Shawarma

Enables coding agents to compose, edit and run multi-agent pipelines represented as songs, where channels are agents, notes are agent calls, and mixer buses carry each agent's output to the next. Lets agents create and modify arrangements, validate and render projects headlessly, play them back live in a studio window, and export the result as WAV or MP3, with every change undoable and cached takes replayed for free.

Enables AI agents to create and edit Strudel music code, render offline WAV audio, and obtain structured hearing reports with waveform, spectrogram, BPM, and onset analysis.

Enables AI agents to build songs by editing a JSON song model: searching a licence-tagged sample library, adding step-pattern and time-stretched loop tracks, setting gain/pan, describing songs, and rendering them to 44.1 kHz WAV/MP3 with release-safety warnings. Songs and renders are read from and written to a project root, so an agent can go from empty project to finished track through MCP tool calls.

Enables AI agents to generate, manipulate, and perform algorithmic music using Strudel.cc live coding environment. Provides 46+ tools for pattern generation across multiple genres, music theory operations, real-time audio analysis, and AI-powered composition.