# lorem-picsum-mcp

> lorem-picsum-mcp — ssssota-lorem-picsum-mcp. Use this tool when you need to generate placeholder images for development or testing purposes, solving problems such as adding sample visuals to websites or applications without using actual images. It takes image size and other parameters as input and outputs a placeholder image, providing a simple interface for developers. Use it in contexts where dummy images are required, such as web development, prototyping, or testing.

Canonical page: https://skillsregistry.net/skills/ssssota-lorem-picsum-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ssssota-lorem-picsum-mcp

## Description

lorem picsum.photos MCP server (unofficial). made with chapplin

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ssssota/lorem-picsum-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": "ssssota-lorem-picsum-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ssssota-lorem-picsum-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ssssota-lorem-picsum-mcp/pull`

---
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