# Magick Convert (ImageMagick)

> Use this tool when you need to automate image processing and manipulation tasks, such as resizing, format conversion, and applying filters or effects. It provides a simple interface for executing ImageMagick commands, allowing AI assistants to leverage powerful image editing capabilities without direct command-line interaction. Ideal for developers and content creators integrating image editing into AI workflows, it accepts image files and commands as input and outputs processed images.

Canonical page: https://skillsregistry.net/skills/aroglahcim-magick-convert  
JSON: https://api.skillsregistry.net/v1/skills/aroglahcim-magick-convert

## Description

This MCP server, developed by aroglahcim, provides a bridge to ImageMagick's command-line interface. Built with Node.js and leveraging the Model Context Protocol SDK, it enables AI assistants to execute ImageMagick commands for image processing and manipulation. The implementation focuses on providing a simple, standardized interface for running ImageMagick operations through MCP. It's particularly useful for developers and content creators who want to integrate ImageMagick's powerful image editing capabilities into AI workflows, enabling use cases such as automated image resizing, format conversion, and applying filters or effects without directly managing command-line interactions.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

REST: `GET https://api.skillsregistry.net/v1/skills/aroglahcim-magick-convert` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aroglahcim-magick-convert/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