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by zjf2671 • Frontend & UI
An MCP server that exposes a local ComfyUI instance over the Model Context Protocol for programmatic image generation and workflow-based image editing.
Generate images using a local ComfyUI instance through the Model Context Protocol.
Run pre-built ComfyUI workflows with dynamic prompt and parameter substitution (e.g., changing size or prompt at request time).
Perform image-to-image editing or background removal workflows exposed as MCP resources for automated pipelines.
This project wraps a local ComfyUI installation and exposes its workflows as MCP resources so agents and clients can request image generation and editing via standard MCP calls. It automatically loads JSON workflows from a configurable workflows directory and supports dynamic replacement of prompts, sizes, and other parameters. Startup options include uvx, pip (python -m), and Docker, and it integrates with MCP clients like Cherry Studio, Cline, and MCP Inspector.
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