"AirPlay Audio" matching MCP servers:

MCP server for controlling Apple TV, HomePod, and AirPlay devices via pyatv, offering 32 tools for playback, navigation, volume, apps, and more.

Enables AI agents to discover, manage, and stream audio to LAN speakers supporting DLNA, AirPlay, and MiPlay, with playback of URLs, local files, and real-time PCM.

Enables voice or chat assistants to play Apple Music presets, library playlists, songs, and albums on a Mac and its AirPlay speakers, including speaker selection, playback control, and volume adjustment.

Enables remote control of audio playback and system volume on a Raspberry Pi via the Model Context Protocol (MCP).

Enables AI assistants to control Sonos audio devices over a local network using UPnP/SOAP protocols, supporting playback, volume, queue management, zone grouping, and music library browsing.

Enables AI assistants and MCP clients to inspect camera streams, probe video/audio codecs, capture live JPEG snapshots, generate playback URLs, discover camera integrations, and manage streams dynamically with strict credential redaction.

Enables MCP clients such as Codex to control real hardware—including SwitchBot presses, displays, cameras, audio and button events, and character voice/expressions—through configurable local or SSH-connected devices.

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 interaction with Brilliant Labs Halo and Frame AI glasses through MCP, covering BLE pairing, display control, photo capture, IMU and audio access, Lua script deployment, and Noa Miniapp queries.

Controls Lyngdorf Audio devices (TDAI, MP, CD series) via TCP with automatic device discovery, comprehensive audio controls including volume, source selection, RoomPerfect, and playback management with built-in safety features.

Enables AI assistants to read and control Philips Hue lights, rooms, zones, and scenes locally through the CLIP v2 API, including brightness, colors, color temperature, scene activation, and optional audio beat sync.

MCP server that wraps the Multiroom Audio Hub v2 REST API, providing 24 tools to control multiroom audio systems. Enables AI assistants to manage inputs, outputs, groups, routes, playback, and master mute.

Enables control of MentraOS smart glasses through tools for managing text displays, audio output, and input transcriptions. It integrates with Mentra Cloud to facilitate seamless interaction with smart glass hardware using natural language commands.

Enables natural language control of Loxone smart home systems, including lighting, audio, climate, and environmental monitoring, through MCP-compatible clients.

Enables AI agents to control Bluetooth audio devices via MCP tools, including battery status, connect/disconnect, find-my, and snoop decoding.

Enables MCP clients to drive a Stack-chan desk robot over the network, exposing tools for photos, audio recording, speech, head movement, LED control, and touch events.

Enables AI assistants to fetch live environmental telemetry, verify local Fire TV and smart-meter hardware over TCP sockets, calibrate display and audio settings, orchestrate smart-home scenes, calculate energy savings, and answer natural-language questions about its capabilities.

Enables playing audio from public playlist or media URLs on Sonos, Google Cast, and DLNA speakers in a home LAN, selecting rooms by name. Provides a queue that can be inspected, reordered, skipped, and stopped through natural-language requests from any MCP client.

Enables AI agents to control an ESP32-C3 audio client via MQTT for playing, pausing, and managing music from an HTTP library, with support for playlists and volume control.

Enables natural language control of Music Assistant home audio system, including playing music, controlling playback, adjusting volume, and managing queues, with intelligent player and provider resolution.

Exposes MCP tools that let an AI companion control Bluetooth adult toys: setting vibration intensity, running patterns, drawing or writing on a synced canvas so the toy follows the pen, speaking with audio-driven vibration, and listening to or replaying the user's reactions. It works across multiple toy brands via a phone-based Bluetooth relay and a browser remote panel.