# Image Placeholder

> Use this tool when you need to generate placeholder images for testing and development purposes, solving the problem of manually creating or searching for temporary images. It takes image dimensions as input and outputs customizable image URLs from popular providers like placehold.co and Lorem Picsum. Ideal for developers and designers, this tool streamlines prototyping, UI testing, and development workflows with on-demand placeholder images.

Canonical page: https://skillsregistry.net/skills/husniadil-image-placeholder  
JSON: https://api.skillsregistry.net/v1/skills/husniadil-image-placeholder

## Description

This MCP Image Placeholder Server, developed by Husni Adil Makmur, provides a simple way to generate placeholder images for testing and development purposes. Built with Python and leveraging the FastMCP framework, it offers a single tool for creating image URLs from two popular providers: placehold.co and Lorem Picsum. The implementation focuses on ease of use, allowing customization of image dimensions within specified limits. By providing a standardized interface for placeholder image generation, this server enables quick integration into development workflows, prototyping, and UI testing scenarios. It's particularly useful for developers and designers who need consistent, on-demand placeholder images in their projects.

## Trust

- **Trust score (0–1):** 0.97
- **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/husniadil-image-placeholder)
- **Repository:** <https://github.com/husniadil/mcp-image-placeholder>

## 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": "husniadil-image-placeholder"
    }
  }
}
```

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