# lorem-mcp

> lorem-mcp — mukundakatta-lorem-mcp. Use this tool when you need to generate filler text for testing, prototyping, or content creation purposes. The lorem-mcp tool solves problems related to placeholder text generation, providing outputs in paragraphs, sentences, or words, and accepts input parameters to customize the output. It is ideal for use cases where dummy text is required, such as web development, writing, and design projects.

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

## Description

MCP server: generate lorem ipsum filler text by paragraphs, sentences, or words.

## Trust

- **Trust score (0–1):** 0.95
- **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/MukundaKatta/lorem-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": "mukundakatta-lorem-mcp"
    }
  }
}
```

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