# @digidai/mcp-website2markdown

> Use this tool when you need to convert web pages to Markdown format, handling complex cases like JavaScript-heavy single-page applications, paywalled content, and international platforms. It solves problems of accessing and formatting restricted or dynamically-generated content, providing a clean and readable output. The tool takes a web page as input and outputs the equivalent Markdown content, making it ideal for web scraping, content migration, and data integration tasks.

Canonical page: https://skillsregistry.net/skills/digidai-website2markdown  
JSON: https://api.skillsregistry.net/v1/skills/digidai-website2markdown

## Description

Converts any web page to clean Markdown, handling JS-heavy SPAs, paywalled content, and Chinese platforms through a 5-layer fallback pipeline and 14 site adapters.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ss90do8brh)
- **Repository:** <https://github.com/Digidai/website2markdown>

## 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": "digidai-website2markdown"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/digidai-website2markdown` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/digidai-website2markdown/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