dcc-mcp-marmoset

Typed DCC-MCP control for Marmoset Toolbag 4.03+ and 5.x. A pure-Python Toolbag plugin executes mset calls on mset.callbacks.onPeriodicUpdate; an external DccServerBase process owns MCP, discovery, jobs, and gateway registration.

Showcase

The adapter reconstructed Poly Haven's Dirty Football in a live Toolbag 5.02 session: FBX import, explicit Albedo/Normal/Roughness/Metalness/Occlusion assignment, exact-object framing, missing-reference validation, scene save, and 1920x1080 camera render. See the source and validation record.

Related MCP server: dcc-mcp-fpt

Install

python -m pip install dcc-mcp-marmoset

In Toolbag, choose Edit > Plugins > Show User Plugin Folder and copy that folder path. Review a non-mutating install plan with the exact Toolbag binary, external interpreter, and copied plugin folder, then execute it:

dcc-mcp-marmoset install --json --dry-run `
  --dcc-path "C:\absolute\path\to\toolbag.exe" `
  --python "$((Get-Command python).Source)" `
  --plugin-dir "C:\path\shown\by\Toolbag"
dcc-mcp-marmoset install --json --yes `
  --dcc-path "C:\absolute\path\to\toolbag.exe" `
  --python "$((Get-Command python).Source)" `
  --plugin-dir "C:\path\shown\by\Toolbag"

Choose Edit > Plugins > Refresh, then launch DCC-MCP. The plugin starts one host-bound adapter process per Toolbag process; relaunching the plugin reuses that runtime. Toolbag requires one visible plugin window to keep callbacks alive, so the adapter uses one compact status window with the connection state, Toolbag version, loopback port, and stop control. Closing it stops the plugin. Run dcc-mcp-marmoset verify --json to prove the typed bridge ping; installed files alone are not readiness. See install.md for status, upgrade, receipt-driven uninstall, rollback, and troubleshooting.

Agent workflow

Shell-capable agents use the shared CLI:

dcc-mcp-cli list
dcc-mcp-cli search --query "inspect Toolbag scene" --dcc-type marmoset
dcc-mcp-cli load-skill marmoset-scene --dcc-type marmoset
dcc-mcp-cli search --query "inspect Toolbag scene" --dcc-type marmoset
dcc-mcp-cli describe <tool-slug>
dcc-mcp-cli call <tool-slug> --json '{"max_objects":500}'

Use the exact slugs returned by search. IDE-only clients may connect to the gateway MCP endpoint at http://127.0.0.1:9765/mcp.

Bundled Skills

• marmoset-scene — inspect/import/save scenes, assign explicit PBR maps, control visibility, and render cameras.

• marmoset-lookdev — inspect material slots and frame a hero object or the whole scene.

• marmoset-diagnostics — inspect GPU/renderer/preferences, find missing textures, release unused resources, inspect tooltip database availability, and control tooltip display.

Typed tools

• marmoset_scene__ping

• marmoset_scene__inspect_scene

• marmoset_scene__import_model

• marmoset_scene__create_pbr_material

• marmoset_scene__set_visibility

• marmoset_scene__save_scene

• marmoset_scene__render_camera

• marmoset_lookdev__inspect_materials

• marmoset_lookdev__frame_subject

• marmoset_diagnostics__inspect_runtime

• marmoset_diagnostics__validate_assets

• marmoset_diagnostics__set_display_tooltips

• marmoset_diagnostics__free_unused_resources

The adapter deliberately exposes no arbitrary Python execution. Its bridge is loopback-only, uses a per-launch random token, caps messages at 1 MiB, and expires queued requests before host mutation. Camera rendering is an async Core job backed by a monolithic Toolbag render call; check job/output state before retrying after a timeout.

Development

vx uv venv .venv --python 3.12
vx uv pip install --python .venv -e ".[dev]"
.venv\Scripts\python -m pytest
.venv\Scripts\python -m ruff check src tests tools
.venv\Scripts\python -m ruff format --check src tests tools
.venv\Scripts\python tools\lint_skills.py

The host API contract follows Marmoset's official Python scripting guide and Toolbag 5 Python API reference.