# Readdown

> Use this tool when you need to convert web pages to clean Markdown or process existing HTML strings into a readable format. It solves problems of web scraping, content extraction, and text processing by providing a lightweight and efficient solution. It takes URLs or HTML strings as input and outputs Markdown text with metadata and token count estimation, making it ideal for server-side applications with no browser dependency.

Canonical page: https://skillsregistry.net/skills/zcag-readdown  
JSON: https://api.skillsregistry.net/v1/skills/zcag-readdown

## Description

Fetches web pages and converts them to clean Markdown with metadata and token count estimation. Powered by the readdown library, a lightweight 5KB alternative to readability plus turndown that produces token-efficient output. Provides two tools: fetch_markdown for URL-to-Markdown conversion, and convert_html for processing existing HTML strings. Runs server-side with no browser dependency.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zcag-readdown)
- **Repository:** <https://github.com/zcag/readdown-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": "zcag-readdown"
    }
  }
}
```

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