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Lemonsqueezy MCP Server

by IntrepidServicesLLCversion 1.0.3i★ –iRuns on your computer
Registry nameio.github.IntrepidServicesLLC/lemonsqueezy-mcp-server

Install

Overview

Description from the maker (original English)

Lemon Squeezy SDK as MCP server. Give your AI assistant access to payment and subscription data.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Online shops & payments
  • You need to fill in: LEMONSQUEEZY_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: LEMONSQUEEZY_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "lemonsqueezy": {
      "command": "npx",
      "args": [
        "-y",
        "lemonsqueezy-mcp-server"
      ],
      "env": {
        "LEMONSQUEEZY_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add lemonsqueezy --env LEMONSQUEEZY_API_KEY=your-value -- npx -y lemonsqueezy-mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "lemonsqueezy": {
      "command": "npx",
      "args": [
        "-y",
        "lemonsqueezy-mcp-server"
      ],
      "env": {
        "LEMONSQUEEZY_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "lemonsqueezy": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "lemonsqueezy-mcp-server"
      ],
      "env": {
        "LEMONSQUEEZY_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • LEMONSQUEEZY_API_KEY secret required env
    Your Lemon Squeezy API key (required). Get it from Settings → API in the Lemon Squeezy dashboard.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account IntrepidServicesLLC, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Online shops & paymentsi

  • More stars than 0% of the other 2535 servers in this category
  • Published to the registry more recently than 1% of the other 2535 servers in this category
  • Basic checks equal to or better than 100% of the other 2535 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Lemonsqueezy MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: LEMONSQUEEZY_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.3) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spree Commerce: open-source B2B and marketplace ecommerce, Stripe MCP, MCP Cn Commerce

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Stripe MCP

by stripe

Stripe’s official server lets AI view and manage customers, products, payments and invoices. Connect to Stripe’s cloud and sign in with OAuth.

Runs in the cloud★ 2,043MITUpdated 12 months ago
Install

MCP Cn Commerce

by TonyWang-hub

8 read-only MCP platform entries; support is operation-specific; merchant live acceptance pending

Runs on your computer★ 96MITUpdated 28 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Lemon Squeezy MCP Server

📖 About

Give your AI assistant direct access to your payment and subscription data.

This server acts as a bridge between your AI assistant (like VS Code, Claude Desktop, or any MCP-compatible client) and your Lemon Squeezy account. Instead of manually logging into dashboards, searching for orders, and copy-pasting details, you can simply ask your AI questions like:

  • *"What was the last sale?"*
  • *"Is subscription #12345 still active?"*
  • *"Find all customers named 'Alice'"*

Your AI will query the data securely and give you an instant answer, right in your code editor.


🌱 Beginner Level: Getting Started

Who is this for? You are new to CLI tools or just want to get this running quickly with minimal fuss.

1. Prerequisites

Before you start, make sure you have these two things installed on your computer:

  • Node.js (Version 18 or higher): This is the software that runs the server. Download Node.js here.
  • A Lemon Squeezy Account: You need an account to get the data. Sign up here.
2. Get Your API Key

Think of this as your password for the server.

  1. Log in to your Lemon Squeezy Dashboard.
  2. Go to Settings -> API.
  3. Click Create API Key.
  4. Copy the key (it starts with ls_...). Keep this safe!
3. Quick Installation

Open your terminal (Command Prompt on Windows, Terminal on Mac) and run these commands one by one:

# 1. Download the project

git clone https://github.com/IntrepidServicesLLC/lemonsqueezy-mcp-server.git cd lemonsqueezy-mcp-server

2. Install the necessary files

npm install

3. Build the server

npm run build

4. Connect to Your AI Editor

The exact steps depend on which AI editor you're using. Here are the most common:

One-copy-paste setup (Claude Desktop / Cursor / npx): Add this to your MCP config file (e.g. claude_desktop_config.json or Cursor MCP settings). Replace YOUR_KEY_HERE with your Lemon Squeezy API key.

