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Vinkius

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

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Paddle through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Paddle Agent",
    instructions:
      "You help users interact with Paddle " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Paddle?"
  );
  console.log(result.text);
}

main();
Paddle
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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Paddle tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Paddle MCP Server with Mastra AI.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 10 tools from Paddle via MCP

Why Use Mastra AI with the Paddle MCP Server

Mastra AI provides unique advantages when paired with Paddle through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Paddle without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Paddle tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Paddle + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Paddle, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Paddle as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Paddle on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Paddle tools alongside other MCP servers

Paddle MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Paddle to Mastra AI 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 Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Paddle + Mastra AI FAQ

Common questions about integrating Paddle MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Paddle to Mastra AI

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