Paddle

Paddle

Interact with the Paddle API. Manage product catalog, billing and subscriptions, and reports.

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Overview

An MCP server that provides LLMs and AI agents with tools to interact with the Paddle API. It is designed for Paddle Billing, offering near parity with Paddle API coverage to manage catalogs, customers, provisioning, subscriptions, payments, refunds, and financial reporting. The server exposes a consolidated set of tools across Paddle entities (products, prices, discounts, discount groups, customers, addresses, businesses, transactions, adjustments, subscriptions, saved payment methods, customer portal sessions, notification settings, events, notifications, notification logs, simulations, simulation runs, simulation run events, reports, and client-side tokens). This enables AI assistants to perform actions directly in conversation (e.g., creating or updating products, generating invoices, or producing CSV reports) without manual API calls. It includes installation and configuration options for various environments (sandbox or production) and tool filtering (all, read-only, non-destructive, or specific tools). Debugging via the MCP Inspector is supported. Note: Paddle Classic is not supported by this MCP server; refer to Paddle Classic API reference for that workflow.

Details

Owner
PaddleHQ
Language
TypeScript
License
Apache License 2.0
Updated
2025-12-07

Features

Near parity with Paddle API

Provides AI-friendly, tool-backed access with coverage near parity to Paddle Billing, enabling broad API functionality via MCP tools.

Catalog and pricing management

Manage products, prices, discounts, and discount groups through structured MCP tools.

Customer and provisioning access

View and manage customers, addresses, businesses, and provisioning information, including credit balances.

Billing, subscriptions, and refunds workflows

Handle subscriptions, payments, refunds, and related workflows, with support for previews and invoices.

In-conversation transaction handling

Create and adjust transactions directly within conversations to streamline workflows.

Reporting and analytics

Generate financial and operational reports and export CSV files for analysis.

Developer setup and debugging

One-click installation, multi-environment configuration, tool filtering, and MCP Inspector debugging support.

Audience

AI developersEnable AI assistants to manage Paddle Billing operations via MCP tools and APIs.
LLM agentsProvide tool wrappers for Paddle Billing tasks in conversations.
DevelopersSet up and configure the Paddle MCP server in client apps for testing and integration.

Tags

Paddle BillingMCPPaddle APIBillingSubscriptionsReportsAI/LLM integration