by RioShiina47 · MCP Server · ★ 120
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 120 |
| Forks | 6 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-21 |
| Created | 2025-11-10 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~18k |
Comfy web UI — A modular, recipe-driven workflow-as-a-service platform for ComfyUI Comfy web UI is more than a modular, mobile-first frontend for ComfyUI — it's a powerful workflow-as-a-service platform. Built on Gradio, it communicates with ComfyUI backends via a dynamic workflow-assembly API.
These tools work well together with comfy-webui for enhanced workflows:
Looking for a comfy-webui alternative? If you're comparing comfy-webui with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug
MCP server for Claude Code/VSCode/Cursor/Windsurf to use editor self functionality. ⚡ Get real-time LSP diagno
An MCP Multimodal AI Agent with eyes and ears!
Your own personal AIGC Factory. Any picture. Any reel. The Comfy way. ©️
OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templ
An MCP server to query any Postgres database in natural language.
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: