AI Gourmet MCP Server

Backend server for AI Gourmet, utilizing the Message Context Protocol (MCP) via the FastMCP library to provide tools for managing menu browsing, cart operations, and order placement.

🌟 Features

• Menu Management:
  • Retrieve menu categories.
  • List items by category.
  • Get detailed information for a specific item.
  • Find items based on criteria like dietary preference, price, allergens, and category.
• Shopping Cart:
  • Create a new shopping cart session.
  • Add items to the cart.
  • Remove items from the cart.
  • View current cart contents and total.
• Order Processing:
  • Checkout a cart to create an order.
  • Get the status of a specific order.
  • List all placed orders.

⚙️ Tech Stack

• Python 3.x
• FastMCP library (for defining MCP tools and running the server)
• Standard Python libraries: json, uuid, datetime, os, typing

📋 Prerequisites

• Python 3.8+ (or your specific version)
• pip (Python package installer)
• Git

🚀 Getting Started

1. Clone the Repository

git clone [Your Repository URL Here e.g., https://github.com/yourusername/aigourmet-mcp-server.git]
cd aigourmet-mcp-server

### 2. Create and Activate a Virtual Environment (Recommended)

```shell
# For Linux/macOS
python3 -m venv venv
source venv/bin/activate

# For Windows
python -m venv venv
.\venv\Scripts\activate

3. Install Dependencies

requirements.txt:

pip install -r requirements.txt

👟 Running the Server

python3 mcp-server/src/server.py