mcp server
dcc-asset-google-scanned-objects
DCC-MCP asset-provider skill for AI agents to search and download Google Scanned Objects from Gazebo Fuel, returning CC BY usage notices for scanned 3D model workflows.
Set up
Runs on your computer. Pick your agent and operating system.
This project does not publish an install method we can turn into a config. Follow the README instead.
README
synced Oct 21, 2026DCC-MCP Google Scanned Objects
Agent workflow
AI agents should use installed package skills through the shared gateway. IDE users may continue to use the MCP endpoint.
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:
On Linux/macOS, download and inspect the installer:
curl -fL https://raw.githubusercontent.com/dcc-mcp/dcc-mcp-core/main/scripts/install-cli.sh -o install-cli.sh
cat install-cli.sh
After completing the inspection and obtaining the user's permission to install:
sh ./install-cli.sh
On Windows PowerShell, download and inspect the installer:
Invoke-WebRequest https://raw.githubusercontent.com/dcc-mcp/dcc-mcp-core/main/scripts/install-cli.ps1 -OutFile .\install-cli.ps1
Get-Content -Raw .\install-cli.ps1
After completing the inspection and obtaining the user's permission to install, run the reviewed local installer under the current execution policy:
& .\install-cli.ps1
Keep an official build current through the release manifest:
dcc-mcp-cli update check
Only after the user explicitly confirms the update:
dcc-mcp-cli update apply --yes
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.
Use --require-gateway for task calls so Gateway audit/stats records them.
This fails closed instead of falling back to direct MCP. Choose one stable
<task-id> and pass it to every tool call with --agent-session-id. This sets
_meta.agent_context.session_id; reuse the same ID in stats --session-id
after the task.
dcc-mcp-cli dcc-types
dcc-mcp-cli list
dcc-mcp-cli search --query "<task>" --dcc-type <host>
dcc-mcp-cli describe <tool-slug>
dcc-mcp-cli call <tool-slug> --require-gateway --agent-session-id "<task-id>" --json '{"key":"value"}'
If the package skill is not active, call
dcc-mcp-cli load-skill <skill-name> --dcc-type <host>. After the task,
query dcc-mcp-cli stats --range "<task-window>" --session-id "<task-id>" and pass only
bounded evidence to the review_skill_improvement prompt from
dcc-mcp-skills-creator.
Choose a supported --range covering the full task start-to-review window;
see dcc-mcp-cli stats --help.
Google Scanned Objects search and download tools for DCC-MCP.
This skill uses Gazebo Fuel's public model API for the GoogleResearch owner. It downloads the original SDF/OBJ/texture model files and does not import them into a DCC scene.
Install
dcc-mcp-cli marketplace add dcc-mcp/dcc-asset-google-scanned-objects
dcc-mcp-cli marketplace install dcc-asset-google-scanned-objects
Tools
search_google_scanned_objectslist_google_scanned_object_filesdownload_google_scanned_object
License Notes
This wrapper is MIT licensed. Google Scanned Objects are distributed through Gazebo Fuel under Creative Commons Attribution 4.0 International. Keep attribution and source metadata with downloaded assets.