ath-maas/pixelle-mcp

🎨 Pixelle MCP - オムニモーダルエージェントフレームワーク

英語 |中文

✨ MCPプロトコルに基づくAIGCソリューションで、ローカルのComfyUIモードとクラウドのComfyUI(RunningHub)モードの両方をサポートし、ワークフローをコードなしでシームレスにMCPツールに変換します。

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

📋 最近の更新

• ✅ 2025-09-29:RunningHubクラウドのComfyUIサポートを追加し、ローカルGPUおよびComfyUI環境なしでワークフロー実行を可能にしました
• ✅ 2025-09-03: 3つのサービスから統一アプリケーションへのアーキテクチャリファクタリング;CLIツールのサポートを追加;PyPIに公開
• ✅ 2025-08-12: LiteLLMフレームワークを統合し、Gemini、DeepSeek、Claude、Qwenなどのマルチモデルサポートを追加しました

🚀 特徴

• ✅ 🔄 フルモーダルサポート:TISV(テキスト、画像、音声/音声、ビデオ)のフルモーダル変換と生成をサポートします
• ✅ 🚀 デュアル実行モード:ローカルのComfyUIセルフホスト環境+RunningHubクラウドのComfyUIサービス。ユーザーはニーズに応じて柔軟に選択可能です
• ✅ 🧩 ComfyUIエコシステム:ComfyUIを基に構築され、オープンなComfyUIエコシステムからすべての機能を引き継ぎます

🎨 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