Flagged: reads agent config files. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by artokun · MCP Server · ★ 737
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is comfyui-mcp safe to install? View the security audit →
comfyui-mcp MCP server + Claude Code plugin for ComfyUI — execute workflows, generate images, visualize pipelines, manage models, control VRAM, and explore custom nodes, all from your AI coding assistant. Works on macOS, Linux, and Windows. Auto-detects your ComfyUI installation and port. 31 MCP tools 3 hooks Quick Start 1. Install ComfyUI (if you haven't already): ComfyUI Desktop or from source 2. Add the MCP server to your Claude Code config (): 3. Start using it. With ComfyUI running, ask Claude to generate an image: Claude will find (or download) a checkpoint, build a workflow, execute it, and return the image. Note: This runs as a standalone MCP server — no need to clone this repo. will download a
| Stars | 737 |
| Forks | 119 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.5928165707193/100 |
| Open Issues | 82 |
| Last Updated | 2026-09-10 |
| Created | 2026-02-15 |
| Platforms | claude-code, gemini, mcp, node |
| Est. Tokens | ~19k |
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comfyui-mcp is Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video & audio, authors and runs workflows, and edits your live graph in natural language on ANY . It is categorized as a MCP Server with 737 GitHub stars.
comfyui-mcp is primarily written in TypeScript. It covers topics such as agent-skills, ai-agent, claude-code.
You can find installation instructions and usage details in the comfyui-mcp GitHub repository at github.com/artokun/comfyui-mcp. The project has 737 stars and 119 forks, indicating an active community.
comfyui-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to comfyui-mcp on Agent Skills Hub include guaardvark, ComfyUI_Skills_OpenClaw, comfy-pilot. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: