Pixelle MCP is an omnimodal AIGC solution based on the MCP protocol, which can convert ComfyUI workflows into MCP tools without code, achieving seamless integration between LLM and ComfyUI.

A lightweight MCP server based on Python that interacts with local ComfyUI via WebSocket to enable programmatic image generation by AI agents.

The MCP service of ComfyUI provides image generation and prompt optimization functions, supporting automatic size adjustment and random seed generation.

The ComfyUI MCP Server is a service implementation for integrating ComfyUI with MCP. It needs to be used with a running ComfyUI server and provides multiple built-in tools such as text-to-image generation, image downloading, and running custom workflows. It supports running in UV or Docker mode.

This project is an MCP server implementation connecting to ComfyUI, providing functions such as image generation, image description generation, and tag analysis, and supporting image processing through API interaction with ComfyUI.

An MCP server that connects to the local ComfyUI, providing note storage and summary generation functions

An MCP server based on the ComfyUI workflow, used to generate images based on prompts and return the image URL

This project is a ComfyUI workflow pipeline wrapper designed for Open WebUI. It implements image generation functionality through the comfy - mcp - server and needs to be used in conjunction with ComfyUI and Open WebUI Pipelines.

An MCP server that connects to local ComfyUI, providing note management and summary generation functions

GBox MCP Server is a server implementation based on the FastMCP protocol, supporting real-time communication with the GBox game engine and integrating ComfyUI to achieve AI-assisted game development.

ComfyUI_StoryDiffusion is a plugin based on ComfyUI that supports the StoryDiffusion and MS - Diffusion models for generating coherent long - sequence images and videos. The project supports multiple functions, including dual - character co - appearance, ControlNet control, Lora acceleration, text - to - image and image - to - image conversion, etc.