"Better Stack" matching MCP servers:

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

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 for the Servarr stack — Sonarr, Radarr, Lidarr, Readarr, and Prowlarr — packaged as a Docker container. Lets an MCP client (Claude Desktop, etc.) browse and search whichever \*arr apps you're running.

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.

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

MCP server for managing a media server stack (Plex, Radarr, Overseerr, Bazarr, Prowlarr, Trakt.tv) using natural language to browse, request, and discover content.

Enables users to stream or download YouTube video information and direct links via the Ytstream API. It supports geographic optimization and language selection for better download speeds and audio availability.

Enables natural-language discovery and resolution of movies and TV shows into verified canonical media, then requesting them through an existing Seerr/Radarr/Sonarr stack. Exposes these capabilities via MCP tools and a REST API for AI agents.

MCP server that exposes recorded family stories as read-only tools, enabling Alexa+ to retrieve and deliver voice stories to children through natural language.

A unified MCP server for your self-hosted media stack (Radarr, Sonarr, Jellyfin, etc.). It correlates across services to answer questions no single service can, with safety features like untrusted-output fencing and safe-by-default deletions.

MCP server giving AI assistants full control of a Proxmox homelab, enabling management of VMs, containers, Docker projects, media stack, and monitoring via natural language.

MCP server that enables local LLMs to manage a home media stack including Radarr, Sonarr, Prowlarr, and others.

A Model Context Protocol server that exposes Sonarr, Radarr, Lidarr, and Jellyfin to any MCP client through a curated tool layer for LLM consumption.

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

A locally-run, read-only MCP server that lets an LLM client diagnose a self-hosted *arr media stack by aggregating across Sonarr, Radarr, Prowlarr, qBittorrent, Tdarr, and Profilarr.

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.

An MCP server that gives AI assistants control over your Sonarr, Radarr, Prowlarr, qBittorrent, and Jellyfin homelab media stack.

Provides 45 tools for monitoring and managing a Docker-based media stack, including Sonarr, Radarr, and other services.

A remote MCP server for managing your arr stack (Sonarr, Radarr, qBittorrent, Seerr) via Claude.ai on mobile, enabling you to fix bad downloads, block release groups, request new content, and check trending.

Enables YouTube video upload, metadata updates, thumbnail management, stats retrieval, and analytics via the YouTube Data API v3 and Analytics API using OAuth 2.0.