# ReviewWebsite

> Use this tool when you need to analyze and extract content from websites, solve problems like manual data scraping or formatting, and automate tasks like generating summaries or converting URLs to Markdown. It takes website URLs as input and outputs extracted content, summaries, and Markdown conversions through its CLI or HTTP interface. Ideal for content creators, researchers, and marketers who require efficient web content analysis and data extraction.

Canonical page: https://skillsregistry.net/skills/mrgoonie-reviewwebsite  
JSON: https://api.skillsregistry.net/v1/skills/mrgoonie-reviewwebsite

## Description

The ReviewWebsite MCP server provides AI assistants with tools to analyze and extract content from websites through the ReviewWeb.site API. Developed by mrgoonie, this TypeScript implementation offers capabilities for converting URLs to Markdown, scraping web content, extracting links, and generating AI-powered summaries of web pages. The server features both CLI and HTTP transport modes, comprehensive error handling, and cloud storage integration with providers like Cloudflare R2. It's particularly valuable for content creators, researchers, and marketers who need to efficiently analyze websites, extract structured data, or generate content summaries without manual formatting or scraping.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mrgoonie-reviewwebsite)
- **Repository:** <https://github.com/mrgoonie/reviewwebsite-mcp-server>

## 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": "mrgoonie-reviewwebsite"
    }
  }
}
```

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