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Interact with the Paddle API using AI assistants like Claude, or in AI-powered IDEs like Cursor. Manage product catalog, billing and subscriptions, and reports.

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PaddleHQ/paddle-mcp-server

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MCP Server for Paddle Billing

Paddle Billing is the developer-first merchant of record. We take care of payments, tax, subscriptions, and metrics with one unified API that does it all.

This is a Model Context Protocol (MCP) server that provides tools for interacting with the Paddle API.

Important: This MCP server works with Paddle Billing. It does not support Paddle Classic. To work with Paddle Classic, see: Paddle Classic API reference

Features

  • List products in your Paddle catalog
  • Create new products
  • List prices for products
  • Create new prices for products
  • List customers
  • List transactions
  • List subscriptions
  • Create custom reports for financial analysis

Installation

To use the MCP server, you'll need an API key. You can create and manage API keys in Paddle > Developer tools > Authentication:

To run the server in a client like Claude Desktop, Cursor or Windsurf, add the following to your MCP config:

{
  "mcpServers": {
    "paddle": {
      "command": "npx",
      "args": ["-y", "@paddle/paddle-mcp", "--api-key=PADDLE_API_KEY", "--environment=(sandbox|production)"]
    }
  }
}

Replace PADDLE_API_KEY with your API key, and pass the correct value as environment.

For detailed setup guides, see:

Development

  1. Install dependencies:

    pnpm install
  2. Build the server:

    pnpm build
  3. Update client to use the local build:

    {
      "mcpServers": {
        "paddle": {
          "command": "node",
          "args": ["path/to/paddle-mcp-server/build/index.js"],
          "env": {
            "PADDLE_API_KEY": "your_api_key",
            "PADDLE_ENVIRONMENT": "sandbox"
          }
        }
      }
    }

Debugging

To debug the MCP server, you can use the MCP Inspector tool:

  1. Run the server with the inspector:

    pnpm inspector
  2. Open the provided URL in your browser to view and debug the MCP requests and responses.

  3. Include the --api-key and --environment arguments.

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Interact with the Paddle API using AI assistants like Claude, or in AI-powered IDEs like Cursor. Manage product catalog, billing and subscriptions, and reports.

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