Skip to main content

MCP server for ordering pizza through Domino's API

Project description

<<<<<<< HEAD

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!)

🚀 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

Tool Description
find_dominos_store Find nearest Domino's location
get_store_menu_categories Get menu categories
search_menu Search for specific menu items
add_to_order Add items to your pizza order
view_order View current order contents
set_customer_info Set delivery information
calculate_order_total Get order total with tax/fees
prepare_order Prepare order for placement (safe mode)

🎯 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iflow_mcp_grahammcbain_mcpizza-0.1.0.tar.gz (7.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file iflow_mcp_grahammcbain_mcpizza-0.1.0.tar.gz.

File metadata

  • Download URL: iflow_mcp_grahammcbain_mcpizza-0.1.0.tar.gz
  • Upload date:
  • Size: 7.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.26 {"installer":{"name":"uv","version":"0.9.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for iflow_mcp_grahammcbain_mcpizza-0.1.0.tar.gz
Algorithm Hash digest
SHA256 f88d97a6d1d4cedbb9d5490a5a161bf11eca8579d2c38081fc86f0addaa32901
MD5 666da1c868beefa5e8206d18347bcbe7
BLAKE2b-256 193967f849ee2a2330090e56bd04b42a51ee881596e9c17a11dacdb1e82d4a7b

See more details on using hashes here.

File details

Details for the file iflow_mcp_grahammcbain_mcpizza-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: iflow_mcp_grahammcbain_mcpizza-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 8.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.26 {"installer":{"name":"uv","version":"0.9.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for iflow_mcp_grahammcbain_mcpizza-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3393ddc15bdcd4f3ba89711f52e1d33c43d5abfb20130cd9cea87a36a757f681
MD5 91fd2be90b96d28a591b90da5800bc14
BLAKE2b-256 480ef06eee98502144a64de6f36df8031150c8640d2b076ad92c563573f0ae8c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page