Comfy MCP Server
This MCP sets up a server that leverages the FastMCP framework to generate images based on text prompts by interacting with a remote Comfy server, enabling efficient image creation workflows.
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Created by:
Mar 02 2025
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What is Comfy MCP Server?
Comfy MCP Server is designed to facilitate image generation tasks by integrating a FastMCP framework with a remote Comfy server. Users can submit prompts and receive generated images through a streamlined process that involves configuration of environment variables, prompt submission, and image retrieval. It supports custom workflows exported from Comfy UI and can interact with local or Ollama models for prompt generation. This setup is ideal for automating and scaling image creation in AI-driven environments, suitable for developers, artists, and researchers seeking an efficient API-based image generation system.
Who will use Comfy MCP Server?
- Developers
- AI Researchers
- Digital Artists
- Content Creators
How to use the Comfy MCP Server?
- Step 1: Install necessary dependencies including uv and Python packages
- Step 2: Set environment variables such as COMFY_URL, COMFY_WORKFLOW_JSON_FILE, PROMPT_NODE_ID, OUTPUT_NODE_ID, OUTPUT_MODE
- Step 3: Export your Comfy UI workflow JSON file
- Step 4: Run the server with the command 'uvx comfy-mcp-server'
- Step 5: Submit prompts via API to generate images and retrieve results
Comfy MCP Server's Core Features & Benefits
The Core Features
- generate_image(prompt: str, ctx: Context)
- generate_prompt(topic: str, ctx: Context)
The Benefits
- Automates image generation from text prompts
- Integrates with remote Comfy server for high-quality image creation
- Supports custom workflows and models for flexible prompts
- Enables scalable and efficient image synthesis workflows
Comfy MCP Server's Main Use Cases & Applications
- Automated art and design creation
- Batch image generation for research
- AI-powered content creation workflows
- Integration into creative production pipelines