
ivanyangyangxi/artclaw_bridge
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让 DCC 工具通过 MCP 协议接入 AI Agent 的桥接框架 | Bridge DCC tools to AI Agents via MCP protocol
Обзор
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. 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 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 Traditionally, every DCC required custom scripts and tools built one-by-one.
README
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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
🎯 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
Установка
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