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    Local, private audio transcription MCP server enabling AI agents to transcribe audio files entirely on-device without uploading data.
    3
    MIT
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    Chat with your Ableton Live session in natural language. Provides real-time access to session data, parameter control, and mix analysis via an MCP server and Max for Live device.
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    AI control for FL Studio via the Model Context Protocol — full in-DAW mixing (Mix Doctor diagnosis, gain staging, EQ/compression/reverb, reference matching), routing, and composition through Claude and any MCP client. 67 tools. Windows.
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    MIT
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    An AI copilot for Ableton Live. Speak in natural language to program drums, generate chord progressions, tweak synthesizers, shape automation, and mix your tracks, right inside your open Live set.
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    AGPL 3.0
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    An LLM-friendly Model Context Protocol server for video and audio editing, built on MoviePy v2 and FastMCP. It lets MCP clients trim, merge, resize, overlay, mix audio, and render video through natural language.
    27
    MIT
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    MCP server for controlling REAPER digital audio workstation from natural language. It enables AI agents to create tracks, import audio, adjust mix parameters, and manage sessions through typed operations and a REAPER bridge.
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    Connects any MCP-compatible AI assistant to Audacity, providing 132 tools for real-time audio editing, cleanup, mastering, and transcription — all running locally without cloud dependencies.
    100
    Apache 2.0
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    An MCP server that exposes a synthesizer composer's command catalog as tools, enabling Claude to compose, sound-design, and mix in a live browser session.
    MIT
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    AI copilot for Ableton Live 12 — 104 MCP tools for music production, sound design, and mixing. Talk to your DAW. Create tracks, program MIDI, load instruments, tweak parameters, arrange songs, and mix — all through natural language. LivePilot connects any MCP-compatible AI client (Claude, Cursor, VS Code Copilot) to Ableton Live and gives it full control over your session.
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    Business Source 1.1
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    Enables LLM clients to control Spotify and access user data through the Spotify Web API, including search, playback, playlists, and listening history. Each caller supplies their own credentials per request, so one instance can serve many users without storing any credentials.
    MIT