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DimensionBlender Open MCPControl Blender 3D with natural language via local AI modelsGitHub MCP ServerGitHub's official MCP server for managing repos, issues, PRs, and workflows via natural language
FMRS40 / 100 · D76 / 100 · B
Reliability6 / 2013 / 20
Security and permissions3 / 2014 / 20
Maintenance6 / 2018 / 20
Documentation13 / 2017 / 20
Setup experience12 / 2014 / 20
Best for
  • 3D artists who want to control Blender with local AI models
  • Developers who need to automate 3D workflows
  • Users integrating with Claude Desktop or Cursor for AI-assisted modeling
  • Teams that want an AI assistant to directly operate on GitHub repos and collaboration workflows
  • Users already in the GitHub Copilot ecosystem who want a zero-deployment remote option
Not for
  • Users without local Ollama or ability to run local LLMs
  • Users needing cloud AI services (since it uses local models)
  • Users unfamiliar with Blender add-on installation
  • Users requiring official support (non-official project)
  • Scenarios where you don't want the assistant to have write access to repos (enable only read-only toolsets)
  • Environments with strict network isolation for private repos that can't reach the official remote endpoint
Required permissions
  • Can read and modify Blender scene (objects, materials, transforms)
  • Can execute arbitrary Python/bpy code via blender_execute_code
  • Can delete objects via blender_delete_object
  • Can render images to files
  • Can access internet to download PolyHaven assets
  • Can access local models via Ollama
  • Requires network ports (8000, 9876, 11434)
  • A personal access token (PAT) or OAuth App token; effective scope depends on the token's own permissions
  • Enabling toolsets like actions/issues/pull_requests grants write access — request tokens on a least-privilege basis
Risks and side effects
  • Executing arbitrary code may corrupt scenes or systems if given malicious prompts
  • Deleting objects is irreversible and may lose work
  • PolyHaven downloads require internet and may fail
  • Local LLM may generate inaccurate code; review before execution
  • Non-official project may have bugs or security vulnerabilities
  • Write toolsets (creating/merging PRs, triggering workflows) can cause accidental changes if the token is overscoped — try a read-only toolset first
  • In hosted mode, credentials travel via the Authorization header — make sure the client-to-api.githubcopilot.com connection is trusted
Supported clientsClaude Desktop, CursorClaude Desktop, Claude Code, VS Code, Cursor, Windsurf, JetBrains IDEs, Zed, Amp
Tools1615