# Blender Open MCP

> Use this tool when you need to control Blender with natural language prompts, enabling tasks like 3D modeling and rendering through integration with local AI models. It solves problems like manual modeling and material application, allowing for efficient creation and modification of 3D objects. With inputs like text prompts and outputs like rendered images, use Blender Open MCP in contexts where streamlined 3D content creation is required.

Canonical page: https://skillsregistry.net/skills/dhakalnirajan-blender  
JSON: https://api.skillsregistry.net/v1/skills/dhakalnirajan-blender

## Description

Blender Open MCP is a server implementation that integrates Blender with local AI models via Ollama using the Model Context Protocol. Developed by Nirajan Dhakal, it enables controlling Blender through natural language prompts, allowing users to perform 3D modeling tasks like creating primitives, modifying objects, applying materials, and rendering images. The server includes optional PolyHaven integration for downloading and using assets directly within Blender, and features a Blender add-on that provides a user interface for seamless communication between the AI model and the 3D software.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dhakalnirajan-blender)
- **Repository:** <https://github.com/dhakalnirajan/blender-open-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": "dhakalnirajan-blender"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dhakalnirajan-blender` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dhakalnirajan-blender/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