"MobX-State-Tree" matching MCP servers:

Enables conversational live coding with Claude AI and TidalCycles for algorithmic music composition, allowing natural language control of patterns, channels, and state.

MCP server that transforms cognitive state into generative music by mapping 13 epistemic vectors to Strudel live coding patterns, with mood presets and a web UI for interactive control.

This MCP server enables AI assistants to control a live REAPER DAW instance, including transport, tracks, FX, MIDI, media, markers, rendering, and project state, with an escape hatch for arbitrary ReaScript commands.

Turns Ableton Live into an MCP-accessible control surface, providing tools for controlling transport, tracks, clips, and devices, as well as resources for reading live state.

An MCP server that exposes Ableton Live control (session state, transport, tracks, devices, clips, MIDI note editing) as tools for LLM agents, enabling natural language manipulation of a Live session.

Enables reading Roon playback state, searching the music library, and controlling playback by connecting to a tonearmd daemon.

Enables Claude Code to control Ableton Live directly through a Max for Live device, letting users read set state, search samples, place clips, build Drum Racks, adjust device parameters, and generate .als project files from sample packs without launching Live.

Bridges MCP clients to a running SuperCollider IDE, enabling code evaluation, state queries, post window capture, and screenshots via OSC.

Enables local inspection of Apple MainStage state and patch/set information, plus MIDI control such as program changes, CC, and metronome toggle via MCP.

Enables playing and inspecting local audio files in an MCP host with an in-conversation UI showing waveform, spectrogram, and loudness metrics, while exposing playback state and metadata to the model.

Connects AI coding agents to PreSonus StudioLive III mixers over the local network, exposing live mixer context such as channel names, mute/solo/fader state, Fat Channel compressor/EQ models, and meter activity as MCP resources and tools for reading and reasoning about live sound engineering.

Enables asking questions about image, audio, or video files using state-of-the-art multimodal models. Powered by fal.ai for advanced media analysis and understanding capabilities.

Enables AI-powered audio processing including stem separation, vocal extraction, loop creation, and musical analysis using state-of-the-art Demucs models. Designed for music producers and audio engineers working with Logic Pro and other DAWs.