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Artclaw Bridge

v1.0.0•Developer Tools•stable

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

3dsmaxai-agentblenderdccgame-development
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What is Artclaw Bridge?

Artclaw Bridge is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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

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

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • 让 DCC 工具通过 MCP 协议接入 AI Agent 的桥接框架 | Bridge DCC tools to AI

Use Cases

Connect DCC tools (Maya, Blender, Houdini, 3DS Max) to AI agents via MCP. Automate 3D asset creation and game development workflows. Bridge digital content creation tools with AI agents.
IvanYangYangXi

Maintainer

LicenseMIT
Languagepython
Versionv1.0.0
UpdatedMay 20, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx artclaw-bridge

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Artclaw Bridge

Artclaw Bridge is a framework that connects professional Digital Content Creation (DCC) tools — including Maya, Blender, Unreal Engine, 3ds Max, Houdini, Substance Painter, Substance Designer, and ComfyUI — to AI agents via the Model Context Protocol. Each supported application runs a local MCP endpoint on a dedicated port, and the bridge relays tool calls from AI clients such as Claude Code, Cursor, or LobsterAI to the DCC software's Python or scripting API. This enables AI-assisted 3D asset creation, material editing, viewport control, and generative image workflows entirely from a chat interface.

Prerequisites

  • Python 3.9 or newer
  • At least one supported DCC application: Unreal Engine 5.7, Maya 2023, 3ds Max 2023, Blender 5.1, Houdini, Substance Painter 11.0.1, Substance Designer 12.1.0, or ComfyUI V0.19.0
  • An MCP-compatible AI agent platform: Claude Code, Cursor, LobsterAI, OpenClaw, or WorkBuddy
  • Git for cloning the repository
1

Clone the repository

Download the Artclaw Bridge source code which contains the installer, DCC plugins, and skill libraries.

git clone https://github.com/IvanYangYangXi/artclaw_bridge.git
cd artclaw_bridge
2

Run the installer for your DCC tool

The installer deploys the plugin into the target DCC application, configures startup scripts, and registers MCP skills. Run it with --help to see all available DCC targets.

# Windows
install.bat

# Or use the Python installer for specific options
python install.py --help
3

Enable the plugin in your DCC application

Open your DCC software, navigate to its plugin manager (e.g., Windows > Settings/Preferences > Plug-in Manager in Maya, or Edit > Preferences > Add-ons in Blender) and enable the ArtClaw plugin. A chat panel will appear in the UI.

4

Verify the MCP endpoint is reachable

Each DCC tool listens on a dedicated port. Confirm the endpoint is active after enabling the plugin. Default ports: Unreal Engine 8080, Maya 8081, 3ds Max 8082, Blender 8083, Houdini 8084, Substance Painter 8085, Substance Designer 8086, ComfyUI 8087.

curl http://localhost:8081/health
5

Configure your AI agent to connect

Point your MCP client at the local bridge server. The bridge translates MCP tool calls into the DCC application's native Python or script API calls.

{
  "mcpServers": {
    "artclaw-bridge": {
      "command": "python",
      "args": ["artclaw_bridge/mcp_entry.py"],
      "env": {
        "ARTCLAW_DCC": "maya",
        "ARTCLAW_PORT": "8081"
      }
    }
  }
}
6

Test with a simple AI command

Ask your AI client to perform a basic operation in the connected DCC tool to confirm the bridge is working end-to-end.

Artclaw Bridge Examples

Client configuration

Example MCP configuration for connecting to an Artclaw Bridge instance targeting Maya on port 8081.

{
  "mcpServers": {
    "artclaw-bridge": {
      "command": "python",
      "args": ["/path/to/artclaw_bridge/mcp_entry.py"],
      "env": {
        "ARTCLAW_DCC": "maya",
        "ARTCLAW_PORT": "8081"
      }
    }
  }
}

Prompts to try

Example prompts for AI-assisted DCC workflows once the bridge is connected.

- "Create a new PBR material called 'RustyMetal' and assign it to the selected object in Maya"
- "In Blender, capture a viewport screenshot and describe the scene composition"
- "Generate a text-to-image workflow in ComfyUI using the prompt: futuristic city at night, cinematic lighting"
- "List all nodes in the current Substance Designer graph and show their connections"
- "Bake normal maps for the selected mesh in Substance Painter and export to PNG"

Troubleshooting Artclaw Bridge

MCP endpoint connection refused on the DCC port

Make sure the DCC application is open and the ArtClaw plugin is enabled. Check the DCC's script output console for startup errors. Verify no firewall is blocking localhost connections on the configured port (8080-8087).

Installer fails to find the DCC application path

Run 'python install.py --help' to see flags for specifying custom install paths for each DCC tool. On Windows, ensure you are running the installer as Administrator if the DCC is installed in Program Files.

Skills or tools not appearing in the AI agent

Skills are deployed to ~/.openclaw/workspace/skills/ (for OpenClaw) or the equivalent path for your agent platform. Restart your AI client after installation. Check ~/.artclaw/config.json to confirm the correct platform and skill paths are configured.

Frequently Asked Questions about Artclaw Bridge

What is Artclaw Bridge?

Artclaw Bridge is a Model Context Protocol (MCP) server that 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 It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Artclaw Bridge?

Follow the installation instructions on the Artclaw Bridge GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Artclaw Bridge?

Artclaw Bridge works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Artclaw Bridge free to use?

Yes, Artclaw Bridge is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "artclaw-bridge": { "command": "npx", "args": ["-y", "artclaw-bridge"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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