# BlenderMCP

> Use this tool when you need to streamline AI-assisted 3D modeling and scene creation, connecting Claude AI to Blender for enhanced material control and object manipulation. It solves problems of manual modeling and texture creation, enabling efficient integration with Poly Haven assets and Hyper3D for AI-generated models. Ideal for use cases requiring rapid prototyping, architecture visualization, and product design, with inputs including 3D models and scene descriptions, and outputs including manipulated 3D scenes and models.

Canonical page: https://skillsregistry.net/skills/spranjal3301-final-year-project  
JSON: https://api.skillsregistry.net/v1/skills/spranjal3301-final-year-project

## Description

Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, material control, and object manipulation. Supports integration with Poly Haven assets and Hyper3D for AI-generated models.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fx8s1dn35a)
- **Repository:** <https://github.com/spranjal3301/final-year-project>

## 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": "spranjal3301-final-year-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spranjal3301-final-year-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spranjal3301-final-year-project/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