MCP Server for Paddle Billing

MCP Server for Paddle Billing avatar

by PaddleHQ

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.

What is MCP Server for Paddle Billing

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:

You can run the Paddle MCP server using npx with the following command:

npx -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.

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)"]
    }
  }
}

For detailed setup guides, see:

  • Claude Desktop
  • Cursor
  • Windsurf

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.

Learn more

  • Paddle developer docs
  • Paddle API reference
  • Sign up for Paddle Billing

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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