# Blender MCP Bridge

> Use this tool when you need to automate 3D content creation, interact with Blender's internal environment, or execute Python scripts remotely. It solves problems related to streamlining 3D modeling workflows, generating models from images, and querying scene data. The Blender MCP Bridge takes in image data and Python scripts as inputs and outputs generated 3D models and scene data, ideal for use cases involving AI-driven 3D content creation and automation.

Canonical page: https://skillsregistry.net/skills/mithran-balachander-blender-mcp-antigravity  
JSON: https://api.skillsregistry.net/v1/skills/mithran-balachander-blender-mcp-antigravity

## Description

Enables remote control of Blender via the Model Context Protocol, allowing users to execute Python scripts, query scene data, and generate 3D models from images. It provides a bridge for AI clients to interact directly with Blender's internal environment and automate 3D content creation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g96gjqvhlo)
- **Repository:** <https://github.com/MITHRAN-BALACHANDER/Blender-MCP-antigravity>

## 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": "mithran-balachander-blender-mcp-antigravity"
    }
  }
}
```

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