# imgcli-mcp

> Use this tool when you need to manipulate still images from the command line, converting, resizing, cropping, rotating, or applying filters to solve tasks such as image processing, formatting, and optimization. It takes image files as input and produces modified images as output, providing a lightweight alternative to ImageMagick. Ideal for automating image tasks in scripts or workflows, it offers a range of tools including convert_image, probe_image, and list_filters.

Canonical page: https://skillsregistry.net/skills/swperb-imgcli  
JSON: https://api.skillsregistry.net/v1/skills/swperb-imgcli

## Description

Convert, resize, crop, rotate, filter, and composite images from the command line — a lightweight, dependency-free, ffmpeg-style alternative to ImageMagick for still images. Wraps the imgcli CLI and exposes convert_image, probe_image, and list_filters tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yrp33xqlbl)
- **Repository:** <https://github.com/swperb/imgcli>

## 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": "swperb-imgcli"
    }
  }
}
```

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