This MCP server implementation provides a bridge between ComfyUI and MCP clients for image generation tasks. It uses WebSockets for communication, allowing clients to send image generation requests with customizable parameters like prompt, width, and height. The server processes these requests through ComfyUI and returns the generated image URL. It's designed for easy integration into applications requiring on-demand AI image generation capabilities.
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Highlight AIGenerate images based on a prompt (requires prompt parameter).
Generate audio based on provided tags and lyrics (requires tags and lyrics parameters).
Regenerate an existing asset using its asset_id with optional parameter overrides (requires asset_id parameter).
View generated images inline (supports images only, not audio/video).
Check the ComfyUI queue state to see running or pending jobs.
Poll the job completion status by prompt_id to check if a job has finished.
Browse recently generated assets to enable AI memory and iteration.
Get full provenance and parameters for an asset, including workflow history.
Cancel a queued or running job.
List all available ComfyUI models.
Get the current default values configured in the server.
Set default values for parameters, with optional persistence.
List all available workflows that can be executed.
Run a specific workflow with custom parameters.
Show publish status, including detected project root and output directories.
Set the ComfyUI output directory, applicable for nonstandard installations.
Publish a generated asset into the project's web directory with deterministic compression (requires asset_id and optional target_filename).
