"Information about MCP Discovery" matching MCP servers:

Enables controlling a Dirtywave M8 over USB by reading its screen as text, pressing buttons, playing notes, and retrieving system information through MCP tools.

Enables inspecting a live FL Studio project and adjusting exposed plugin parameters through natural-language requests handled by Codex. Provides track and plugin discovery, paginated parameter inspection, guarded normalized parameter writes with readback, and undo of bridge changes.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

Enables MCP clients to control Onkyo AV receivers over the network via eISCP, including receiver discovery, power, volume, and mute for the main zone.

An MCP server that enables AI assistants to search, analyze, and retrieve information about audio samples from Freesound.org through their API.

A powerful MCP tool for parsing and manipulating MIDI files that allows users to read, analyze, and modify MIDI files through natural language commands, supporting operations like reading file information, modifying tracks, adding notes, and setting tempo.

An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.

Enables searching and downloading audio samples from Freesound using keywords, filters, and sound IDs. It provides detailed sound metadata including duration, license information, and preview URLs.

A Model Context Protocol server that integrates with VOICEVOX engine to provide text-to-speech synthesis and speaker information retrieval, allowing users to generate and play voice audio from text.

Enables AI agents to generate video ads, UGC ads, static image ads, voiceovers, and faceless videos, with tools for quoting, model discovery, asset upload, and run status checks.

Enables AI agents to enroll and verify voice samples against known identities, providing honest confidence signals about voice authenticity.

Connects AI agents and MCP clients to Deepgram through a single PipMCP API key, enabling hosted tool discovery, policy-governed execution, and workflows such as inspecting projects and requesting URL transcriptions.

Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.

Enables MCP clients to connect to a running MAGDA instance over stdio and access its native composition tools, resources, and resource templates, while providing instance discovery, fixed-instance connection, credential recovery, diagnostics, and compatibility checks.

Enables local inspection of Apple MainStage state and patch/set information, plus MIDI control such as program changes, CC, and metronome toggle via MCP.

Gives coding agents the ability to hear and reason about audio by describing sounds, matching them to text, locating key moments, detecting realness, generating timelines, and critiquing soundtracks. It also lets agents synthesize and iteratively improve their own sounds in code.

Connects AI coding agents to PreSonus StudioLive III mixers over the local network, exposing live mixer context such as channel names, mute/solo/fader state, Fat Channel compressor/EQ models, and meter activity as MCP resources and tools for reading and reasoning about live sound engineering.

Exposes Spotify search, playlist, library, discovery, and playback tools to AI assistants over MCP Streamable HTTP. Supports Spotify OAuth, multi-client MCP OAuth with PKCE and dynamic client registration, encrypted token storage, and self-hosted Docker deployment.

Integrates with Freesound.org to enable searching, discovering, and previewing audio content such as sound effects and music loops. It provides detailed metadata and licensing information to support video editing and content creation workflows.

Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.

Gives MCP clients control of Apple Music, including playlist and library management, catalog search and discovery, playback controls, and the Up Next queue. It works on macOS, Windows, and Linux using a choice of engines — the native Music app, Safari, Chrome, or Apple's web API — needing only a Mac or an Apple Music subscription.

Enables asking questions about image, audio, or video files using state-of-the-art multimodal models. Powered by fal.ai for advanced media analysis and understanding capabilities.

Enables controlling Apple Music playlists, library, catalog discovery, playback, and the Up Next queue from any MCP client, using Music.app, Safari, Chrome, or the Apple Music API. Runs on macOS, Windows, and Linux, with a mode preference that picks the best available engine per call.

Gives MCP clients control of Apple Music playlists, library, catalog, discovery, playback, and the Up Next queue across macOS, Windows, and Linux, using Music.app, Safari, the Apple Music API, or Chrome.

Enables any MCP client to control Apple Music playlists, library, catalog, discovery, playback, and the Up Next queue on macOS, Windows, and Linux using selectable native, API, Safari, or Chrome engines. Provides catalog and library search, playlist and folder management, ratings and favorites, playback controls, queue management, AirPlay selection, and cross-platform support with or without an Apple Music subscription.

Gives any MCP client control of playlists, library, catalog, discovery, playback, and the Up Next queue, with four selectable engines spanning a native Mac app, the web API, Safari, and Chrome. Runs on macOS, Windows, and Linux, needing only a Mac or a subscription.

Enables MCP clients to search and manage playlists, library, catalog, discovery, playback, and the Up Next queue across macOS, Windows, and Linux.

Enables text-only AI agents to ask questions about images, audio, and video by passing file paths or URLs to a multimodal model and returning text answers.

Gives MCP clients control of Apple Music playlists, library, catalog search and discovery, playback, and the Up Next queue on macOS, Windows, and Linux. It works through four selectable engines — native Music.app, Safari MusicKit, a Chrome web player, or the web API — so it can run with just a Mac or an Apple Music subscription.

Gives MCP clients control of Apple Music playlists, library, catalog, discovery, playback, and the Up Next queue, using four interchangeable engines that run on macOS, Windows, and Linux. Requires only a Mac or an Apple Music subscription, with the API engine needing no browser or Music app at all.