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ahujasid/blender-mcp

by Various

🐍 - MCP server for working with Blender

MCP

ahujasid/blender-mcp

Added 1 June 2026

Overview

A Model Context Protocol (MCP) server that exposes Blender's Python API to LLMs and AI agents. Enables programmatic control of Blender scenes, objects, and rendering through a standardized interface without direct GUI interaction.

Best for

Best for
Developers building AI agents that need to generate or modify 3D content in Blender programmatically

Use cases

  • Automating 3D scene generation and asset manipulation from text prompts
  • Integrating Blender workflows into AI agent pipelines
  • Scripting complex modeling and rendering tasks via LLM commands

How to use

Install

uvx blender-mcp install-addon

Tools exposed

  • BLENDER_HOST
  • BLENDER_PORT
  • BLENDER_MCP_SAFE_MODE
  • BLENDERMCP_SKETCHFAB_API_KEY
  • BLENDERMCP_POLYPIZZA_API_KEY
  • BLENDERMCP_HYPER3D_API_KEY
  • BLENDERMCP_HUNYUAN3D_SECRET_ID
  • BLENDERMCP_HUNYUAN3D_SECRET_KEY
  • BLENDERMCP_HUNYUAN3D_API_URL

Tested with

Claude Desktop, Claude Code, Cursor, VS Code

Notes

A Model Context Protocol (MCP) server that exposes Blender’s Python API to LLMs and AI agents. Enables programmatic control of Blender scenes, objects, and rendering through a standardized interface without direct GUI interaction.

22,223 stars on GitHub. Last updated 2026-01-23. Licensed MIT.

Use cases

  • Automating 3D scene generation and asset manipulation from text prompts
  • Integrating Blender workflows into AI agent pipelines
  • Scripting complex modeling and rendering tasks via LLM commands

Pros

  • Bridges Blender and LLM ecosystems through standard MCP protocol
  • Leverages Blender’s full Python API surface
  • Active community project with significant GitHub engagement

Cons

  • Requires Blender installation and Python environment setup
  • LLM reliability for complex 3D operations remains unproven at scale
  • Limited documentation on supported Blender versions and API coverage

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Bridges Blender and LLM ecosystems through standard MCP protocol
  • Leverages Blender's full Python API surface
  • Active community project with significant GitHub engagement

Cons

  • Requires Blender installation and Python environment setup
  • LLM reliability for complex 3D operations remains unproven at scale
  • Limited documentation on supported Blender versions and API coverage

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