dcc-mcp-substance3d-painter
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@dcc-mcp-substance3d-painterExport all texture sets using the 'Default' preset."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
dcc-mcp-substance3d-painter
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 applyupdate 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 substance3d_painter
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 substance3d_painter 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.
Substance 3D Painter adapter for the DCC Model Context Protocol (MCP).
It embeds a Streamable HTTP MCP server in Painter and routes host API calls through Painter's Qt main thread. Painter uses an OS-assigned port by default and advertises the endpoint through DCC-MCP discovery.
Related MCP server: Marmoset Toolbag 5 MCP Server
Install and load
Use the agent-first lifecycle for preflight, a non-mutating plan, receipted installation, live verification, upgrades, and uninstall. See install.md for exact Windows, macOS, and Linux commands and the manual environment path.
The lifecycle uses the released Core 0.20.15 Install SOP contract. Readiness is fail-closed unless the registry, independently observed process identity, and in-host diagnostics all bind the same Painter executable, start identity, process-owned loopback listener, adapter payload, and receipt. CI uses hermetic identity/probe fixtures; it does not claim to validate a real Adobe Painter launch.
Set DCC_MCP_SUBSTANCE3D_PAINTER_PORT before launching Painter only when a
fixed port is required; 0 keeps automatic allocation. Standard
DCC_MCP_GATEWAY_PORT and DCC_MCP_REGISTRY_DIR settings are also honoured.
Bundled skills
painter-project provides typed tools for a complete material-authoring pass,
plus execute_materialized_script for an unchanged Python FileRef returned by
Core materialize_script:
inspect the project and texture sets;
create PBR fill layers;
search Painter resources and apply smart materials;
list export presets, save the
.spp, and export textures.
The tools use Painter resource and preset URLs supplied by Painter itself. They
do not expose raw JavaScript, inline source, caller-selected paths, execution
modes, or UI automation. A materialized FileRef is an integrity envelope, not a
trust decision or a Python security sandbox: only materialize source that is
trusted to run with the current Painter process privileges. Reflective code or
background work intended to outlive the fixed request lifecycle is outside the
supported contract. The materialized-script executor validates Core's
scoped sidecar, file identity, digest, size, encoding, and expiry before the
fixed main() entry point reaches Painter's main thread. It repeats the full
FileRef check immediately before dispatch, clones and invokes the validated
function with its prefix globals through a host callable captured before source
entry, snapshots its strict JSON result when valid, and executes suffix source
exactly once after every source-entered main() attempt in a quarantined
side-effect phase. Direct json imports and executor-module imports resolve to
request-private JSON state. The executor import is a minimal facade with no
executor callables or canonical module state, so a retained facade cannot regain
host globals after return. Prefix or suffix rebinding cannot change the captured
entrypoint behavior or result, and suffix failures do not clobber the main
outcome (including a stable rejection for invalid results).
The suffix is side-effect-only: a main() that requires a helper, import, or
mutable initialization introduced only by the suffix is rejected with the
stable script_suffix_dependency error, so valid scripts must define those
dependencies before main().
Cancellation remains bound to the exact host token and job captured before
source entry; the executor restores the captured host ContextVar state,
cancellation module bindings, validator alias, and canonical JSON serializer
after both source phases. These guarantees cover the fixed executor contract;
they must not be interpreted as isolation from arbitrary untrusted Python in
the same process.
Results accept only strict portable JSON: string-keyed plain objects, plain
arrays, JSON scalars, and finite numbers, with maximum depth 64, 10,000 nodes,
and 256 KiB of compact UTF-8 JSON. The byte limit covers the complete public
response, including host-owned context and postcondition fields. Validation and
normalization capabilities remain outside script-writable state. Source-entered
failures never carry retry or rematerialization guidance.
Domain skills
Alongside painter-project, the adapter bundles focused skills that map
Painter's real native primitives onto their pipeline domains:
painter-material— channel-level material authoring: read a stack's channel inventory, choose which channels a layer contributes, and write uniform channel values.painter-compositing— how a layer combines with the layers below it: visibility, opacity, blending mode, and mask state.painter-lighting— scene lighting. Painter has no light objects, so lighting is the image-based environment: environment map, exposure, and rotation.
Every mutation is confirmed by reading the value back from Painter before the tool reports success. Where Painter exposes no readback for a value, the tool says so explicitly instead of implying verification it did not perform.
Painter has no particle, dynamics, or animation system, so those domains have no
native equivalent to expose. The closest real primitives are Painter's brush
parameters and generators, and camera turntable plus texture-sequence export,
which painter-project already covers.
Development
python -m pip install -e ".[dev]"
python -m pytest
ruff check src tests tools
uv lock --check
python -m buildReleases use release-please. The release.yml workflow builds one verified
wheel/sdist bundle, publishes those exact files through the pypi environment
using Trusted Publishing, and attaches the same checksummed files to the GitHub
Release.
This server cannot be deployed
Maintenance
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