# blender-mcp-synthgen

> blender-mcp-synthgen — scott-createplay-blender-mcp-synthgen. Use this tool when you need to generate synthetic 3D data in Blender, leveraging procedural methods and node graph authoring to create customized scenes. It solves problems related to data scarcity and variability, providing 33 grounded tools for efficient data generation and schema verification. Ideal for use cases requiring large datasets or specific scene configurations, this tool streamlines the data creation process with parameter sweeps and scene-graph traversal capabilities.

Canonical page: https://skillsregistry.net/skills/scott-createplay-blender-mcp-synthgen  
JSON: https://api.skillsregistry.net/v1/skills/scott-createplay-blender-mcp-synthgen

## Description

MCP server for procedural 3D synthetic-data generation in Blender, providing 33 grounded tools for node graph authoring, scene-graph traversal, and parameter sweeps with schema verification.

## Trust

- **Trust score (0–1):** 0.67
- **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/eg52psqshd)
- **Repository:** <https://github.com/scott-createplay/blender-mcp-synthgen>

## 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": "scott-createplay-blender-mcp-synthgen"
    }
  }
}
```

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