# Blender MCP Router

> Use this tool when you need to route large language model (LLM) requests through multiple providers or integrate AI-generated text with 3D scene management in Blender. It solves problems of limited LLM access and streamlines workflows by bridging text generation with 3D asset integration and automation. The tool accepts text inputs and outputs generated text, 3D scenes, and automated workflows, making it ideal for use cases requiring unified text generation and comprehensive 3D scene management.

Canonical page: https://skillsregistry.net/skills/mustafa-boorenie-blessed-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mustafa-boorenie-blessed-mcp-server

## Description

Enables LLM routing through multiple providers (OpenAI, Anthropic, xAI) via LiteLLM and provides a bridge to Blender for 3D scene management, asset integration from PolyHaven/Sketchfab, and automation workflows. Combines unified text generation with comprehensive Blender integration through a persistent TCP connection.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v3tk2zhnph)
- **Repository:** <https://github.com/mustafa-boorenie/blessed-mcp-server>

## 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": "mustafa-boorenie-blessed-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mustafa-boorenie-blessed-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mustafa-boorenie-blessed-mcp-server/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