Command Palette

Search for a command to run...

UnylyUnyly
Browse all

AMC Server

FreeNot checked

Enables conversational AI assistants to help users discover movies, find showtimes, book seats, and process payments for AMC Theatres through a simple API inter

GitHubEmbed

About

Enables conversational AI assistants to help users discover movies, find showtimes, book seats, and process payments for AMC Theatres through a simple API interface.

README

Add to Cursor Add to VS Code Add to Claude Add to ChatGPT Add to Codex Add to Gemini

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_showtimesget_seat_mapbook_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! 🍿🎬

from github.com/fastmcp-me/amc-mcp

Installing AMC Server

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/fastmcp-me/amc-mcp

FAQ

Is AMC Server MCP free?

Yes, AMC Server MCP is free — one-click install via Unyly at no cost.

Does AMC Server need an API key?

No, AMC Server runs without API keys or environment variables.

Is AMC Server hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install AMC Server in Claude Desktop, Claude Code or Cursor?

Open AMC Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

Related MCPs

Compare AMC Server with

Not sure what to pick?

Find your stack in 60 seconds

Author?

Embed badge for your README

Browse similar

All ai MCPs