# Desktop Image Manager

> Use this tool when you need to manage and manipulate local desktop images, as it solves problems such as organizing and optimizing image files by providing capabilities for counting, retrieving, and compressing images through a standardized interface. It takes image files as input and outputs compressed images, filenames, and file counts. Use it when interacting with user desktop directories is required, enabling AI assistants to directly process and optimize images.

Canonical page: https://skillsregistry.net/skills/desktop-image-manager  
JSON: https://api.skillsregistry.net/v1/skills/desktop-image-manager

## Description

Desktop Image Manager MCP provides tools for managing and manipulating images on the local desktop, with capabilities for counting image files, retrieving filenames, and compressing images. Built with TypeScript and leveraging the Sharp library for image processing, it enables AI assistants to directly interact with image files in the user's desktop directory through a standardized interface.

## Trust

- **Trust score (0–1):** 1.00
- **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/desktop-image-manager)
- **Repository:** <https://github.com/zhixiaoqiang/desktop-image-manager-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": "desktop-image-manager"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/desktop-image-manager` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/desktop-image-manager/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