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Give AI assistants up-to-date Paddle knowledge

Connect AI assistants to all current Paddle content and resources using the Paddle Docs MCP server.

The Paddle Docs MCP server gives AI assistants full, current knowledge of Paddle to help you build, integrate, and troubleshoot without relying on outdated training data.

The Paddle Docs MCP server is subject to changes as an AI feature under development.

How it works

AI assistants are only as good as what they know. Without access to the latest documentation, they can give outdated advice, miss important details, or confidently suggest things that are no longer accurate.

Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external services to access real-time data and take actions. Think of it as a plugin that gives your AI assistant access to a specific source of knowledge or capability.

The Paddle Docs MCP server is that plugin for Paddle knowledge. You only need to install it once, and your AI assistant can search and reference up-to-date Paddle resources, like:

  • Paddle documentation

    All of the guides and references published at developer.paddle.com.

  • OpenAPI specification

    The full, current Paddle API specification, including all endpoints, parameters, response shapes, and webhooks.

  • SDK references

    Up-to-date reference material for all Paddle SDKs, including Go, Node.js, PHP, and Python.

This is useful whether you're integrating Paddle, debugging unexpected behavior, or just curious about what Paddle is and how it works. We recommend installing it in every AI assistant you use to avoid guesswork and always get accurate answers.

The Paddle Docs MCP server gives your AI assistant knowledge of Paddle. If you want your assistant to take actions in your Paddle account, like creating your catalog, listing customers, or managing subscriptions, you'll also want to set up the Paddle MCP server.

Install the MCP server

Setting up the Paddle Docs MCP server varies slightly depending on which AI client you're using.

The server runs remotely using Kapa.ai.

  1. Open Claude Desktop and go to Settings > Developer.

  2. Click Edit Config and open the claude_desktop_config.json file.

  3. Add the paddle-docs server configuration to the mcpServers object.

  4. Save the file and restart Claude Desktop.

Once installed, you may be prompted to authenticate with Kapa.ai. This authentication is necessary to check you're not a bot and to keep the service reliable and secure for everyone.

Authentication through Kapa.ai can happen more than once. Some AI clients automatically prompt, but others may require manual action. For example, Cursor requires you to check in Settings > MCP Tools and to click Authenticate if action is required.

Use the MCP server

Once installed, the Paddle Docs MCP server works quietly in the background. You can ask your AI assistant about Paddle and it'll search automatically when it needs to, with no additional configuration.

Most AI assistants show you when an MCP server is used. If you can't see this, ask your assistant to use up-to-date information from the Paddle documentation. This encourages it to search using the MCP server tool rather than rely on its training data.

Example prompts

Related pages

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