iflow-mcp_grahammcbain_mcpizza

<<<<<<< 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 ```bash # See it in action with mock data python mcpizza/demo_no_real_api.py ``` ## 📦 Installation See [INSTALLATION.md](INSTALLATION.md) for detailed setup instructions. Quick start: ```bash # 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 ```python # 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…