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dcc-mcp/dcc-mcp-zbrush

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このページは AI により自動翻訳されています。技術的な詳細は原文をご確認ください。 原文を見る

10 stars 2 forks 品質 81 トレンド 28MIT

Pre-alpha ZBrush MCP adapter for AI agents to inspect high-poly meshes and subtools, manage brushes, and export OBJ assets through the DCC-MCP gateway using the official Python SDK.

概要

It is one of in the DCC-MCP catalog. Every adapter speaks the same MCP protocol and builds on the same core runtime contract; each one exposes the tools its own host needs on top of that. - All host adapters and install metadata - Host matrix on the core README - Showcase This block is generated from the catalog entry in dcc-mcp-catalog.yml. Re-run the generator after changing the catalog. 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. 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: Keep an official build current through the release manifest: 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-types reports release-catalog support; list reports live sessions.

README

以下は原文 README の抜粋です。原文を見る。

dcc-mcp-zbrush

Part of the DCC-MCP host matrix

dcc-mcp-zbrush — ZBrush adapter for DCC-MCP.

It is one of 48 host adapters in the DCC-MCP catalog. Every adapter speaks the same MCP protocol and builds on the same core runtime contract; each one exposes the tools its own host needs on top of that.

This block is generated from the catalog entry in dcc-mcp-catalog.yml. Re-run the generator after changing the catalog.

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 "" --dcc-type zbrush
dcc-mcp-cli describe 
dcc-mcp-cli call  --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 --dcc-type zbrush before retrying. For post-task improvement, attach a stable session id with --meta-json, query dcc-mcp-cli stats --range 24h --session-id , then pass the bounded evidence to the review_skill_improvement prompt from dcc-mcp-skills-creator.

GitHub で README 全文を見る

インストール

This server does not publish a one-line install command.

Open the repository installation guide MCP 初心者?mcpskill.org のガイドから始めましょう →

設定

{ "mcpServers": { "zbrush": { "url": "http://127.0.0.1:9765/mcp" } } }