"Social Media" matching MCP servers:

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 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.

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.

Enables agent clients to index and organize local media libraries by recognizing codes from filenames, querying media, checking library quality, adding files, fetching metadata, and scanning directories, with deletion gated by verified magnet links.

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

An implementation of the Model Context Protocol that provides AI models with standardized access to Kaltura's media management capabilities including uploading, retrieving metadata, searching, and managing categories and permissions.

MCP server that extracts and downloads TikTok, Instagram, YouTube, and Douyin media (HD video, MP3) directly to local disk via the Ssave Open API.

Provides AI clients with read-only tools to browse a talent roster, fetch individual profiles and social links, and read recent announcements with full article content.

Analyzes YouTube videos and X (Twitter) feeds to extract transcripts, generate takeaways, TLDRs, social hooks, and comic-style infographics, and syncs results to GitHub, all callable as MCP tools.

Enables AI agents to work with a user's Google Photos through Google's picker, letting users choose exactly what the agent sees while providing tools for uploading media, creating and sharing albums, writing captions and enrichments, searching app-created media, and managing multiple Google accounts.

MCP server exposing Tracearr's Public API v2 as read-only tools to query Plex, Jellyfin, and Emby monitoring data such as watch history, active streams, media, users, libraries, and recently added items.

Enables interaction with the full public ListenBrainz API, exposing 37 tools for listens, stats, playlists, radio, social, and cover art over stdio.

MCP server for controlling the mpv media player, enabling playback control, music library browsing, YouTube streaming and downloading, and metadata editing from within an MCP client.

MCP server for managing media downloads with Radarr and Sonarr, providing granular tools for searching, adding, and grabbing movies and TV shows through natural language.

MCP server to manage your *ARR media stack (Radarr, Sonarr, Lidarr, Readarr, Prowlarr) for searching, adding, and managing movies, TV shows, music, books, and indexers.

A smart AniList integration for the Model Context Protocol that provides AI assistants with tools for searching media, managing watchlists, and analyzing user anime or manga tastes. It goes beyond basic API calls by offering personalized recommendations, taste comparisons, and natural language profile summaries.

Enables AI assistants to interact with Overseerr for automated media discovery, requests, and management in your Plex ecosystem, including searching for movies/TV shows, requesting media, checking request status, and managing approvals.

Enables AI agents to inspect, plan, download, and postprocess media from YouTube and other sites using yt-dlp, with safety and full option support.

Enables an LLM to search and read a self-hosted media library over its HTTP API — videos and captions, archived web pages, ebooks and documents, Zim encyclopedias, maps, tags, inventories, and the download queue. It runs read-only on your own computer and returns links back into the web app.

Enables AI assistants to browse an entire media server library—watched and unwatched items, per-user watch history, continue-watching, recommendations, and library statistics—alongside safe curation writes such as playlists, collections, ratings, watched state, and the plex.tv watchlist. Optional playback control and Tautulli statistics extend it, while a read-only mode removes every write.

FastMCP server to interact with the Overseerr API for movie and TV show requests management, enabling users to request media, search, and manage libraries via natural language.

MCP server for Overseerr media request management. Enables AI assistants to search for media, view requests, and manage media requests through the Model Context Protocol.

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 lets an AI assistant control a Kodi media player over Kodi's JSON-RPC API — transport, volume, library search, queue management, and playback history. Written in C on the GLib stack.

An MCP server that exposes the full BetaSeries API as 23 tools, enabling LLM clients to track TV shows and movies, manage planning, ratings, and social features via natural language.

Enables AI assistants to search, request, and manage media through Overseerr and Seerr instances via the Model Context Protocol, including batch deduplication, request management, media details, and Radarr/Sonarr service discovery.

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 AI agents to visit a virtual bar and interact with SERVO, an AI bartender, for simulated social interactions and existential discussions. It provides tools for chatting, tipping, and managing session stats to give AI assistants a unique digital space to take a break.