# mcp-lorem

> mcp-lorem — pipeworx-io-mcp-lorem. Use this tool when you need to generate placeholder text for testing or demo purposes, as it provides a simple way to fetch lorem ipsum text from loripsum.net. It solves the problem of manually creating or searching for placeholder content, saving time and effort. The tool takes input in the form of a request and outputs generated lorem ipsum text, making it a convenient solution for developers and designers.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-lorem  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-lorem

## Description

MCP server for lorem ipsum placeholder text via loripsum.net

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-lorem)

## 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": "pipeworx-io-mcp-lorem"
    }
  }
}
```

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