amc-mcp

hi5d/amc-mcp

3.2

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The AMC MCP Server is a Model Context Protocol server designed to enhance the movie booking experience at AMC Theatres through conversational AI.

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AMC MCP Server 🎬

An Model Context Protocol (MCP) server that provides a comprehensive movie booking experience for AMC Theatres. This server enables conversational AI assistants to help users discover movies, find showtimes, book seats, and process payments through a simple API interface.

Features ✨

  • Movie Discovery: Browse currently showing movies and get personalized recommendations
  • Showtime Lookup: Find available showtimes by location, date, and movie
  • Seat Selection: View interactive seat maps and check availability
  • Booking Management: Reserve seats with real-time availability checking
  • Payment Processing: Handle mock payment transactions with confirmation receipts
  • Multi-location Support: Search across multiple AMC theater locations

Quick Start 🚀

Prerequisites

  • Python 3.8+
  • Docker (optional, for containerized deployment)

Installation

Option 1: Local Installation
  1. Clone the repository:
git clone <repository-url>
cd amc-mcp
  1. Install dependencies:
pip install -r requirements.txt
  1. Install the package:
pip install -e .
  1. Run the server:
python -m amc_mcp.fastmcp_server
Option 2: Docker Deployment
  1. Build and run with Docker Compose:
docker-compose up --build
  1. Or build and run manually:
docker build -t amc-mcp .
docker run -it amc-mcp

MCP Tools Reference 🛠️

1. get_now_showing

Returns a list of movies currently showing in a given location.

Input:

{
  "location": "Boston, MA"
}

Output:

{
  "location": "Boston, MA",
  "movies": [
    {
      "movie_id": "mv001",
      "title": "Dune: Part Two",
      "rating": "PG-13",
      "duration": 166,
      "genre": "Sci-Fi/Action",
      "description": "Paul Atreides unites with Chani..."
    }
  ]
}

2. get_recommendations

Suggests movies based on mood, genre, or preferences.

Input:

{
  "genre": "action",
  "mood": "exciting"
}

Output:

{
  "criteria": {"genre": "action", "mood": "exciting"},
  "recommendations": [...]
}

3. get_showtimes

Fetches available showtimes for a specific movie and location.

Input:

{
  "movie_id": "mv001",
  "date": "2025-10-28",
  "location": "Boston, MA"
}

Output:

{
  "movie": {"id": "mv001", "title": "Dune: Part Two"},
  "date": "2025-10-28",
  "location": "Boston, MA",
  "showtimes": [
    {
      "showtime_id": "st001",
      "theater_name": "AMC Boston Common 19",
      "theater_address": "175 Tremont Street",
      "time": "14:00",
      "format": "IMAX",
      "price": 18.50
    }
  ]
}

4. get_seat_map

Displays available and reserved seats for a specific showtime.

Input:

{
  "showtime_id": "st001"
}

Output:

{
  "showtime_id": "st001",
  "movie": "Dune: Part Two",
  "theater": "AMC Boston Common 19",
  "date": "2025-10-28",
  "time": "14:00",
  "seat_map": [
    {
      "seat_number": "A5",
      "row": "A",
      "column": 5,
      "is_available": true,
      "price_tier": "Standard",
      "price": 18.50
    }
  ]
}

5. book_seats

Reserves selected seats for the user.

Input:

{
  "showtime_id": "st001",
  "seats": ["A5", "A6"],
  "user_id": "user123"
}

Output:

{
  "booking_id": "booking-uuid",
  "status": "pending",
  "movie": "Dune: Part Two",
  "theater": "AMC Boston Common 19",
  "date": "2025-10-28",
  "time": "14:00",
  "seats": ["A5", "A6"],
  "total_price": 37.00
}

6. process_payment

Handles simulated payment transaction.

Input:

{
  "booking_id": "booking-uuid",
  "payment_method": "card",
  "amount": 37.00
}

Output:

{
  "payment_id": "payment-uuid",
  "payment_status": "success",
  "booking_id": "booking-uuid",
  "receipt_url": "https://amc.com/receipts/payment-uuid",
  "confirmation": {
    "movie": "Dune: Part Two",
    "theater": "AMC Boston Common 19",
    "date": "2025-10-28",
    "time": "14:00",
    "seats": ["A5", "A6"],
    "total_paid": 37.00
  }
}

Example Conversation Flow 💬

Here's how a typical movie booking conversation would work:

  1. User: "Find an action movie near me tonight."

    • Server calls: get_now_showing + get_recommendations
    • Returns: List of action movies with showtimes

