# Piskel

> Use this tool when you need to create and manipulate pixel art for game development, icon creation, or art generation, as it provides comprehensive tools for project management, drawing, and animation. It accepts inputs such as pixel art specifications and outputs PNG, GIF, and sprite sheet formats. Ideal for use cases requiring customizable, frame-based pixel art workflows with multi-frame management and export capabilities.

Canonical page: https://skillsregistry.net/skills/gh-yafeiaa-piskel  
JSON: https://api.skillsregistry.net/v1/skills/gh-yafeiaa-piskel

## Description

Piskel MCP Server enables AI agents to create and manipulate pixel art through the Model Context Protocol. Based on the Piskel pixel art editor, the server provides comprehensive tools for project management, layer operations, frame manipulation, and drawing primitives (pixels, lines, rectangles, circles, flood fill). Supports animation workflows with multi-frame management and exports to PNG, GIF, and sprite sheet formats. Ideal for game development, icon creation, and pixel art generation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-21

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-yafeiaa-piskel)
- **Repository:** <https://github.com/yafeiaa/piskel-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": "gh-yafeiaa-piskel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-yafeiaa-piskel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-yafeiaa-piskel/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