# blender_fleet

> blender_fleet — kiet1308-blender-headless-fleet. Use this tool when you need to process multiple 3D modeling tasks concurrently, leveraging headless Blender workers to streamline workflows and improve productivity. It solves problems of scalability and efficiency in 3D modeling by allowing isolated job submissions with tracked outputs, logs, and status. Ideal for use cases requiring high-volume 3D rendering, modeling, or animation tasks with precise control over job management and output.

Canonical page: https://skillsregistry.net/skills/kiet1308-blender-headless-fleet  
JSON: https://api.skillsregistry.net/v1/skills/kiet1308-blender-headless-fleet

## Description

Enables multiple AI agents to concurrently submit isolated 3D modeling jobs to headless Blender workers, with per-job outputs, logs, and status tracking.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b1dqm5l1yx)
- **Repository:** <https://github.com/Kiet1308/blender-headless-fleet>

## 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": "kiet1308-blender-headless-fleet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kiet1308-blender-headless-fleet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kiet1308-blender-headless-fleet/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