An MCP server that drives a local ComfyUI - including the workflow you have open in the browser.
View on GitHub ↗An MCP server that drives a local ComfyUI - including the workflow you have open in the browser.
Point your assistant at ComfyUI and it can list your workflows, work out what parameters each one takes, run them, watch the progress, and show you the result. With the optional bridge node installed it can also read and edit the canvas on screen, unsaved changes and all.
ComfyUI's HTTP API knows about files, models and the queue. It knows nothing about the workflow being edited: that lives in litegraph, inside the page, and the only copy of its unsaved state is in the tab's memory.
The bridge turns the WebSocket ComfyUI already holds open to every client into a request/response channel, so an assistant can read the live graph, change widget values, rewire links, tidy the layout, take a screenshot of the canvas, and queue the workflow the same way the Queue button does.
Everything else works without it, and the tools say plainly which of the two setup steps is missing rather than failing vaguely.
- ComfyUI - a portable build or any local install. - Nothing else. The installer fetches uv, which then builds an isolated .venv with the right Python. No global Python, no system packages. - An MCP client. Eleven are supported out of the box; see below.
Five steps: fetch uv, build the .venv, seed .env from the template, check the server imports, run the test suite. Safe to run again - each step checks whether it is already done.
From the project README.
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