Seller Fees Calculator
Gumroad, Stripe, PayPal and Etsy seller fees, payouts and break-even prices. Local, no API key.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
seller-fees-mcpclaude mcp add seller-fees-calculator -- npx -y seller-fees-mcp@1.0.1
{
"mcpServers": {
"seller-fees-calculator": {
"command": "npx",
"args": [
"-y",
"seller-fees-mcp@1.0.1"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
seller-fees-mcp
A free Model Context Protocol (MCP) server that works out seller fees, payouts and break-even prices for Gumroad, Stripe, PayPal and Etsy (US sellers, USD). Everything runs locally: no API key, no account, no network calls.
Tools
| Tool | What it does |
|---|---|
fee | Fee and net for one sale. Gumroad direct includes the 2.9% + $0.30 card processing; options discover, high_volume, processing (card/none). PayPal type and international, Stripe extra_pct, Etsy qty, shipping, sales_tax_pct, offsite_ads. |
payout | What you keep per sale and in total for units sales. |
price_for_target | Lowest price that leaves at least target after fees. |
compare | One price across Gumroad direct, Gumroad Discover, Stripe, PayPal (checkout, card, goods) and Etsy, best net first. |
platforms | Default rates, options and official source pages. |
Default rates are as of Oct 20, 2026. Gumroad direct: 10% + $0.50 plus card processing 2.9% + $0.30 (5% + $0.50 with high_volume); Discover: 30% all-in. Stripe: 2.9% + $0.30. PayPal Checkout: 3.49% + $0.49. Etsy: $0.20 listing, 6.5% transaction, 3% + $0.25 processing. Check each platform's pricing page before relying on a number. Planning estimates only; not tax or accounting advice.
Install
Requires Node.js 18 or newer.
npx
npx -y seller-fees-mcp
From source
git clone https://github.com/NarwhalThePong/seller-fees-mcp.git && cd seller-fees-mcp && npm install && npm test
node src/server.js
Desktop MCP clients
Add to your client's MCP config file:
{
"mcpServers": {
"seller-fees": { "command": "npx", "args": ["-y", "seller-fees-mcp"] }
}
}
Cursor
Add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):
{
"mcpServers": {
"seller-fees": { "command": "npx", "args": ["-y", "seller-fees-mcp"] }
}
}
For a local checkout, use "command": "node", "args": ["/path/to/seller-fees-mcp/src/server.js"].
Example
fee with { "platform": "gumroad", "amount": 19 } returns a fee of $3.25 ($2.40 Gumroad + $0.85 card processing) and a net of $15.75.
Prefer a web page?
- Free Gumroad fee calculator: https://narwhalthepong.github.io/gumroad-license-check/gumroad-fee-calculator.html
- Free PayPal and Stripe fee calculator: https://narwhalthepong.github.io/gumroad-license-check/paypal-stripe-fee-calculator.html
- Free Etsy fee calculator: https://narwhalthepong.github.io/gumroad-license-check/etsy-fee-calculator.html
- Creator Payout Calculator Pro (browser extension, paid): https://paudrudis.gumroad.com/l/ijrzbz
Disclosure: these are our own products. The calculator pages are free; Creator Payout Calculator Pro is a paid product we sell.
License
MIT
Frequently asked questions
What is Seller Fees Calculator?
Gumroad, Stripe, PayPal and Etsy seller fees, payouts and break-even prices. Local, no API key.
How do I install Seller Fees Calculator?
It runs on your machine. In Claude Code: claude mcp add seller-fees-calculator -- npx -y seller-fees-mcp@1.0.1. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Seller Fees Calculator need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is Seller Fees Calculator open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Seller Fees Calculator?
It is published by NarwhalThePong. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.