基于 ComfyUI + MCP + LLM https://pixelle.ai 的开源多模态 AIGC 解决方案。
概览
🎨 Pixelle MCP - 全模态代理框架 ✨ 基于MCP协议的AIGC解决方案，支持本地ComfyUI和云ComfyUI（RunningHub）模式，无需代码即可无缝将工作流程转换为MCP工具。 https://github.com/user-attachments/assets/65422cef-96f9-44fe-a82b-6a124674c417 - ✅ ： 增加了 RunningHub 云端 ComfyUI 支持，实现无需本地 GPU 和 ComfyUI 环境的工作流程执行- ✅ ： 架构从三项服务重构为统一应用;新增 CLI 工具支持;发布于 PyPI - ✅ ： 集成了 LiteLLM 框架，增加了对 Gemini、DeepSeek、Claude、Qwen 等多模型的支持 - ✅ 🔄 ：支持TISV（文本、图片、声音/语音、视频）全模态转换与生成 - ✅ 🚀 ：本地ComfyUI自架环境 + RunningHub云ComfyUI服务，用户可根据需求灵活选择 - ✅ 🧩 ：基于ComfyUI构建，继承开放ComfyUI生态系统的所有功能 - ✅ 🔧 ：定义并实现......
概述（AI 翻译）
🎨 Pixelle MCP - 全模态代理框架
英文 |中文
✨ 基于MCP协议的AIGC解决方案，支持本地ComfyUI和云ComfyUI（RunningHub）模式，无需代码即可无缝将工作流程转换为MCP工具。
https://github.com/user-attachments/assets/65422cef-96f9-44fe-a82b-6a124674c417
📋 最新更新
- ✅ 2025-09-29：新增 RunningHub 云 ComfyUI 支持，支持无需本地 GPU 和 ComfyUI 环境的工作流程执行
- ✅ 2025-09-03：架构从三项服务重构为统一应用;增加了CLI工具支持;发布到PyPI
- ✅ 2025-08-12：整合了LiteLLM框架，增加了对Gemini、DeepSeek、Claude、Qwen等多模型的支持
🚀 特色
- ✅ 🔄 全模态支持：支持TISV（文本、图像、声音/语音、视频）全模态转换和生成
- ✅ 🚀 双重执行模式：本地ComfyUI自架环境+RunningHub云ComfyUI服务，用户可根据需求灵活选择
- ✅ 🧩 ComfyUI 生态系统：基于 ComfyUI，继承了开放 ComfyUI 生态系统的所有功能
本页由 AI 翻译，技术细节请以原文为准。
README
以下为原文 README 节选，完整内容请查看原文。
🎨 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
安装
uvx pixelle@latest