dcc-mcp-nuke
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.
See install.md for the agent-first install, verify, upgrade, and receipt-driven uninstall workflow on Windows, macOS, and Linux.
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.
Nuke loads the lifecycle-managed plug-in path 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 bounded node topology and knob values, sample per-channel AOV
statistics, and explicitly save the current script. The nuke-node-graph
skill adds non-clearing node CRUD, exact input connections, and readback-
verified static knob edits while rejecting executable knobs. 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.
Metadata
Release files for dcc-mcp-nuke 0.14.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dcc_mcp_nuke-0.14.0.tar.gz | 1.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dcc_mcp_nuke-0.14.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.6 MB
Release files / dcc_mcp_nuke-0.14.0.tar.gz
| Download URL | dcc_mcp_nuke-0.14.0.tar.gz |
|---|---|
| Size | 1.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c813c649b918713b5309dfe2aabd3ed046fec8823460ea7d627ac3932ec7e0ed
|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 25, 2026.
Transparency logRelease files / dcc_mcp_nuke-0.14.0-py3-none-any.whl
| Download URL | dcc_mcp_nuke-0.14.0-py3-none-any.whl |
|---|---|
| Size | 65.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7d1bc1bb6e24655ad0df2accd764e3bb5be0cb6d972da4869182473d78f7c6bd
|
|
BLAKE2b-256 checksum How to use checksums |
8e4e1e35572fe0ef388167d03d2fcac55ac9bbd21e75e25feb669674048d3170
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 25, 2026.
Transparency log