How can an AI agent control Marvelous Designer?

If you mean an MCP-compatible AI agent operating a live Marvelous Designer session—not merely explaining a tutorial or generating a one-off script—DCC-MCP can inspect garment patterns and run bounded project, pattern, simulation, save, and export operations through the documented Python API. DCC-MCP performs work through discoverable typed tools, instance routing, and result validation.

What can an AI agent do in Marvelous Designer?

• inspect API availability and paginated pattern information.
• create a bounded rectangular pattern or run a limited synchronous simulation.
• save a new ZPRJ or verify OBJ, FBX, or Alembic artifacts in an empty output directory.

Capabilities change with the adapter version and loaded Skills. Search and describe tools first instead of guessing current tool names from this page.

Safe operating flow

1. Install and follow the public dcc-mcp Skill.
2. Inspect the existing CLI, adapter, and live hosts; obtain consent before installing software or changing system state.
3. Use health, dcc-types, and list to verify the Gateway and target instance.
4. Search and describe tools for the actual Marvelous Designer task, then follow every returned next_step.
5. Make one bounded change and verify it through host state, files, previews, logs, or rendered output.

dcc-mcp-cli health
dcc-mcp-cli dcc-types
dcc-mcp-cli list

Copyable prompt

Use the dcc-mcp Skill to connect to my Marvelous Designer session. Inspect the existing CLI, adapter, and live instance first; ask before installing software or changing system state. Search for and describe typed tools related to "create a bounded rectangular pattern or run a limited synchronous simulation", then follow every returned next_step. Do not delete, overwrite, or publish existing work. Make the smallest verifiable change, validate save a new ZPRJ or verify OBJ, FBX, or Alembic artifacts in an empty output directory, and report the instance, tool, result, and evidence path.

Current availability and official source

Source preview. The initial 0.1.0 implementation has no tag or GitHub Release and is not in the DCC-MCP Core 0.20.25 catalog. No licensed Marvelous Designer host, Qt bootstrap, cloth simulation, or engine handoff has completed acceptance.

• Marvelous Designer adapter repository: source of truth for installation, compatibility, host-specific capabilities, and troubleshooting.
• All AI + DCC control guides: return to every public application and pipeline integration.
• Agent workflow: shared discovery, call, validation, and diagnostic steps.

This page owns the shared Agent workflow and GEO entry point. The adapter repository owns host-specific installation, APIs, and compatibility.