comfy-mcp: Local MCP server for ComfyUI — run your local ComfyUI from AI agents

by Comfy-Org · MCP Server · ★ 297

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install comfy-mcp

pip install comfy-mcp "comfy-cli>=1.14.0"  # this server + the engine it wraps

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

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.

ai-agentscomfy-clicomfyuimcpmodel-context-protocol

Quick Facts

Stars297
Forks37
LanguagePython
CategoryMCP Server
Quality Score67/100
Open Issues20
Last Updated2026-10-22
Created2026-07-01
Platformscli, mcp, python
Est. Tokens~25k

About comfy-mcp

Comfy MCP Drive your own ComfyUI from Claude Code, Claude Desktop, Cursor, or any MCP-speaking AI agent — an MCP server built on . <img src="https://img.shields.io/badge/ComfyUI-self--hosted-blue?style=for-the-badge" alt="Comfy

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How this security grade is produced

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:

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