dcc-materialx

Agent workflow

AI agents should use installed package skills through the shared gateway. IDE users may continue to use the MCP endpoint.

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 <host>
dcc-mcp-cli describe <tool-slug>
dcc-mcp-cli call <tool-slug> --json '{"key":"value"}'

If the package skill is not active, call dcc-mcp-cli load-skill <skill-name> --dcc-type <host>. After the task, query dcc-mcp-cli stats --range 24h --session-id <task-id> and pass only bounded evidence to the review_skill_improvement prompt from dcc-mcp-skills-creator.

Portable MaterialX authoring and validation for look-development interchange across Maya, Houdini, Blender, USD/Hydra, Unreal, and renderer pipelines.

Included skill

materialx-lookdev creates a minimal Standard Surface material, validates .mtlx documents, and lists their nodes. Host adapters remain responsible for import, renderer translation, and scene assignment.

Install the official Python bindings in the adapter environment before loading:

pip install MaterialX

flowchart LR
    T[Textures] --> M[MaterialX Standard Surface]
    M --> V[Validation]
    V --> H[Hydra and USD]
    V --> D[Maya Houdini Blender Unreal]

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PyPI status: not published

This repository is an agent skill pack, not a distributable Python package. It contains no importable module under src/ — the deliverable is the set of markdown skill definitions under skill/, which agents load from the repository or the skill marketplace rather than via pip install.

It is therefore intentionally not published to PyPI, and no release workflow exists for that purpose. Tracked in PIP-3630.