Ableton MCP enables AI assistants to control Ableton Live music production software through a bidirectional communication system. It consists of a Remote Script that runs within Ableton Live and exposes a socket server, paired with a Python MCP server that translates commands into actions. The implementation supports a wide range of music production operations including creating tracks and clips, adding MIDI notes, controlling playback, loading instruments, and browsing the Ableton library. Developed by Siddharth Ahuja, this integration is particularly valuable for AI-assisted music composition, production workflows, and automated sound design without leaving the conversation interface.
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Create a new MIDI track with a specified instrument.
Add an effect to a specified track, such as reverb or delay.
Create a 4-bar MIDI clip with a simple melody.
Get information about the current Ableton session.
Load a specified instrument from Ableton's library into the selected track.
Add notes to a specified MIDI clip.
Set the tempo of the session to a specified BPM.
Play the clip in a specified track.
