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    An AI music production and mixing partner for Ableton Live via MCP. Program expressive MIDI clips, design synth parameters, shape automation curves, arrange on the timeline, and mix tracks with real-time verified feedback.
    60
    1
    AGPL 3.0
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    Enables AI assistants to inspect and edit an Ableton Live set in real time, including tracks, devices, parameters, clips, MIDI, and undo-safe changes, with guardrails such as all-or-nothing validation and optional read-only mode.
    MIT
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    Exposes a local, hands-free voice room to any MCP client, letting agents read speaker-labelled conversation turns, wait for the next turn, list who is present, and speak aloud through local text-to-speech. Speech recognition, speaker identification and voice output all run on the user's own machine, so agents receive text with speaker names rather than audio.
    Apache 2.0
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    Enables MCP clients to control Ableton Live through a Max for Live device and optional Remote Script, covering tracks, clips, MIDI notes, mixer settings, transport, and plugin search and insertion.
    1
    MIT
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    Local MCP server for inspecting and controlling Ableton Live through a local HTTP bridge. Enables LLMs to perform production workflows like MIDI import, track editing, mixing, mastering, and export.
    59
    21 npm
    MIT
  • A
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    Enables AI agents to control Ableton Live by evaluating arbitrary Python code and using predefined tools for common tasks, supporting voice and text commands for music production.
    27
    236
    MIT
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    C
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    Enables MCP clients to programmatically control an Ableton Live 12 session, including tracks, clips, MIDI notes, devices, parameters, mixer, scenes, warping, and rendering, over streamable HTTP.
    1
    MIT
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    Enables Claude or any AI agent to operate Live 12 Intro end to end: creating tracks and scenes, writing and quantizing MIDI clips, loading audio onto the Arrangement timeline, setting device parameters in real units, drawing clip automation, mixing with real sidechain, and rendering or analyzing audio so the agent can check its own work. It exposes 57 tools over MCP or a local JSON socket, working within the stock Intro edition's 16-track, 16-scene limits.
    57
    MIT
  • F
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    Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.
    11
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  • A
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    Enables AI agents to control and inspect Ableton Live by executing Python code directly against the Live Object Model. It allows for automated track management, MIDI note creation, and real-time session manipulation through a natural language interface.
    37 PyPI
    2
    MIT
  • A
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    Enables an MCP client to inspect and modify a running digital audio workstation session through a local Python remote-script TCP bridge, exposing tools for session and track structure, clip slots and MIDI notes, devices and browser items, and mixer/transport control. Read and bulk-write operations cover tempo, naming, clip creation and note editing, muting/soloing/arming, playback and scene launching, and device parameter loading and adjustment.
    32
    2
    MIT
  • A
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    An MCP server that enables AI assistants to control Ableton Live, providing 104 tools for music production including track, clip, device, and mixer control.
    156
    743 PyPI
    73
    MIT
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    Enables AI-powered music generation and live coding by providing direct control over Strudel.cc through browser automation. Supports pattern creation, audio analysis, and pattern storage for TidalCycles/Strudel music patterns.
    28
    495 npm
    249
    AGPL 3.0
  • A
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    Enables AI agents to control Ableton Live 12 Suite through 75 tools for composition, clip and scene triggering, arrangement automation, MIDI editing and algorithmic transformations, device and rack macro control, take-lane comping, microtonal tuning, and automated audio export.
    75
    Apache 2.0
  • A
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    C
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    Enables Claude to turn a JSON song spec into a real, editable FL Studio project plus a matching MIDI file, then render it headless, master to a loudness target, and analyze the audio for loudness, tonal balance and section-level mix problems so the model can iterate without hearing.
    MIT