"mcpServers": {

"lemonsqueezy": { "command": "npx", "args": ["-y", "lemonsqueezy-mcp-server"], "env": { "LEMONSQUEEZY_API_KEY": "YOUR_KEY_HERE" } } }

*(Requires the package to be published on npm. For local development, use the path-based config below.)*

For VS Code (local path):

  1. Open VS Code Settings
  2. Go to Extensions → MCP
  3. Add a new MCP server with:
  • Command: node
  • Args: ["/absolute/path/to/lemonsqueezy-mcp-server/dist/index.js"]
  • Env: {"LEMONSQUEEZY_API_KEY": "your_api_key_here"}

For Claude Desktop (local path):

  1. Edit ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
  2. Add the same configuration as above (command node, args with full path to dist/index.js)
  3. Restart Claude Desktop

For Other MCP Clients: Refer to your client's documentation for adding MCP servers. The server runs via node /path/to/dist/index.js with the LEMONSQUEEZY_API_KEY environment variable set.

After configuring, restart your AI editor and try asking: *"Show me my last 5 orders."*

Trusted local and guarded access

The dist/index.js stdio setup above is for a trusted local merchant operator. It exposes the full legacy catalog, including tools that can change Lemon Squeezy data. Do not use that entry point as a customer-facing or delegated agent connector.

For delegated, read-only access, a trusted host must create the separate guarded server with createGuardedServer(provider, expectedEnvironment). The host supplies and verifies a scoped grant outside MCP tool arguments. The guarded server exposes only get_billing_summary and get_subscription_status when the grant permits them. See guarded connector setup, the exact tool catalog, and support and security reporting.

For self-hosted remote callers, use the separate authenticated Streamable HTTP entry point and the remote guarded setup and runnable example. The example includes an offline MCP client smoke test and an optional local check with your own Lemon Squeezy test-mode key. Its fixture is not a hosted identity or grant service.


🚀 Medium User Level: Basic Usage & Configuration

Who is this for? You are comfortable with config files, environment variables, and want to customize how the server works.

Philosophy: "Sensible Defaults"

This server is designed to work out of the box with just one required setting: your LEMONSQUEEZY_API_KEY. Everything else is optional and has pre-configured defaults that work for 90% of users.

Configuration Options

You can configure the server using Environment Variables in your MCP settings or a .env file.

VariableDescriptionDefault
LEMONSQUEEZY_API_KEYRequired. Your live API key.-
LEMONSQUEEZY_TEST_API_KEYOptional. Use for testing without affecting real data.-
ENABLE_RESOURCESSet to true to let the AI see "active context" like failed payments automatically.false
POLL_FAILED_PAYMENTSSet to true to check for failed payments every few minutes.false
Common Tasks

1. Using Test Mode If you want to develop without touching real money, generate a "Test API Key" in Lemon Squeezy and use LEMONSQUEEZY_TEST_API_KEY. The server will automatically prioritize the live key if both are present, so remove the live key to force test mode.

2. Enabling Salesforce Integration (Bonus) Want to sync customers to your CRM? Add these variables:

  • SALESFORCE_USERNAME
  • SALESFORCE_PASSWORD
  • SALESFORCE_TOKEN (Security Token)

The tools for Salesforce (like sync_customer_to_crm) will automatically appear in your AI's toolkit.

Troubleshooting
  • "Command not found": Ensure you ran npm run build after installing.
  • "Authentication Error": Double-check your API key. Did you copy an extra space?
  • Logs: The server outputs logs to the "MCP Log" window in your editor. Check there for specific error messages.

🛠️ Advanced User Level: Technical Documentation

Who is this for? Developers, Architects, and DevOps engineers looking for deep technical details, architecture diagrams, security compliance, and deployment strategies.

Containers: This repo has both a Containerfile and a Dockerfile with the same build. The Dockerfile exists so registries (e.g. Smithery) and CI that look for the filename Dockerfile can discover and build the image. You can build with Podman or Docker; see [CONTAINERS.md](./CONTAINERS.md) for why both exist and how to build.

For a comprehensive breakdown of the system architecture, code modules, security protocols, and enterprise deployment guides, please refer to the:

👉 [Technical Solution Design Document (TSD)](./TECHNICAL_SOLUTION_DESIGN.md)

The TSD covers:

  • System Architecture & Diagrams
  • Module Interflows & Data Paths
  • Security & Compliance (AWS Secrets Manager, etc.)
  • Deployment (Docker/OCI Containers)
  • Risk Mitigation Strategies
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