# BlenderMCP

> Use this tool when you need to streamline AI-assisted 3D modeling and scene creation in Blender, leveraging Claude AI's capabilities to automate tasks and enhance workflow. BlenderMCP solves problems related to manual modeling, material control, and Python code execution, providing a seamless interface for inputs like Model Context Protocol and outputs like generated 3D models. Ideal for use cases requiring efficient collaboration between AI and 3D modeling tools, such as architecture, product design, and video production.

Canonical page: https://skillsregistry.net/skills/johncarlo177-python-blendermcp  
JSON: https://api.skillsregistry.net/v1/skills/johncarlo177-python-blendermcp

## Description

Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, material control, and direct Python code execution in Blender. Includes integration with Poly Haven assets and Hyper3D model generation.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cznw9fd3r1)
- **Repository:** <https://github.com/johncarlo177/Python.BlenderMCP>

## 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": "johncarlo177-python-blendermcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/johncarlo177-python-blendermcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/johncarlo177-python-blendermcp/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