Lemonade Stand MCP Server

🍋 Lemonade Stand MCP Server

A simple, working example of a Model Context Protocol (MCP) server that lets you play the classic Lemonade Stand game through Claude Desktop.

What is MCP?

Model Context Protocol (MCP) is an open standard that enables AI models like Claude to interact with external data sources and tools. This server demonstrates how MCP works by implementing the classic Lemonade Stand game as a set of tools that Claude can use.

Features

🌤️ Dynamic weather system affecting sales
💰 Business simulation with supply and demand
📊 Strategic pricing and inventory management
🏁 14-day game cycle with profit tracking
🎮 Fully playable through Claude Desktop

Prerequisites

Node.js (v20.11.1 or higher recommended)
Claude Desktop
npm (comes with Node.js)

Quick Start

Clone this repository:
git clone https://github.com/yourusername/Lemonade-Stand-MCP-Server.git cd Lemonade-Stand-MCP-Server
Install dependencies:
npm install
Find your Claude Desktop configuration file:
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json
Configure Claude Desktop:
{ "mcpServers": { "lemonade-stand": { "command": "node", "args": [ "/absolute/path/to/Lemonade-Stand-MCP-Server/server.js" ] } } }
Restart Claude Desktop
You should now see a hammer icon in Claude Desktop, indicating the MCP server is connected!

Playing the Game

Once the server is connected, simply start a new chat with Claude and say:

"Play a complete game of Lemonade Stand using the MCP tools available."

Claude will then:

Start a new game
Analyze the weather conditions
Make strategic decisions about supplies and pricing
Report daily results
Continue until Day 14 or your business fails

Game Mechanics

Weather System: Temperature and conditions affect customer traffic
Supply Chain: Buy cups, lemons, sugar, and ice at different prices
Price Strategy: Set your price per cup to balance profit and demand
Inventory Management: Ice melts daily; manage your supplies wisely
Customer Demand: Based on weather, price, and available inventory

Available Tools

The server exposes these MCP tools to Claude:

start_game: Begin a new game session
get_game_state: Check current status, money, inventory, and weather
buy_supplies: Purchase cups, lemons, sugar, and ice
set_price: Set the price per cup of lemonade
sell_lemonade: Open for business and see daily results
next_day: Advance to the next day

Configuration Examples

For WSL Users

{
  "mcpServers": {
    "lemonade-stand": {
      "command": "wsl.exe",
      "args": [
        "/home/username/.nvm/versions/node/v20.11.1/bin/node",
        "/home/username/projects/Lemonade-Stand-MCP-Server/server.js"
      ]
    }
  }
}

Using NPX

{
  "mcpServers": {
    "lemonade-stand": {
      "command": "npx",
      "args": [
        "/path/to/Lemonade-Stand-MCP-Server/server.js"
      ]
    }
  }
}

Troubleshooting

No hammer icon in Claude Desktop:
- Ensure Claude Desktop is up to date
- Check that the configuration file path is correct
- Verify Node.js is installed and accessible
- Check Claude Desktop logs in:
  - Windows: %APPDATA%\Claude\logs\
  - macOS: ~/Library/Logs/Claude/
Server connection error:
- Verify the server path in your configuration is absolute
- Test the server directly with node server.js
- Check for any errors in the Claude Desktop logs
WSL-specific issues:
- Ensure Node.js is installed in WSL
- Use the full path to the Node.js binary
- Check WSL is properly installed and running

Development

To modify the server:

Edit server.js to change game mechanics or add new tools
Test locally with node server.js
Restart Claude Desktop to load changes

Project Structure

Lemonade-Stand-MCP-Server/
├── server.js              # Main MCP server implementation
├── package.json           # Node.js dependencies
└── README.md             # This file

How It Works

This MCP server implements a simple game loop:

The server maintains game state in memory
Each tool represents a game action (buy, sell, etc.)
When Claude calls a tool, the server updates the game state
Results are returned to Claude as JSON
Claude analyzes the results and decides the next action

This demonstrates how MCP can be used to create interactive experiences where AI models can maintain state, make decisions, and interact with complex systems.

Contributing

Feel free to open issues or submit pull requests if you have ideas for improvements or find bugs.

License

MIT

Built as an example of the Model Context Protocol in action.

Lemonade Stand MCP Server