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Gumroad MCP Server

Gumroad MCP Server

Local
github.com/rmarescuBusiness & Marketing31Updated 79w ago

About Gumroad MCP Server

Gumroad MCP Server is an MCP implementation of the Gumroad API that lets clients such as Claude Desktop query sales and manage products and offer codes. It targets creators who sell through Gumroad and offers an interactive setup command.

Key features

  1. 01Query sales data and authenticated user details
  2. 02Get, enable and disable products
  3. 03Create, update and delete offer codes
  4. 04Interactive configuration with init command
  5. 05Connect to self-hosted instances via base URL

Use cases

  1. 01Compare monthly sales against the same period last year
  2. 02Enable or disable a specific product
  3. 03Manage discount codes for a product

MCP support

This is an MCP server that exposes Gumroad product, sales, offer code and user tools to MCP-compatible clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"gumroad": {
"command": "npx",
"args": [
"-y",
"gumroad-mcp"
]
}
}
}
Run commandnpx -y gumroad-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmgumroad-mcp

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Gumroad MCP Server

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Overview

A Model Context Protocol (MCP) server implementation for Gumroad, enabling MCP-compatible AI clients like Claude Desktop to interact with Gumroad API.

The Model Context Protocol (MCP) allows AI assistants to interact with external tools and services.

Quickstart

Start using Gumroad MCP Server with Claude Desktop in seconds:

npx gumroad-mcp@latest init

This command sets up the MCP server with your Gumroad credentials through an interactive prompt.

Usage

Once configured, try these commands in your MCP-compatible client:

  • How many sales did I make last month vs a year ago?
  • Generate an interactive chart with last year's sales
  • List my top-selling products on Gumroad from last year
  • Show month-over-month trend of my top-selling product last year
  • Disable "Product Name" product
  • Enable "Product Name" product
  • List all offer codes for "Product Name"
  • Create a new offer code "FAFO" with 99% off for "Product Name"
  • Delete offer code "abc123" from "Product Name"

Tools

Products
  • gumroad_get_products - Get all products
  • gumroad_get_product - Get a single product by ID
  • gumroad_disable_product - Disable a product
  • gumroad_enable_product - Enable a product
Sales
  • gumroad_get_sales - Get sales data
Offer Codes
  • gumroad_get_offer_codes - Get all offer codes for a product
  • gumroad_get_offer_code - Get a single offer code
  • gumroad_create_offer_code - Create a new offer code
  • gumroad_update_offer_code - Update an existing offer code
  • gumroad_delete_offer_code - Delete an offer code
User
  • gumroad_get_user - Get authenticated user data

Installation

Installing via Smithery

To install gumroad-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @rmarescu/gumroad-mcp --client claude
Prerequisites
  • Node.js 18 or later
  • A Gumroad account with API access
  • An MCP-compatible client (like Claude Desktop)

To verify you have Node installed, open the command line on your computer.

  • On macOS, open the Terminal from your Applications folder
  • On Windows, press Windows + R, type "cmd", and press Enter

Once in the command line, verify you have Node installed by entering in the following command:

node --version
Generate a Gumroad access token

Gumroad API requires authentication. To generate an access token, follow these steps:

  1. Log in to your Gumroad account (or your own instance of Gumroad).
  2. Go to Settings > Advanced page.
  3. Create a new application by providing the following information:
    • Application icon (optional): A small thumbnail image to identify your application.
    • Application name: A name for your application.
    • Redirect URI: For personal use, you can enter http://127.0.0.1 (localhost) as this value is not meaningful in this context.
  4. Click "Create application."
  5. Use the "Generate access token" button to get your access token.

Keep your access token safe and confidential, like a password. You'll need to include it in your configuration as shown below.

Claude Desktop installation

If you use Claude Desktop, you can use the interactive setup:

npx gumroad-mcp@latest init
Manual installation

For other MCP-enabled applications, you will need to update the MCP configuration manually.

Example config

{
  "mcpServers": {
    "gumroad": {
      "command": "npx",
      "args": ["-y", "gumroad-mcp@latest"],
      "env": {
        "GUMROAD_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

If you're using a self-hosted Gumroad instance, you can configure the server to connect to your custom URL via GUMROAD_BASE_URL:

{
  "mcpServers": {
    "gumroad": {
      "command": "npx",
      "args": ["-y", "gumroad-mcp@latest"],
      "env": {
        "GUMROAD_ACCESS_TOKEN": "<YOUR_TOKEN>",
        "GUMROAD_BASE_URL": "https://example.com"
      }
    }
  }
}

Note

The server automatically appends the API version (/v2) to your base URL. For example, with GUMROAD_BASE_URL="https://example.com", API requests will be sent to https://example.com/v2.

Please refer to these instructions on how to add the MCP Server to Claude Desktop.

Contributing

Found a bug or want to suggest a feature? Please open an issue or submit a pull request on GitHub.

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.