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MCPizza - Domino's Pizza Ordering MCP Server

An MCP (Model Context Protocol) server that enables AI assistants to order pizza using the unofficial Domino's API.

🍕 Features

• Store Locator: Find nearest Domino's stores by address/zip code

• Menu Browsing: Search for pizzas, wings, sides, and more

• Order Management: Add items to cart and calculate totals

• Customer Info: Handle delivery addresses and contact information

• Safe Preview: Prepare orders without placing them (safety first!)

Related MCP server: MCPizza - Enhanced

🚀 Quick Demo

# See it in action with mock data
python mcpizza/demo_no_real_api.py

📦 Installation

See INSTALLATION.md for detailed setup instructions.

Quick start:

# Install uv package manager
curl -LsSf https://astral.sh/uv/install.sh | sh

# Setup environment
uv venv && source .venv/bin/activate
uv pip install pizzapi requests pydantic

# Run demo
python mcpizza/demo_no_real_api.py

🛠 Available MCP Tools

🎯 Usage Examples

# Find store
result = server.call_tool("find_dominos_store", {"address": "10001"})

# Search for pizza
result = server.call_tool("search_menu", {"query": "pepperoni pizza"})

# Add to order
result = server.call_tool("add_to_order", {
    "item_code": "M_PEPPERONI", 
    "quantity": 1
})

⚠️ Safety & Disclaimers

• Real order placement is DISABLED by default for safety

• Uses unofficial Domino's API for educational purposes only

• All order functionality works except final placement step

• Use responsibly and in accordance with Domino's terms of service

🔧 Integration

Ready to integrate with MCP clients! The server provides a complete pizza ordering workflow while maintaining safety through disabled order placement.

📝 Requirements

• Python 3.9+

• pizzapi package for Domino's API access

• Valid address for store lookup

• Internet connection for API calls

Built with ❤️ for the MCP ecosystem