MCP Servers for Entertainment & Media

Enables AI video and image generation through the Runway API. Supports video generation from images and text prompts, image creation, video upscaling and editing, and task management.

Control any smart TV with natural language — play Netflix/YouTube/Spotify by name, cast URLs, scene presets, multi-room audio, and multi-TV sync. Supports LG, Samsung, Android TV, Roku.

Enables searching and downloading subtitles from OpenSubtitles.com through their API. Supports comprehensive search by movie title, IMDB/TMDB ID, file hash, and TV show episodes with multiple subtitle formats (SRT, ASS, VTT).

A Python MCP server that wraps the Gelbooru API. Connect it to any MCP-compatible client (Claude Desktop, Cursor, etc.) to search posts, look up tags, and generate Stable Diffusion prompts from real character appearance data — all directly from your AI assistant.

This server retrieves transcripts for given YouTube video URLs, enabling integration with Goose CLI or Goose Desktop for transcript extraction and processing.

An MCP server (stdio + HTTP/SSE) that fetches video transcripts/subtitles via yt-dlp, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion. Whisper fallback — transcribes audio when subtitles are unavailable (local or OpenAI API). Works with Cursor and other MCP host

Provides access to The Movie Database (TMDB) API, enabling users to search for movies, TV shows, and people, get detailed information, discover content with advanced filters, and retrieve recommendations.

Integrates ThePornDB API into MCP-compatible applications to search for adult video scenes, movies, and JAV content. It enables users to retrieve detailed performer profiles and comprehensive content metadata through specialized tools for LLM applications.

An MCP server that enables discovery and analysis of trending YouTube Shorts using natural language. It provides tools to track viral metrics like Views Per Hour (VPH), identify niche trends, and summarize video content through the YouTube Data API.