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 using a prompt.
Generate audio based on provided tags and lyrics.
Regenerate an existing asset with optional parameter overrides, requires asset_id.
View generated images inline.
Check the ComfyUI queue state, providing async awareness of running/pending jobs.
Poll job completion status by prompt_id to check if a job has finished.
Browse recently generated assets, enabling AI memory and iteration.
Get full provenance and parameters for an asset, including workflow history.
Cancel a queued or running job.
List available ComfyUI models.
Get current default values.
Set default values with optional persistence.
List all available workflows.
Run any workflow with custom parameters.
Show publish status, including detected project root and any missing setup.
Set ComfyUI output directory, recommended for Comfy Desktop or nonstandard installs.
Publish a generated asset into the project's web directory with deterministic compression.
