# Retro Diffusion MCP Server

> Retro Diffusion MCP Server — retro-diffusion-retro-diffusion-mcp. Use this tool when you need to generate high-quality pixel art from AI assistants, converting their outputs into grid-aligned pixels with controlled palettes and transparent backgrounds. It solves the problem of creating consistent and customizable pixel art for various projects, such as games or animations. The tool takes AI-generated images as input and produces pixel art sprites, animations, and tilesets as output, providing cost estimation at no additional cost.

Canonical page: https://skillsregistry.net/skills/retro-diffusion-retro-diffusion-mcp  
JSON: https://api.skillsregistry.net/v1/skills/retro-diffusion-retro-diffusion-mcp

## Description

Generate real pixel art — sprites, animations, and tilesets — from any MCP-capable AI assistant. Grid-aligned pixels, controlled palettes, transparent backgrounds, with cost estimation always free.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rg13nk1rt8)
- **Repository:** <https://github.com/Retro-Diffusion/retro-diffusion-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": "retro-diffusion-retro-diffusion-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/retro-diffusion-retro-diffusion-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/retro-diffusion-retro-diffusion-mcp/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