通过MCP协议将DCC工具（UE、Maya、3ds Max、Blender、Houdini、Substance Painter/Designer、ComfyUI）连接到AI代理

🎯 人工智能代理与创意软件之间缺失的桥梁

ArtClaw Bridge 为数字内容创作（DCC）软件提供了一个统一的 AI 桥接层。通过 MCP（模型上下文协议），AI 代理可以直接理解并操作编辑环境——使 AI 真正融入游戏开发、电影与动画以及数字艺术工作流程。

关键词： maya-mcp blender-mcp unreal-engine-mcp 3dsmax-mcp houdini-mcp substance-mcp comfyui-mcp maya-skill blender-skill ue-skill ai-dcc ai-3d mcp-bridge ai-game-dev ai-vfx

中文文档

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🎯 为什么是ArtClaw桥？

我们正在解决的问题

1.人工智能代理无法直接操作创意软件

大多数AI代理（OpenClaw、Claude Code、Cursor等）都是通用平台。它们擅长编码和文本任务，但不知道如何：

• Maya 中的部分对象
• 在虚幻引擎中创建材质
• 在Substance Designer中生成纹理
• 在 ComfyUI 中运行工作流程

2.从定制工具到工具创建平台

ArtClaw Bridge

Bridge DCC tools (UE, Maya, 3ds Max, Blender, Houdini, Substance Painter/Designer, ComfyUI) to AI Agents via MCP Protocol

🎯 The Missing Bridge Between AI Agents and Creative Software

ArtClaw Bridge provides a unified AI bridging layer for Digital Content Creation (DCC) software. Through the MCP (Model Context Protocol), AI Agents can directly understand and operate the editor environment — enabling AI to truly integrate into game development, film & animation, and digital art workflows.

Keywords: maya-mcp blender-mcp unreal-engine-mcp 3dsmax-mcp houdini-mcp substance-mcp comfyui-mcp maya-skill blender-skill ue-skill ai-dcc ai-3d mcp-bridge ai-game-dev ai-vfx

中文文档

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🎯 Why ArtClaw Bridge?

The Problem We’re Solving

1. AI Agents Can’t Directly Operate Creative Software

Most AI agents (OpenClaw, Claude Code, Cursor, etc.) are general-purpose platforms. They excel at coding and text tasks, but they don’t know how to:

• Select objects in Maya
• Create materials in Unreal Engine
• Generate textures in Substance Designer
• Run workflows in ComfyUI

2. From Custom Tools to Tool-Creation Platform

Traditionally, every DCC required custom scripts and tools built one-by-one. ArtClaw Bridge shifts this paradigm:

• Before: Each tool is hand-crafted code, requiring deep expertise in the DCC’s API
• After: Artists describe what they need in natural language, AI generates the tool automatically

The bridge layer handles the DCC-specific complexity once. After that, tool creation becomes a conversation, not a coding task.

3. Tool Management for the AI Era

Traditional tool frameworks were designed for manual discovery and learning. ArtClaw’s Tool Manager reimagines this:

• AI-Native Discovery: No more hunting through menus — just ask AI to find and run the right tool
• Zero Learning Curve: AI explains and executes tools on-demand, eliminating training time
• Team Sharing: Skills and tools are versioned, shared, and synced across the team
• Personal + Team Workflows: Individuals create tools for their needs; teams curate shared libraries

The result: tools are created, shared, discovered, and executed through AI — a framework built for how people actually work with AI.

Our Solution

ArtClaw Bridge is a unified bridging layer that:

• ✅ Connects any MCP-compatible AI Agent to any supported DCC software
• ✅ Provides a standardized protocol (MCP) for AI-to-software communication
• ✅ Includes an AI-powered Tool Manager for natural language tool creation
• ✅ Works with existing Agent platforms — no need to build yet another Agent system