ath-maas/pixelle-mcp

🎨 Pixelle MCP - 옴니모달 에이전트 프레임워크

영어 | 中文

✨ MCP 프로토콜 기반의 AIGC 솔루션으로, 로컬 ComfyUI와 클라우드 ComfyUI(RunningHub) 모드를 모두 지원하며, 코드 없이 워크플로우를 MCP 도구로 원활하게 변환합니다.

https://github.com/user-attachments/assets/65422cef-96f9-44fe-a82b-6a124674c417

📋 최근 업데이트

• ✅ 2025-09-29: RunningHub 클라우드 ComfyUI 지원 추가, 로컬 GPU 및 ComfyUI 환경 없이 워크플로우 실행 가능됨
• ✅ 2025-09-03: 세 가지 서비스에서 통합 애플리케이션으로 아키텍처 리팩토링; CLI 도구 지원 추가; PyPI에 게시됨
• ✅ 2025-08-12: LiteLLM 프레임워크 통합, Gemini, DeepSeek, Claude, Qwen 등 다중 모델 지원 추가

🚀 특징

• ✅ 🔄 풀 모달 지원: TISV(텍스트, 이미지, 음성, 비디오) 풀 모달 변환 및 생성 지원
• ✅ 🚀 이중 실행 모드: 로컬 ComfyUI 자체 호스팅 환경 + RunningHub 클라우드 ComfyUI 서비스, 사용자가 필요에 따라 유연하게 선택할 수 있습니다
• ✅ 🧩 ComfyUI 생태계: ComfyUI 위에 구축되었으며, 오픈 ComfyUI 생태계에서 모든 기능을 계승

🎨 Pixelle MCP - Omnimodal Agent Framework

English | 中文

✨ An AIGC solution based on the MCP protocol, supporting both local ComfyUI and cloud ComfyUI (RunningHub) modes, seamlessly converting workflows into MCP tools with zero code.

https://github.com/user-attachments/assets/65422cef-96f9-44fe-a82b-6a124674c417

📋 Recent Updates

• ✅ 2025-09-29: Added RunningHub cloud ComfyUI support, enabling workflow execution without local GPU and ComfyUI environment
• ✅ 2025-09-03: Architecture refactoring from three services to unified application; added CLI tool support; published to PyPI
• ✅ 2025-08-12: Integrated the LiteLLM framework, adding multi-model support for Gemini, DeepSeek, Claude, Qwen, and more

🚀 Features

• ✅ 🔄 Full-modal Support: Supports TISV (Text, Image, Sound/Speech, Video) full-modal conversion and generation
• ✅ 🚀 Dual Execution Modes: Local ComfyUI self-hosted environment + RunningHub cloud ComfyUI service, users can flexibly choose based on their needs
• ✅ 🧩 ComfyUI Ecosystem: Built on ComfyUI, inheriting all capabilities from the open ComfyUI ecosystem
• ✅ 🔧 Zero-code Development: Defines and implements the Workflow-as-MCP Tool solution, enabling zero-code development and dynamic addition of new MCP Tools
• ✅ 🗄️ MCP Server: Based on the MCP protocol, supporting integration with any MCP client (including but not limited to Cursor, Claude Desktop, etc.)
• ✅ 🌐 Web Interface: Developed based on the Chainlit framework, inheriting Chainlit’s UI controls and supporting integration with more MCP Servers
• ✅ 📦 One-click Deployment: Supports PyPI installation, CLI commands, Docker and other deployment methods, ready to use out of the box
• ✅ ⚙️ Simplified Configuration: Uses environment variable configuration scheme, simple and intuitive configuration
• ✅ 🤖 Multi-LLM Support: Supports multiple mainstream LLMs, including OpenAI, Ollama, Gemini, DeepSeek, Claude, Qwen, and more

📁 Project Architecture

Pixelle MCP adopts a unified architecture design, integrating MCP server, web interface, and file services into one application, providing:

• 🌐 Web Interface: Chainlit-based chat interface supporting multimodal interaction
• 🔌 MCP Endpoint: For external MCP clients (such as Cursor, Claude Desktop) to connect
• 📁 File Service: Handles file upload, download, and storage
• 🛠️ Workflow Engine: Supports both local ComfyUI and cloud ComfyUI (RunningHub) workflows, automatically converts workflows into MCP tools

🏃‍♂️ Quick Start