ComfyUI MCP Server - Production

A robust Model Context Protocol (MCP) server that provides Unity with reliable AI image generation through ComfyUI.

Features

🎨 Reliable Image Generation

• Queue-based completion detection (no timeouts)
• Multiple download fallback methods
• Production-grade error handling

🌸 Specialized Workflows

• General image generation with customizable parameters
• Flower texture generation optimized for Unity
• Support for seamless tileable textures

🔧 Production Ready

• Comprehensive logging and monitoring
• Configuration management with environment variables
• Robust error handling and recovery
• Performance statistics and health monitoring

🎮 Unity Integration

• Automatic Unity asset folder management
• PNG texture optimization
• Material-ready output format

Quick Start

Prerequisites

1. ComfyUI running on http://127.0.0.1:8188
2. Python 3.8+ with required packages
3. Unity project with Assets folder structure

Installation

1. Install dependencies:

   pip install mcp requests
   

2. Configure the MCP client to use this server:

   {
     "mcpServers": {
       "comfy": {
         "command": "python",
         "args": ["path/to/comfyui-mcp/server.py"],
         "cwd": "path/to/comfyui-mcp"
       }
     }
   }
   

3. Start using through Unity/Coplay!

Usage

Generate General Images

# Through MCP client
result = await mcp_client.call_tool("generate_image", {
    "client_id": "unity-client",
    "prompt": "beautiful landscape, sunset, high quality",
    "width": 1024,
    "height": 1024,
    "steps": 25,
    "cfg": 7.5
})

Generate Flower Textures

# Through MCP client
result = await mcp_client.call_tool("generate_flower_texture", {
    "client_id": "unity-client", 
    "flower_type": "rose",
    "seamless": True,
    "detail_level": "high"
})

Check Server Status

# Get server health and statistics
status = await mcp_client.call_tool("get_server_status", {
    "client_id": "unity-client"
})

Configuration

Environment Variables