comfyui-mcp
Enables AI-assisted visual content generation and ComfyUI workflow management directly within Claude, reducing context switching and accelerating prototyping…
MCP server + Claude Code plugin that operates ComfyUI end to end: 108 MCP tools and 32 AI skills (Flux, WAN, LTX video, Qwen and more) for generating images, video, and audio, authoring and editing the live node graph in natural language, and managing models and custom nodes. Runs standalone via npx against a local or remote ComfyUI install.
- Generate product mockup images and marketing videos directly from Claude without leaving your chat.
- Automate custom node installation and model management for your ComfyUI workflow setup.
- Build and edit visual AI processing graphs interactively while discussing design choices with Claude.
Enables AI-assisted visual content generation and ComfyUI workflow management directly within Claude, reducing context switching and accelerating prototyping of image and video assets without leaving the development environment.
Engineering teams and product developers building AI-powered applications that require rapid iteration on visual or video content generation workflows.
https://github.com/artokun/comfyui-mcp
By artokun
How to Get It
claude mcp add comfyui-mcp -- npx -y comfyui-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Help me generate product mockup images and marketing videos directly from Claude without leaving my chat
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 176 GitHub stars; contributors unknown; last commit 1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 176 GitHub stars; contributors unknown; last commit 1d ago; license MIT.