Movie Recommendation
Tracks movies you've watched and provides recommendations based on your preferences.
MediaSage
A Model Context Protocol (MCP) server that tracks movies, books, and TV shows, providing intelligent recommendations based on your preferences. Built with Bun, SQLite (via Drizzle ORM), and supports both local (stdio) and remote (HTTP/SSE) connections.
Features
- Multi-Media Tracking: Track movies, books, and TV shows with ratings, status, and notes
- Smart Filtering: List media by type, status, rating, genre, and more
- Cross-Media Recommendations: Get suggestions based on your preferences across all media types
- Rich Metadata: Automatic metadata fetching from OMDB (movies), Google Books (books), and TMDB (TV shows)
- Preference Analysis: Understand your favorite genres, creators, and what you typically enjoy
- Persistent Storage: SQLite database with Drizzle ORM and proper relations
- Remote Access: HTTP server with Server-Sent Events (SSE) support
- Secure: API key authentication for remote connections
Installation
# Clone the repository
git clone <your-repo-url>
cd mediasage
# Install dependencies
bun install
# Set up API keys (required for metadata enrichment)
cp .env.example .env
# Edit .env and add your API keys:
# - OMDB_API_KEY (required for movies): Get from http://www.omdbapi.com/apikey.aspx
# - TMDB_API_KEY (required for TV shows): Get from https://www.themoviedb.org/settings/api
# - GOOGLE_BOOKS_API_KEY (optional for books): Get from Google Cloud Console
# Run migration if you have existing movie data
bun run src/migrate-to-media.ts
Usage
Local Mode (stdio)
For use with Claude Desktop or other MCP clients:
# Development (with file watching)
bun run dev
# Production
bun run start
Remote Mode (HTTP/SSE)
For remote access over HTTP:
# Set environment variables
export API_KEY="your-secure-api-key"
export PORT=3000 # optional, defaults to 3000
# Development (with file watching)
bun run dev:http
# Production
bun run start:http
Available Tools
Movie Tools
search_and_add_movie
Search for a movie and add it with auto-populated metadata from OMDB.
Parameters:
title(required): Movie title to search foryear: Release year (helps accuracy)watched: Whether you've watched it (default: false)rating: Your rating (1-10) if watchednotes: Personal noteslikedAspects: What you liked (comma-separated)dislikedAspects: What you didn't likemood: When/why you watched itrecommendationContext: How this should influence recommendations
Book Tools
search_and_add_book
Search for a book and add it with auto-populated metadata from Google Books.
Parameters:
title(required): Book title to search forauthor: Author name (helps accuracy)read: Whether you've read it (default: false)rating: Your rating (1-10) if readnotes: Personal noteslikedAspects: What you liked (comma-separated)dislikedAspects: What you didn't likemood: When/why you read itrecommendationContext: How this should influence recommendations
TV Show Tools
search_and_add_tv_show
Search for a TV show and add it with auto-populated metadata from TMDB.
Parameters:
title(required): TV show title to search foryear: Year first aired (helps accuracy)watched: Whether you've watched it (default: false)rating: Your rating (1-10) if watchednotes: Personal noteslikedAspects: What you liked (comma-separated)dislikedAspects: What you didn't likemood: When/why you watched itrecommendationContext: How this should influence recommendations
General Tools
list_media
List all media with advanced filtering options.
Parameters:
type: Filter by media type ('movie', 'book', 'tv_show')watched_only: Show only watched/read itemswatchlist_only: Show only unwatched/unread itemsmin_rating: Minimum rating filter (1-10)genre: Filter by genrecreator: Filter by director/author/creatoryear: Filter by year
add_movie_to_watchlist
Add a movie to your watchlist (movies you want to watch).
Parameters:
title(required): Movie titleyear: Release yearnotes: Why you want to watch itrecommendationContext: Why it was recommended
get_smart_recommendations
Get intelligent recommendations based on your preferences across all media types.
Parameters:
mood: Current mood (e.g., 'action-packed', 'thoughtful')genre_preference: Specific genre interestlength_preference: Preferred length (short/medium/long/any)count: Number of recommendations (default: 5)
mark_as_watched
Mark a movie from your watchlist as watched and rate it.
Parameters:
id(required): Movie IDrating: Your rating (1-10)likedAspects: What you likeddislikedAspects: What you didn't likenotes: Your thoughts
analyze_preferences
Analyze your media preferences to understand your taste.
update_movie
Update an existing movie entry.
Parameters:
id(required): Movie IDrating: New rating (1-10)watched: Update watch statusnotes: Update noteslikedAspects: Update liked aspectsdislikedAspects: Update disliked aspectsmood: Update mood context
Configuration
Claude Desktop
Add to your Claude Desktop configuration:
{
"mcpServers": {
"mediasage": {
"command": "bun",
"args": ["run", "/path/to/mediasage/index.ts"]
}
}
}
Remote Client Configuration
Connect to the HTTP endpoint:
Endpoint: http://localhost:3000/mcp
Method: POST
Headers:
- Content-Type: text/event-stream
- Authorization: Bearer YOUR_API_KEY
Environment Variables
PORT: HTTP server port (default: 3000)API_KEY: Authentication key for remote access (required for HTTP mode)OMDB_API_KEY: API key for OMDB movie metadata (get free key at omdbapi.com)
Movie Metadata
The server automatically fetches movie metadata from OMDB API including:
- Directors, cast, genres, plot summaries
- IMDb ratings, Rotten Tomatoes scores
- Release dates, runtime, box office data
- Poster images and more
To enable metadata fetching, get a free API key from omdbapi.com and set:
export OMDB_API_KEY="your-api-key"
Workflow
- Add movies you've watched: Use
search_and_add_moviewithwatched: trueand your rating - Build your watchlist: Use
add_movie_to_watchlistfor movies you want to see - Rate and analyze: Use
mark_as_watchedwhen you watch something from your list - Get recommendations: Use
get_smart_recommendationsfor personalized suggestions - Understand your taste: Use
analyze_preferencesto see your movie patterns
Development
The project structure:
movie-rec-mcp/
├── index.ts # Main stdio server
├── src/
│ ├── http-server.ts # HTTP/SSE server
│ ├── sse-transport.ts # SSE transport implementation
│ └── db/
│ ├── index.ts # Database operations
│ └── schema.ts # Drizzle schema definitions
├── movies.db # SQLite database (auto-created)
└── package.json
Security Notes
- Change the default API key when deploying
- The HTTP server includes CORS headers for development
- Consider using HTTPS in production
- Database file is gitignored for privacy
License
MIT
Related Servers
Weather MCP Server
Provides real-time weather alerts and detailed forecasts for US locations using the National Weather Service API.
Bazi Calculation
A professional Bazi (Chinese astrology) calculation server providing full analysis including four pillars, five elements, zodiac, and lunar dates with timezone support.
ImageMagick
An MCP server for image conversion using ImageMagick and darktable.
Rami Levy
An MCP server for interacting with the Rami Levy online grocery store API.
MB's Personal MCP Server
A personal server for MB Crosier providing biography, contact information, and social links.
企业经营分析洞察服务
Provides in-depth analysis of enterprise operations, including business status, development, and market performance.
Gaggiuino MCP
An MCP server for the Gaggiuino open-source espresso machine, providing real-time local network access to machine status and shot data.
Map Traveler
A virtual travel environment for an avatar on Google Maps, utilizing various Google Maps and optional AI image generation APIs.
Overseerr
Interact with the Overseerr API to manage movie and TV show requests.
Simtheory
MCP client with model switching, assistants and agentic mode.