  2. User: "Book two seats for Dune: Part Two at 8 PM."

    • Server calls: get_showtimes → get_seat_map → book_seats
    • Returns: Seat selection and booking confirmation

  3. User: "Pay with my card."

    • Server calls: process_payment
    • Returns: Payment confirmation with digital receipt

Architecture 🏗️

amc-mcp/
├── src/
│   └── amc_mcp/
│       ├── __init__.py
│       └── server.py          # Main MCP server implementation
├── data/
│   ├── movies.json           # Movie catalog
│   ├── theaters.json         # Theater locations
│   ├── showtimes.json        # Showtime schedules
│   └── seats.json           # Seat maps by showtime
├── config/
│   └── nginx.conf           # Web server configuration
├── Dockerfile               # Container configuration
├── docker-compose.yml       # Multi-service orchestration
├── requirements.txt         # Python dependencies
├── pyproject.toml          # Package configuration
└── README.md               # This file

Data Models 📊

Movie

{
  "movie_id": str,
  "title": str,
  "rating": str,         # PG, PG-13, R, etc.
  "duration": int,       # Minutes
  "genre": str,
  "description": str,
  "poster_url": str
}

Theater

{
  "theater_id": str,
  "name": str,
  "address": str,
  "city": str,
  "state": str,
  "zip_code": str
}

Showtime

{
  "showtime_id": str,
  "movie_id": str,
  "theater_id": str,
  "date": str,           # YYYY-MM-DD
  "time": str,           # HH:MM
  "format": str,         # Standard, IMAX, 3D, Dolby
  "price": float
}

Development 👨‍💻

Adding New Movies

Edit data/movies.json to add new movies:

{
  "movie_id": "mv011",
  "title": "New Movie Title",
  "rating": "PG-13",
  "duration": 120,
  "genre": "Action",
  "description": "Description of the movie...",
  "poster_url": "https://example.com/poster.jpg"
}

Adding New Theaters

Edit data/theaters.json:

{
  "theater_id": "th011",
  "name": "AMC New Location 15",
  "address": "123 Main Street",
  "city": "New City",
  "state": "NY",
  "zip_code": "12345"
}

Adding Showtimes

Edit data/showtimes.json and data/seats.json to add new showtimes and corresponding seat maps.

Testing

Manual Testing

You can test individual tools using the MCP inspector or by connecting to any MCP-compatible client.

Testing with Claude Desktop
  1. Configure Claude Desktop to connect to your MCP server
  2. Use natural language to test the booking flow
  3. Example: "Find me a sci-fi movie showing tonight in Boston"

Configuration ⚙️

Environment Variables

  • PYTHONPATH: Set to /app/src for proper module resolution
  • PYTHONUNBUFFERED: Set to 1 for real-time logging
  • MCP_LOG_LEVEL: Set logging level (DEBUG, INFO, WARNING, ERROR)

Docker Configuration

The server runs in a lightweight Python 3.11 container with:

  • Non-root user for security
  • Health checks for monitoring
  • Volume mounts for data persistence
  • Network isolation

Security Considerations 🔒

This is a mock implementation for demonstration purposes. In production:

  1. Payment Processing: Integrate with real payment gateways (Stripe, PayPal)
  2. Authentication: Add user authentication and authorization
  3. Data Validation: Implement comprehensive input validation
  4. Rate Limiting: Add API rate limiting
  5. Encryption: Use HTTPS and encrypt sensitive data
  6. Database: Replace JSON files with a real database
  7. Logging: Implement structured logging and monitoring

Future Enhancements 🔮

  • Real AMC API Integration: Connect to actual AMC Theatres API
  • User Accounts: Persistent user profiles and booking history
  • Group Bookings: Support for multiple users booking together
  • Loyalty Programs: AMC Stubs integration
  • Mobile Tickets: Generate QR codes for mobile entry
  • Seat Recommendations: AI-powered optimal seat suggestions
  • Price Alerts: Notify users of discounts and promotions
  • Social Features: Share movie plans with friends
  • Accessibility: ADA-compliant seat selection
  • Multi-language: International language support

Contributing 🤝

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/new-feature
  3. Make your changes and add tests
  4. Commit your changes: git commit -am 'Add new feature'
  5. Push to the branch: git push origin feature/new-feature
  6. Submit a pull request

License 📄

This project is licensed under the MIT License - see the LICENSE file for details.

Support 💬

For questions, issues, or feature requests:

  • Create an issue in the GitHub repository
  • Check the documentation for common solutions
  • Review the example conversation flows

Happy movie booking! 🍿🎬