Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@bespoke-mcp Build a pad synth patch and play a Cmaj7 chord"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An MCP server that lets an LLM drive a live Bespoke Synth window: build and rewire the module graph, set and modulate controls (including the right-click LFO surface), sequence notes, control playback, and — crucially — hear the result via numeric audio analysis, rendered spectrogram/waveform images, and a symbolic note-event log fed back to the model.
INSTALL.md is the setup: what has to be on the machine (git, CMake, a C++
compiler, Python 3.11–3.14, uv, ffmpeg, optionally Docker), then Windows and Linux
instructions per component. Once the submodules are cloned and the fork is built, ./run.sh
brings up a window with the bridge open and every harness below sees the servers.
Related MCP server: Ableton Live MCP
The four servers — bespoke-live, bespoke-offline, score and overtone — are registered in the repo,
one config file per harness, so opening this directory in any of them is the whole setup. None of
the files names a path: uv run resolves the project from the working directory, which is this
checkout.
Harness | File | Notes |
| ||
VS Code asks once before starting a workspace server | ||
project-scoped config needs the directory trusted | ||
Zed calls them | ||
per user | these keep one central config in your home directory and will not take a relative path, so it cannot be committed. |
Two harnesses at once. Every line above is uv run --frozen --no-sync python -m bespoke_mcp
and not uv run bespoke-mcp, which is what makes Claude Code and Antigravity — or any other two —
able to hold these four servers open on the same checkout at the same time. A plain `uv run
This server cannot be deployed
Create and track AI music videos and audio-reactive visuals from songs.
Turn any LLM multimodal; generate images, voices, videos, 3D models, music, and more.
Generate AI music via the Lacuna Music API from MCP clients like Claude Desktop & Code.
MCP server for Producer/Riffusion AI music generation
