# Aseprite

> Use this tool when you need to automate and streamline pixel art editing tasks in Aseprite, solving problems such as batch processing and custom workflow creation. It provides 43 tools across various categories, taking Lua scripts as input and generating pixel-perfect artwork as output. Ideal for use in graphics design, game development, and animation contexts where efficient and precise editing is required.

Canonical page: https://skillsregistry.net/skills/ayigityol-aseprite  
JSON: https://api.skillsregistry.net/v1/skills/ayigityol-aseprite

## Description

MCP server for Aseprite pixel art editor providing 43 tools across 11 categories including sprites, layers, frames, tags, drawing, transforms, palette, cels, export, slices, and utilities. Generates Lua scripts executed via Aseprite's headless CLI with native brush support for thick strokes and Bresenham/midpoint algorithms for pixel-perfect thin lines. Includes Docker support, 74 unit tests, and Lua injection prevention.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

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

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