Communitygithub.com

BlenderMCP로 MCP 에이전트에서 Blender 장면 제어

MCP 지원 에이전트가 제어된 Blender 브리지를 통해 Blender 장면을 검사, 생성 및 수정해야 할 때 BlenderMCP를 사용하세요.

BlenderMCP로 MCP 에이전트에서 Blender 장면 제어란 무엇인가요?

이 기술은 MCP(Model Context Protocol)를 지원하는 AI 에이전트(예: Claude Desktop 및 기타 MCP 호스트)가 BlenderMCP 애드온을 통해 Blender 3D 장면을 직접 제어할 수 있게 해줍니다. 에이전트가 Blender에서 기존 장면을 검사하고, 새 객체를 생성하며, 재질, 조명 및 애니메이션을 수정할 수 있습니다. 이 기술은 Blender 3.0 이상, Python 3.10 이상, uv/uvx 패키지 관리자, 그리고 BlenderMCP Blender 애드온을 필요로 합니다. 에이전트는 `uvx blender-mcp` 명령어로 MCP 서버를 실행하고, Blender에서 애드온을 활성화한 후 연결하면 BlenderMCP를 통해 장면 작업을 수행할 수 있습니다. 이는 3D 모델링 및 렌더링 워크플로우를 자동화하고, AI 기반 디자인 생성 및 장면 관리를 가능하게 하는 강력한 도구입니다. 공식 저장소(https://github.com/MCPBlender/blender-mcp)와 문서(https://blendermcp.org)에서 자세한 내용을 확인할 수 있습니다.

지원 대상✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/control-blender-scenes-from-mcp-agents-with-blendermcp

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

BlenderMCP로 MCP 에이전트에서 Blender 장면 제어은(는) 무엇을 하나요?

MCP 지원 에이전트가 제어된 Blender 브리지를 통해 Blender 장면을 검사, 생성 및 수정해야 할 때 BlenderMCP를 사용하세요.

사전 요구 사항

Blender 3.0+, Python 3.10+, uv/uvx, BlenderMCP Blender 애드온, 그리고 Claude Desktop 또는 다른 MCP 호스트와 같은 MCP 지원 클라이언트.

설치

소스 기반 지침에 따라 설치 또는 설정:

신뢰할 수 있는 패키지 관리자에서 uv를 설치하고, uvx blender-mcp를 실행하는 MCP 서버 항목을 추가하고, BlenderMCP 저장소에서 업스트림 Blender 애드온을 설치한 후 Blender를 열고, 애드온을 활성화하고, 연결(Connect)을 클릭한 다음 MCP 클라이언트를 사용하여 장면을 조작하세요.

문서

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

관련 스킬