"Social Media Trend Analysis and Cultural Insights Platform" matching MCP servers:

Provides tools for AI clients to scan, match, and scrape TMDB metadata for local media files, with safe sidecar writing or full Jellyfin-style reorganization including file renaming and NFO generation.

A production-grade MCP server for downloading audio/videos from the internet, featuring dynamic tool selection, enterprise security, and an integrated graph agent.

MCP server for media stack management — movies/TV, audiobooks/ebooks, and music. Integrates with Jellyseerr, Radarr, Sonarr, Jellyfin, Prowlarr, qBittorrent, Audiobookshelf, and Navidrome.

Enables fetching YouTube transcripts, searching videos, and listing channel/playlist videos via the TranscriptFetch API.

Connects Home Assistant media players to Cursor, allowing automated control of playback (play/pause) based on agent activity for dopamine-driven development breaks.

Enables users to manage Sonarr and Radarr instances through natural language, allowing search, addition, deletion, and monitoring of TV series and movies.

An MCP server that enables AI agents to play and control YouTube and TikTok videos through a native mpv player window. It supports browsing subscriptions, searching content, managing playlists, and fetching video metadata using authenticated browser cookies.

Enables movie/series recommendations via TMDB API and personal tracking of watchlist, watched history, and episodes in local SQLite.

Enables control and management of a self-hosted media stack (Radarr, Sonarr, Prowlarr, SABnzbd, qBittorrent) through natural language via MCP.

Enables comprehensive YouTube data access including video details, playlists, channels, comments, search, and subtitle operations through the YouTube Media Downloader API.

Enables querying Rick and Morty characters, locations, and episodes using the Rick and Morty API with no authentication required.

A Model Context Protocol server that enables AI assistants to create images and videos using Amazon Nova Canvas and Nova Reel models.

A multimedia downloading and conversion MCP server supporting YouTube, HLS streams, podcasts, and images, with features like batch downloads, subtitle extraction, format query, and whitelist management.

Enables browsing and playing media files from a local Movies directory through natural language commands. Supports listing all movies and launching playback using the system's default media player.

Enables natural language control of self-hosted media services like Sonarr, Prowlarr, Overseerr, and Gotify through the Model Context Protocol.

Enables MCP-compatible agents to manage Tomo Streaming rooms and runtimes, including creating, inspecting, controlling, and deleting rooms, as well as checking health and listing stream servers.

Enables extraction of transcripts, keyword-based video search with metadata retrieval, and channel information discovery from YouTube videos through natural language interaction.

A comprehensive Model Context Protocol server that bridges LLMs with self-hosted media services, enabling natural language control of TV shows, movies, downloads, and notifications while maintaining traditional API access.

A Python-based Model Context Protocol server that allows AI assistants like Claude to access and query your movie and TV show collection via Radarr and Sonarr APIs.

An MCP server that enables AI assistants to manage your Radarr movies and Sonarr TV shows, including search, add, delete, monitor, and grab releases.