Foundation library for the DCC Model Context Protocol (MCP) ecosystem. Provides Rust-powered action management, skills system, IPC transport, MCP Streamable HTTP server (2025-03-26 spec, with 2025-06-18 and 2025-11-25 awareness), sandbox security, shared…
loonghao/dcc-mcp-core
SkillsMP has collected 18 skills from loonghao/dcc-mcp-core. Open a skill to review its source and details.
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Skills in this repository
Showing 18 of 18 collected skills.
Control live DCC hosts (Maya, Blender, Houdini, Photoshop, 3ds Max, and custom studio tools) through the dcc-mcp-cli command line. For ClawHub, OpenClaw, Cursor, Claude, and shell-capable agent hosts: verify gateway health, inventory registered DCC instances,…
Infrastructure skill - guide developers and agents through creating or modernizing a full DCC-MCP adapter for Nuke, Blender, 3ds Max, Unreal, ZBrush, Houdini, Maya, and custom studio tools. Use when building server, dispatcher, gateway, packaging, and runtime…
Infrastructure skill - create, validate, scaffold, and review DCC-MCP skills for the dcc-mcp-core ecosystem. Use when authoring SKILL.md, tools.yaml, scripts, groups, prompts, or skill taxonomy. Not for creating a full DCC-MCP adapter repository - use…
Infrastructure skill — DCC-agnostic Qt UI introspection: list top-level windows, find widgets by name/class, describe widget properties, walk the widget tree, and poll for availability. Works in any DCC with a Qt binding (Maya, Blender, Houdini, Unreal,…
Infrastructure skill - application UI observation and scoped action tools for DCC-adjacent workflows. Use app_ui__snapshot, app_ui__find, app_ui__act, and app_ui__wait_for when a host UI state is not exposed through native DCC APIs. Prefer DCC-native skills…
Infrastructure skill - DCC-agnostic media probing, transcoding, thumbnails, frame extraction, and image-sequence-to-MP4 conversion through vx-managed FFmpeg. Use when agents need to inspect or share render/playblast outputs. Not for arbitrary shell or vx…
Infrastructure skill — DCC-agnostic observability primitives: generate error reports, capture screenshots, query audit logs, inspect tool performance metrics, and monitor process health. Works in any DCC environment (Maya, Blender, Houdini, Unreal, etc.) or…
Infrastructure skill — multi-step action orchestration: run a sequence of MCP tools in order, passing results between steps. Use when chaining two or more tools into a repeatable pipeline (select → rename → validate → export). Not for single-tool operations…
Example skill — minimal greeting tool. Use only for testing remote server connectivity and skill discovery. Not for production use.
Example skill — demonstrates cooperative cancellation inside a skill script loop using check_cancelled(). Use as a reference when writing long-running domain skills that must respond to notifications/cancelled. Not intended for production use.
Infrastructure skill — DCC-agnostic observability primitives: capture screenshots, query audit logs, inspect tool performance metrics, and monitor process health. Works in any DCC environment (Maya, Blender, Houdini, Unreal, etc.) or standalone Python. Use…
Example skill — reference implementation of the **internal** layered architecture pattern (Tools / Services / Utils) for complex skills with shared business logic. Use as a template when a skill outgrows a single scripts/execute.py file. Not intended for…
Example skill — minimal greeting tool demonstrating the dcc-mcp-core skill system. Use only when testing a new skill installation or onboarding to the skill authoring workflow. Not intended for production use.
Domain skill — Maya geometry primitives: create spheres, cubes, cylinders; bevel, extrude, and merge polygon components. Use for individual geometry creation or editing operations inside Maya. Not for full asset export pipelines — use maya-pipeline for that.…
Example skill — demonstrates a skill with multiple script types (Python, Shell, Batch). Use as a reference when writing cross-platform skills. Not intended for production use — this is an authoring reference only.
Example skill — demonstrates zero-dependency JSON Schema derivation from Python dataclasses and type annotations (issue #242). Use as a reference when authoring typed handlers that should publish inputSchema / outputSchema without hand-writing JSON. Not…
Example skill — demonstrates full compatibility with the ClawHub/OpenClaw skill format. Use as a reference when creating skills for both the dcc-mcp-core ecosystem and ClawHub marketplace. Not intended for production use — this is an authoring reference only.