# mcp-blender-server

> Use this tool when you need to integrate 3D modeling capabilities with AI agents, enabling seamless interaction between Blender and OpenClaw AI agents for tasks like 3D content generation and simulation. It solves problems related to automated 3D modeling, animation, and rendering by providing a Python-based interface for inputting models, scenes, and commands, and outputting rendered images, animations, and 3D data. Ideal for use cases involving AI-driven 3D content creation, robotics, and computer vision applications.

Canonical page: https://skillsregistry.net/skills/tinhtinhcd-mcp-blender-server  
JSON: https://api.skillsregistry.net/v1/skills/tinhtinhcd-mcp-blender-server

## Description

A Python-based MCP server for integrating Blender and 3D modeling capabilities with OpenClaw AI agents.

## Trust

- **Trust score (0–1):** 0.26
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/apfoehhsgi)
- **Repository:** <https://github.com/tinhtinhcd/mcp-blender-server>

## 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": "tinhtinhcd-mcp-blender-server"
    }
  }
}
```

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

---
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