# PlainMarkdown

> Use this tool when you need to extract clean and structured text from web pages, converting URLs into readable Markdown or plain text to improve language model processing efficiency. It simplifies content extraction, eliminating clutter and distractions to provide a focused data source. Ideal for use cases requiring efficient text analysis, such as data mining, research, or language model training.

Canonical page: https://skillsregistry.net/skills/plainmarkdown-markdown  
JSON: https://api.skillsregistry.net/v1/skills/plainmarkdown-markdown

## Description

Converts web page URLs into clean, structured Markdown or plain text optimized for language models. Simplifies content extraction from any website to improve readability and processing efficiency. Eliminates clutter and distractions from web content to provide a focused data source.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/plainmarkdown/markdown)

## 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": "plainmarkdown-markdown"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/plainmarkdown-markdown` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/plainmarkdown-markdown/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
