Ableton Live
Summary
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.
Available Actions(8)
create_track
Create a new MIDI track with a specified instrument. Parameters: instrument (string)
add_effect
Add an effect to the specified track. Parameters: track (int), effect (string)
create_clip
Create a 4-bar MIDI clip with a simple melody. Parameters: melody (optional string)
get_session_info
Get information about the current Ableton session.
load_instrument
Load an instrument from Ableton's library into the selected track. Parameters: track (int), instrument (string)
add_notes_to_clip
Add notes to a specified MIDI clip. Parameters: clip_id (int), notes (array of strings)
set_tempo
Set the tempo of the session. Parameters: bpm (int)
play_clip
Play the specified clip in a given track. Parameters: track (int), clip_id (int)
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