# Skrape MCP Server

> Use this tool when you need to extract and convert website content into a clean, machine-readable format. It solves the problem of manually scraping and formatting webpage data, providing a streamlined output in Markdown for large language models (LLMs). The Skrape MCP Server takes website URLs as input and outputs formatted Markdown content, ideal for use cases requiring web data integration, such as data mining, research, or content migration, with optional version control through git.

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

## Description

Get any website content - Convert webpages into clean, LLM-ready Markdown.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/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-mcp"
    }
  }
}
```

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