About
Nuke adapter for the DCC Model Context Protocol ecosystem
README
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 nuke
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 nuke 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.
Nuke adapter for the DCC Model Context Protocol. It embeds a Streamable HTTP MCP server in Nuke and uses Nuke's main-thread execution API for scene tools.
Automated Houdini AOV compositing

This real Nuke session progressively isolates Albedo, Sun, Diffuse, Glossy, and Emission passes, then merges them into the approved composite. The 35-layer, 114-channel EXR source was rendered from a solar-system scene built in Houdini with dcc-mcp-houdini; Nuke reads the Houdini AOVs rather than bundled sample footage.
python -m pip install dcc-mcp-nuke
Add the installed package's dcc_mcp_nuke/nuke_plugin folder to NUKE_PATH.
Nuke loads its init.py and asks the operating system for an available instance
port. Use dcc-mcp-cli list or the stable gateway at
http://127.0.0.1:9765/mcp to discover and connect to the running instance.
Set DCC_MCP_NUKE_PORT only when a fixed direct port is required.
The bundled nuke-script skill can open an existing absolute .nk path,
inspect scripts and nodes, sample bounded per-channel AOV statistics, and
explicitly save the current script. Releases are published through
release.yaml and the GitHub pypi environment.
The nuke-node-assets skill packages reusable, versioned Gizmos with an
explicit public knob interface, instantiates saved assets, and validates live
instances. Its registered tools use DCC_MCP_NUKE_PLUGIN_ROOT, stable ids and
versions, bounded typed knobs, and reject executable callbacks.
The nuke-layered-compositing skill supports ordered global and
Cryptomatte-scoped gain, saturation, edge-feather, and bounded albedo-fill
adjustments without changing pixels outside the selected material.
Installing Dcc Mcp Nuke
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/dcc-mcp/dcc-mcp-nukeFAQ
Is Dcc Mcp Nuke MCP free?
Yes, Dcc Mcp Nuke MCP is free — one-click install via Unyly at no cost.
Does Dcc Mcp Nuke need an API key?
No, Dcc Mcp Nuke runs without API keys or environment variables.
Is Dcc Mcp Nuke hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Dcc Mcp Nuke in Claude Desktop, Claude Code or Cursor?
Open Dcc Mcp Nuke on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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