# Blend AI

> Use this tool when you need to automate and streamline Blender workflows, solving problems such as tedious manual modeling, rendering, and animation tasks. Blend AI provides a comprehensive interface with 161 specialized tools, accepting scene data and script inputs, and outputting rendered images, animations, and edited 3D models. Use it in contexts where efficient 3D content creation, batch processing, and customized workflow automation are required.

Canonical page: https://skillsregistry.net/skills/jabberwock-blend-ai  
JSON: https://api.skillsregistry.net/v1/skills/jabberwock-blend-ai

## Description

Blend AI provides complete control over Blender through 161 specialized tools covering modeling, mesh editing, materials with shader nodes, lighting, camera operations, animation, rendering, sculpting, UV mapping, physics simulations, geometry nodes, rigging, curves, grease pencil, and viewport control. The server communicates with a zero-dependency Blender addon via TCP socket with render-aware queuing and thread-safe execution. Includes MCP resources for scene browsing and workflow prompt templates for common tasks like product shots and turntable animations.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jabberwock-blend-ai)
- **Repository:** <https://github.com/holdmybeer-gg/blend-ai>

## 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": "jabberwock-blend-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jabberwock-blend-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jabberwock-blend-ai/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