Build using AI
Integrate and operate Paddle using AI assistants, and bring Paddle data and actions into your agentic workflows.
Paddle provides everything you need to make AI assistants genuinely useful for building, integrating, and operating with Paddle. That includes connections to your account data, up-to-date documentation, and plain-text resources for any workflow.
MCP servers
Model Context Protocol (MCP) is an open standard that connects AI assistants, like Claude or Cursor, directly to external platforms and data sources. Paddle offers two MCP servers, each serving a different purpose.
Paddle MCP server
The Paddle MCP server connects AI assistants directly to your Paddle account. They can read data and take actions directly from a conversation, enabling complex workflows across Paddle and other platforms. The full Paddle API is exposed, so large language models (LLMs) can perform any action you can perform using the API.
This is useful for integrating Paddle, managing your business with natural language, debugging billing issues, running financial reports, and powering agentic workflows that need to interact with Paddle on your behalf.
Set up the Paddle MCP server →
Docs MCP server
The Paddle Docs MCP server gives AI assistants accurate, current knowledge of Paddle. It pulls from all published documentation, the full OpenAPI specification, and SDK references, so your assistant always has the right information on hand, rather than relying on potentially outdated training data.
We recommend installing it in every AI assistant you use to work with Paddle, regardless of where you are in your integration journey.
Ask AI docs assistant
You can ask questions and get help directly within the developer documentation. Click Ask AI in the top right corner of any page to open the assistant.
Two modes are available depending on what you need:
Fast
Best for quick questions on concepts, API behavior, and how Paddle works.
Thinking
Better for complex questions, detailed explanations, or working through a specific problem or integration challenge.
Plain-text docs
llms.txt
Paddle publishes a plain-text index of all available documentation as an /llms.txt file. AI clients can use this to get a clean, parseable map of what Paddle documentation exists and where to find it, without wading through rendered HTML which is much less token-efficient.