# Skrape

> Use this tool when you need to convert complex web pages into structured Markdown for language model processing, solving problems of noise reduction and HTML parsing complexities in web content analysis and information extraction. It takes HTML pages as input and outputs clean, formatted Markdown, providing a simple interface to the skrape.ai API. Ideal for developers and researchers working with LLMs, it enables seamless web content integration for automated research and analysis.

Canonical page: https://skillsregistry.net/skills/skrapeai-skrape  
JSON: https://api.skillsregistry.net/v1/skills/skrapeai-skrape

## Description

This MCP server, developed by Skrape.ai, provides a bridge between web content and LLMs by converting HTML pages into clean, structured Markdown. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a simple interface to the skrape.ai API for webpage conversion. The implementation focuses on noise reduction, consistent formatting, and JavaScript rendering support, making it ideal for feeding web content into LLMs. It's particularly useful for developers and researchers working with language models, enabling use cases such as web content analysis, information extraction, and automated research without dealing directly with HTML parsing or web scraping complexities.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

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