comfyui-mcp-secure

Overview

A secure MCP server for ComfyUI with workflow inspection and audit logging.

Capabilities

• • stdio transport support
• • network transport options
• • prompt templates
• • github integration
• • mcp client integration
• • workflow automation support

Best For

Secure MCP server for ComfyUI featuring workflow inspection and audit logging.

Decision Snapshot

• • Source provenance count: 1
• • Last seen: 4/1/2026
• • Published: 3/17/2026

Installation / Setup

# Install && pip install comfyui-mcp  # or: git clone + uv sync && # Add to Claude Code (plugin with slash commands, skills, and security hook) && claude plugin install github:hybridindie/comfyui_mcp

This is an MCP Find-authored example config generated from strong evidence.

Review official documentation and source metadata for complete setup parameters.

{
  "mcpServers": {
    "comfyuimcp": {
      "command": "uv"
    }
  }
}

Usage

{ && "mcpServers": { && "comfyui": { && "command": "uv",

Features

• • Audit logs redact sensitive fields (token, api_key, etc.), but avoid printing secrets in shell history when possible.
• • Mount your config: -v ~/.comfyui-mcp:/root/.comfyui-mcp:ro
• • Set COMFYUI_URL to reach your ComfyUI instance from inside the container
• • Use host.docker.internal to reach ComfyUI running on your host machine
• • The GHCR image (ghcr.io/hybridindie/comfyui_mcp:latest) means no local build needed
• • stdio transport support
• • network transport options
• • prompt templates

Use Cases

• • Supports capabilities such as: stdio transport support; network transport options; prompt templates.
• • Common usage themes: ai, comfyui, image-generation, mcp.

Supported Clients / Integrations

• • stdio transport support
• • network transport options
• • prompt templates
• • github integration
• • mcp client integration
• • workflow automation support

Compatibility Signals

• • GitHub: supports (Detected in parser config/capability hints.)

Prompt Examples

Notes / Requirements

• • Primary language: Python
• • License: MIT
• • Documentation coverage: medium
• • Parser coverage score: 1.00
• • Source feeds: PyPI RSS + JSON API
• • Topic cluster: general

Official Links

• Website
• Repository
• Documentation 1 (/uv)

Source Information

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