# blender-mcp-bridge

> Use this tool when you need to control Blender using natural language commands, enabling scene manipulation, object creation, and Python execution via Claude. It solves the problem of complex Blender interactions by converting MCP JSON-RPC calls to Blender's custom TCP protocol. This bridge provides a user-friendly interface for AI agents to input natural language commands and output customized 3D scenes and objects in Blender.

Canonical page: https://skillsregistry.net/skills/otinori-blender-mcp-bridge  
JSON: https://api.skillsregistry.net/v1/skills/otinori-blender-mcp-bridge

## Description

Enables natural language control of Blender via Claude by converting MCP JSON-RPC calls to Blender's custom TCP protocol for scene manipulation, object creation, and Python execution.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ipc7d2199u)
- **Repository:** <https://github.com/otinori/blender-mcp-bridge>

## 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": "otinori-blender-mcp-bridge"
    }
  }
}
```

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