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houdini-render

Pipeline skill — viewport capture/flipbook plus ROP render settings and render execution through typed, runtime-aware tools. Exports report written_files, elapsed time, and warnings without hanging the host. Pair with houdini-camera-light to set up cameras and lights first.

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Overview

Install command

npx skills add https://github.com/loonghao/dcc-mcp-houdini --skill houdini-render

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Source

loonghao/dcc-mcp-houdini

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UpdatedMay 30, 2026 at 04:11

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SKILL.md

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name	houdini-render
description	Pipeline skill — viewport capture/flipbook plus ROP render settings and render execution through typed, runtime-aware tools. Exports report written_files, elapsed time, and warnings without hanging the host. Pair with houdini-camera-light to set up cameras and lights first.
license	MIT
compatibility	dcc-mcp-houdini 0.1+, Houdini 20.5+, dcc-mcp-core 0.17+
allowed-tools	Bash Read Write Edit
metadata	{"dcc-mcp":{"dcc":"houdini","layer":"domain","stage":"pipeline","version":"1.0.0","tags":["houdini","render","rop","karma","mantra","viewport","flipbook","capture","pipeline"],"search-hint":"render rop karma mantra viewport capture flipbook screenshot render settings resolution output","tools":"tools.yaml"}}

houdini-render

Typed render and visual-verification tools. All tools are affinity: main. Viewport tools are UI-aware: in a headless hython session they return a structured warnings payload with captured: false instead of failing, so an agent can detect and skip cleanly when rendering is unavailable.

Tool groups

viewport: capture_viewport (single frame), flipbook (range). Both clamp resolution to 4096 and return written_files / skipped / warnings.
render: get_render_settings (read-only), set_render_settings (reports unsupported fields per ROP type), render_rop (async, long timeout, reports elapsed_secs + written_files).

Tracer-bullet flow

houdini_camera_light__create_camera(name="rendercam")
set_render_settings(rop_path="/out/mantra1", camera="/obj/rendercam", resolution=[1280,720], output_path="/tmp/beauty.exr")
get_render_settings("/out/mantra1") → verify
capture_viewport(output_path="/tmp/preview.jpg") for a quick look (UI only)
render_rop("/out/mantra1", frame_range=[1,1]) → written_files, elapsed_secs

render_rop is async with a 30-minute timeout hint; output-path and resolution parameter writes are defensive (candidate names) so Mantra, Karma, and ROP geometry/USD drivers are all tolerated.

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Pipeline skill — generic, adapter-owned project and shot/package automation: set/query the project root, tag and read portable asset metadata, validate a scene for missing files / bad output dirs / dirty state / cook errors, collect file dependencies into a manifest (no copying), and export a shot/package manifest (frame range, cameras, output nodes, caches, written files). No dependency on private production services.

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houdini-camera-light

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Authoring skill — lookdev and shader-network operations: inspect materials, libraries, shader nodes and assignments; get/set shader parameters with type-aware validation; inspect and rewire shader connections; reset assignments; and manage adapter-owned material presets. Pair with houdini-materials for material creation/assignment.

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Interchange skill — load-on-demand import/export of Houdini geometry and scenes through production formats (native bgeo/geo, OBJ, Alembic, FBX, USD) plus filesystem probing. Use these typed tools instead of hand-building ROP/LOP/SOP networks with raw scripts.

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houdini-automation

loonghao/dcc-mcp-houdini

Pipeline skill - run file-based Houdini Python automation, manage hip files, set timeline ranges, and build small node chains from structured specs. Use when orchestrating repeatable Houdini tasks. Not for inspecting a scene only.

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Source

loonghao

loonghao/dcc-mcp-houdini

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Software DevelopersComputer and Mathematical Occupations15-1252L4

name	houdini-render
description	Pipeline skill — viewport capture/flipbook plus ROP render settings and render execution through typed, runtime-aware tools. Exports report written_files, elapsed time, and warnings without hanging the host. Pair with houdini-camera-light to set up cameras and lights first.
license	MIT
compatibility	dcc-mcp-houdini 0.1+, Houdini 20.5+, dcc-mcp-core 0.17+
allowed-tools	Bash Read Write Edit
metadata	{"dcc-mcp":{"dcc":"houdini","layer":"domain","stage":"pipeline","version":"1.0.0","tags":["houdini","render","rop","karma","mantra","viewport","flipbook","capture","pipeline"],"search-hint":"render rop karma mantra viewport capture flipbook screenshot render settings resolution output","tools":"tools.yaml"}}

houdini-render

Tool groups

viewport: capture_viewport (single frame), flipbook (range). Both clamp resolution to 4096 and return written_files / skipped / warnings.
render: get_render_settings (read-only), set_render_settings (reports unsupported fields per ROP type), render_rop (async, long timeout, reports elapsed_secs + written_files).

Tracer-bullet flow

houdini_camera_light__create_camera(name="rendercam")
set_render_settings(rop_path="/out/mantra1", camera="/obj/rendercam", resolution=[1280,720], output_path="/tmp/beauty.exr")
get_render_settings("/out/mantra1") → verify
capture_viewport(output_path="/tmp/preview.jpg") for a quick look (UI only)
render_rop("/out/mantra1", frame_range=[1,1]) → written_files, elapsed_secs

render_rop is async with a 30-minute timeout hint; output-path and resolution parameter writes are defensive (candidate names) so Mantra, Karma, and ROP geometry/USD drivers are all tolerated.