123 at the end of the billing cycle."

Troubleshooting Paddle MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Paddle + Vercel AI SDK FAQ

Common questions about integrating Paddle 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 Paddle to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.