MIT
hh-mcp-comfyui
by zjf2671
Related Servers
Alternatives to hh-mcp-comfyui
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to generate images using ComfyUI by exposing tools for image generation, batch processing, and status checking through the Model Context Protocol.MIT
- AlicenseNot gradedqualityAmaintenanceGives AI agents access to ComfyUI generation, workflows, installed models, recent assets, and job controls through the Model Context Protocol.MIT
- FlicenseNot gradedqualityCmaintenanceModel Context Protocol server that exposes ComfyUI workflows as tools, enabling chat agents to generate images, video, audio, and 3D content.-
- FlicenseNot gradedqualityDmaintenanceEnables high-quality image generation using Zhipu AI's CogView models through the Model Context Protocol. Users can generate, download, and manage images with customizable sizes and quality settings.1-
- AlicenseNot gradedqualityDmaintenanceEnables discovery of ComfyUI nodes and building/managing workflows with real-time execution via WebSocket. Provides 50+ tools for node discovery, workflow building, template usage, model management, and batch/chain execution.1713MIT
TDQS
A3.8/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have clearly distinct purposes: one takes an input image for image-to-image generation, the other takes a text prompt for text-to-image generation. An agent can easily select the appropriate tool based on whether they have a reference image.
Naming Consistency5/5
Both tool names follow a consistent 'generate_image_from_<source>' pattern (image vs text). The naming is uniform and predictable, making it easy for an agent to infer the function.
Tool Count4/5
With only 2 tools, the server is very focused but slightly sparse for a general ComfyUI interface. It covers the two fundamental generation modes, which is reasonable for a minimal setup, though a few more tools (e.g., upscale or inpaint) would be expected.
Completeness3/5
The server covers the two core ComfyUI workflows (text-to-image and image-to-image), but lacks common operations like upscaling, inpainting, or workflow management. There are notable gaps that agents cannot work around.
Maintenance
ActivityInactive
ResponsivenessNo issues