# VisualAI MCP Server

> Use this tool when you need to generate AI images locally on Apple Silicon Macs, enabling cost-effective and efficient design iteration, asset creation, and wireframe development. It solves problems related to API costs, remote processing, and slow design workflows, providing a seamless interface for conversational design and model context protocol inputs. Ideal for designers, developers, and artists seeking to leverage MLX and Stable Diffusion models for image generation without incurring API costs.

Canonical page: https://skillsregistry.net/skills/alucardeht-frame-forge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alucardeht-frame-forge-mcp

## Description

Enables local AI image generation on Apple Silicon Macs using MLX and Stable Diffusion. Supports conversational design iteration, asset generation, and wireframe creation with zero API costs through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sfzjqvsljf)
- **Repository:** <https://github.com/alucardeht/frame-forge-mcp>

## 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": "alucardeht-frame-forge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alucardeht-frame-forge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alucardeht-frame-forge-mcp/pull`

---
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
