# bMCP

> Use this tool when you need to automate 3D workflows, execute Python scripts, or query scene states in Blender 3D. It enables AI control through the Model Context Protocol, providing inputs for Python execution and scene queries, and outputs for automated 3D workflows. Ideal for use cases requiring streamlined 3D content creation, simulation, or rendering pipelines.

Canonical page: https://skillsregistry.net/skills/niewinny-bmcp  
JSON: https://api.skillsregistry.net/v1/skills/niewinny-bmcp

## Description

Enables AI to control Blender 3D through the Model Context Protocol, allowing Python execution, scene state queries, and automation of 3D workflows.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/dhrvdvksoq)
- **Repository:** <https://github.com/niewinny/bMCP>

## 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": "niewinny-bmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/niewinny-bmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/niewinny-bmcp/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