# Website Downloader (Windows)

> Use this tool when you need to efficiently retrieve and store web content for tasks like web scraping, content archiving, or offline browsing. It solves problems of direct internet access and complex setup procedures by leveraging asynchronous processing and concurrent downloads. The tool takes website URLs as input and outputs stored web content, making it ideal for AI models that require offline interaction with web data.

Canonical page: https://skillsregistry.net/skills/angrysky56-windows-website-downloader  
JSON: https://api.skillsregistry.net/v1/skills/angrysky56-windows-website-downloader

## Description

This Windows-compatible website downloader tool for the Model Context Protocol (MCP) enables AI assistants to efficiently retrieve and store web content. Developed to address the need for a robust, Windows-friendly solution, it leverages asynchronous processing and concurrent downloads to quickly capture websites and their assets. The implementation, built with Python using libraries like aiohttp and BeautifulSoup4, offers configurable crawl depth and media file handling. It's particularly useful for tasks like web scraping, content archiving, or offline browsing, allowing AI models to interact with web content without requiring direct internet access or complex setup procedures.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/angrysky56-windows-website-downloader)
- **Repository:** <https://github.com/angrysky56/mcp-windows-website-downloader>

## 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": "angrysky56-windows-website-downloader"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/angrysky56-windows-website-downloader` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/angrysky56-windows-website-downloader/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