Paddle

The Paddle MCP server bridges the gap between AI assistants and the modern Paddle Billing platform, enabling developers to automate financial operations directly from conversational interfaces. By exposing a set of intuitive tools—such as listing products, creating new catalog items, and managing subscriptions—the server turns complex API calls into simple prompts that an assistant can understand and execute. This eliminates the need for developers to write boilerplate code or maintain separate integration scripts, allowing them to focus on higher‑level business logic.

At its core, the server provides a curated set of resources that mirror Paddle’s unified billing API. It can retrieve product catalogs, create new products and prices, list customers, transactions, and subscriptions, and even generate custom financial reports. Each tool is designed to translate a natural‑language request into the corresponding Paddle API call, returning structured data that can be fed back into the assistant’s context. This makes it possible to perform end‑to‑end billing workflows—such as onboarding a new customer, setting up recurring payments, or pulling revenue reports—all within a single conversation.

For developers building AI‑powered workflows, the server offers significant value. It eliminates repetitive CRUD operations on Paddle, reduces latency by handling authentication and request routing internally, and provides a consistent interface that works across multiple client platforms (Claude Desktop, Cursor, Windsurf). Because the MCP protocol handles context propagation automatically, an assistant can remember a customer’s ID from one step and use it in subsequent steps without explicit state management.

Typical real‑world scenarios include automated sales pipelines where a virtual assistant can add new products to the catalog based on market trends, or support bots that generate instant financial reports for stakeholders. In subscription‑based businesses, the server can help manage churn by offering assistants the ability to pause or cancel subscriptions on demand. Even compliance teams benefit, as custom reports can be generated and shared without manual export from the Paddle dashboard.

What sets this MCP server apart is its tight coupling with Paddle Billing’s modern API, which unifies payments, tax, and metrics in a single endpoint. This eliminates the fragmentation that existed with Paddle Classic and ensures developers work with the latest features, such as dynamic pricing tiers or advanced analytics. The server’s design prioritizes simplicity and reliability, making it a robust addition to any AI‑driven developer workflow.