# blender-lab-mcp-client

> blender-lab-mcp-client — a-to-pc-blender-lab-mcp-client. Use this tool when you need to integrate Blender with external applications or automate tasks, as it provides a server that connects to the Blender Lab add-on, exposing 27 tools for scene manipulation and other functions. It solves problems related to scene editing, object manipulation, and rendering by allowing external control through the add-on's wire protocol. It accepts input from the Blender Lab add-on and outputs manipulated scene data, making it ideal for use cases that require automated or remote control of Blender scenes.

Canonical page: https://skillsregistry.net/skills/a-to-pc-blender-lab-mcp-client  
JSON: https://api.skillsregistry.net/v1/skills/a-to-pc-blender-lab-mcp-client

## Description

MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x14yvj6heb)
- **Repository:** <https://github.com/A-to-PC/blender-lab-mcp-client>

## 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": "a-to-pc-blender-lab-mcp-client"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/a-to-pc-blender-lab-mcp-client` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/a-to-pc-blender-lab-mcp-client/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