Dcc Mcp Openusd

Agent workflow

AI agents should use the shared gateway through dcc-mcp-cli; IDE users may continue to use the MCP endpoint. Prefer typed skills and tools over raw scripts.

Install or update the CLI

dcc-mcp-cli is the preferred control path for every shell-capable agent. If it is missing, ask the user before installing the latest official release:

# Linux/macOS
curl -fsSL https://raw.githubusercontent.com/dcc-mcp/dcc-mcp-core/main/scripts/install-cli.sh | sh

# Windows PowerShell
powershell -ExecutionPolicy Bypass -c "irm https://raw.githubusercontent.com/dcc-mcp/dcc-mcp-core/main/scripts/install-cli.ps1 | iex"

Keep an official build current through the release manifest:

dcc-mcp-cli update check
dcc-mcp-cli update apply

update apply downloads and stages the latest CLI for the next launch. It does not update a running dcc-mcp-server; update that server in its own environment.

dcc-mcp-cli dcc-types
dcc-mcp-cli list
dcc-mcp-cli search --query "<task>" --dcc-type openusd
dcc-mcp-cli describe <tool-slug>
dcc-mcp-cli call <tool-slug> --json '{"key":"value"}'

dcc-types reports release-catalog support; list reports live sessions. If a tool belongs to an inactive progressive skill, call dcc-mcp-cli load-skill <skill-name> --dcc-type openusd before retrying. For post-task improvement, attach a stable session id with --meta-json, query dcc-mcp-cli stats --range 24h --session-id <task-id>, then pass the bounded evidence to the review_skill_improvement prompt from dcc-mcp-skills-creator.

OpenUSD adapter and skills for the DCC Model Context Protocol ecosystem.

dcc-mcp-openusd runs a headless OpenUSD-oriented MCP server that can create portable USD project folders, author simple stages, add references, validate stages, and package USDZ-like archives. It is designed to plug into the dcc-mcp-core gateway and skills-first workflow.

Install

pip install dcc-mcp-openusd

This release train requires dcc-mcp-core>=0.19.45.

The base install operates in text-fallback mode: it reads and writes USDA text without requiring the Pixar USD runtime. This mode is suitable for lightweight agents, CI gates, and environments where native USD libraries are unavailable.

The base install operates in text-fallback mode: it reads and writes USDA text without requiring the Pixar USD runtime. This mode is suitable for lightweight agents, CI gates, and environments where native USD libraries are unavailable.

For full OpenUSD runtime behavior, install the optional Pixar USD bindings:

pip install "dcc-mcp-openusd[openusd]"

The [openusd] extra pulls in usd-core>=24.11 (the Pixar open-source USD Python bindings, importable as pxr). With pxr installed, all stage authoring, material binding, camera/light definition, time-sampled animation, and composition-arc operations go through the native USD runtime.

Runtime mode detection

from dcc_mcp_openusd.runtime import detect_runtime

runtime = detect_runtime()
print(runtime.has_pxr)   # True when pxr is installed
print(runtime.version)   # e.g. "24.11"

Every public function returns a "runtime" field in its result dict — "pxr" when the native runtime was used, "text-fallback" otherwise.

Feature boundary

Feature	Text-fallback	pxr runtime
create_stage, create_project	USDA text	Native Usd.Stage
list_stage, define_xform, define_prim	USDA parse + insert	Native API
add_reference, set_xform_ops	USDA text	Native API
validate_stage, snapshot_stage, package_usdz	USDA checks	Native validation
Material binding (UsdShade)	—	Requires pxr
Camera / Light (UsdGeomCamera, UsdLux)	—	Requires pxr
Time-sampled animation	—	Requires pxr
Sublayer / payload composition	—	Requires pxr

Advanced features that cannot be expressed through text-fallback raise OpenUsdError("... requires the Pixar USD (pxr) package. Install it with: pip install usd-core") when pxr is absent.

Run

dcc-mcp-openusd

The instance uses an OS-assigned direct port. Connect through the stable local gateway, or discover the exact direct URL with dcc-mcp-cli list:

http://127.0.0.1:9765/mcp

Bundled Skills

The package ships seven bundled skills:

Skill	Purpose
openusd-project	Create self-contained project folders and snapshots.
openusd-stage	Create stages, list prims, define xforms, set xform ops, modify stage metadata, and add references.
openusd-validate	Validate stage invariants and package a USDZ-style archive.
openusd-material	Create UsdShadeMaterial prims, attach UsdPreviewSurface shaders, and bind materials to geometry.
openusd-light-camera	Create cameras (UsdGeomCamera) and lights (DistantLight, SphereLight) with transforms.
openusd-animation	Set stage time codes and author translate/rotate/scale time samples.
openusd-composition	Add sublayers, payloads, variant sets, and variant selections for multi-layer scenes.

Agents should follow the normal DCC-MCP flow:

1. search_skills(query="openusd stage")
2. load_skill("openusd-stage")
3. Call a typed tool such as openusd_stage__create_stage
4. Validate with openusd_validate__validate_stage

Scope

This repository is intentionally an adapter/domain-skill package, not a new core USD engine. dcc-mcp-core remains the shared transport, gateway, validation, telemetry, and skill-loading foundation. This package owns OpenUSD-specific project semantics, stage authoring tools, validation policy, and packaging workflows.

Development

# Minimal setup (text-fallback, fast CI gate)
pip install -e ".[dev]"
pytest tests/ --ignore=tests/e2e

# Full setup (pxr runtime, material/light/animation/composition tests)
pip install -e ".[dev,openusd]"
pytest tests/e2e/ -v
ruff check src tests tools
python -m build

The CI matrix enforces both modes:

• test-minimal — no pxr, runs unit tests + contract test (text-fallback baseline)
• test-openusd — with pxr, runs the e2e golden-path suite

Release

The repository uses release-please. The baseline version is 0.0.0 so the first release PR will cut v0.1.0. PyPI publishing is wired through the pypi GitHub environment.