Skip to content
Conduit

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, 2026

DCC-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_objects
  • list_google_scanned_object_files
  • download_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.

↑↓ navigate openesc close