# Blender 3D Modeling

> Use this tool when you need to automate 3D modeling and rendering tasks, such as creating and manipulating 3D objects, applying transformations, and exporting to various formats. It solves problems related to batch processing of 3D assets, procedural modeling, and AI-assisted design, providing inputs such as 3D models and scenes, and outputs like glTF/GLB files and point clouds. It is ideal for use cases like automated 3D content generation, computer-aided design, and virtual reality applications.

Canonical page: https://skillsregistry.net/skills/barosandu-blender-3d-modeling  
JSON: https://api.skillsregistry.net/v1/skills/barosandu-blender-3d-modeling

## Description

Blender MCP Server provides direct access to Blender's 3D modeling and rendering capabilities through a comprehensive set of tools for file management, object creation and manipulation, and export functionality. Built with FastMCP and integrating bpy (Blender Python API), mathutils for vector operations, and Open3D for point cloud processing, it enables programmatic control of Blender scenes including loading/saving .blend files, creating and positioning primitive objects, applying transformations, calculating distances between objects, and exporting to glTF/GLB formats with optional point cloud conversion. The implementation includes detailed logging and error handling, making it valuable for automated 3D content generation, batch processing of 3D assets, procedural modeling workflows, and AI-assisted 3D design tasks.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/barosandu-blender-3d-modeling)
- **Repository:** <https://github.com/barosandu/blender-mcp-yong/tree/HEAD/blender-mit-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "barosandu-blender-3d-modeling"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/barosandu-blender-3d-modeling` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/barosandu-blender-3d-modeling/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt