Comfy MCP Server

0
0 Reviews
21 Stars
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.
Added on:
Created by:
Mar 02 2025
Comfy MCP Server

Comfy MCP Server

0 Reviews
21
0
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.
Added on:
Created by:
Mar 02 2025
Karim Lalani
Featured

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

FAQs of Comfy MCP Server

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

AI Chatbot

Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.