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    Enables MCP clients to manage Apple Music playlists end-to-end, including search, playlist creation and editing, metadata and flow auditing, track ordering optimization, and listening statistics, without an Apple Developer account.
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    MIT
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    A local MCP server that rings a bell through your speakers to provide audible notifications when AI completes tasks or needs attention.
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    MIT
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    Enables reading and creating projects in a local CapCut draft library through natural language — listing timelines, checking for missing media, and generating new edits from clips, with cuts automatically matched to the beat of a track. It works by cloning an existing draft as a structural template, so new projects inherit CapCut's undocumented file format.
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    MIT
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    Extract structured knowledge from voice recordings. Transcribes audio using Mistral's Voxtral model and lets your LLM agent handle post-processing within your existing setup.
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    MIT
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    Enables reading and controlling a Universal Audio Apollo interface: channel names, faders, preamp gain, cue sends, monitor control, and more via the UA Mixer Engine's local TCP API.
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    MIT
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    Enables AI models to read and edit your own BandLab songs via natural-language prompts, performing concrete mix operations like adjusting track levels, pan, effects, and arrangement while creating new non-destructive revisions.
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    MIT
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    Enables MCP clients to search songs, retrieve details and lyrics, and manage personal playlists on NetEase Cloud Music, with optional local player control on macOS, all through a privacy-first, self-hosted service.
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    MIT
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    Enables MCP-compatible agents to split a finished song into vocals, drums, bass, and other stems using local Demucs or a remote command, with asynchronous job status and cancellation.
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    AGPL 3.0
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    Enables AI agents to inspect and control Q-SYS audio/video systems via the QRC protocol over TCP, against a real Core or Q-SYS Designer emulator.
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    MIT
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    MCP server that lets AI assistants control Siglent SDG waveform generators over a local network using natural language, supporting signal generation, modulation, sweep, burst, and arbitrary waveforms.
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    6 npm
    MIT
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    Enables AI assistants to generate and control real-time audio synthesis through natural language descriptions using SuperCollider. Features 10 built-in synth types, pattern sequencing, audio recording, and server lifecycle management for creating sounds from simple English descriptions.
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