# Scrapezy MCP Server

> Use this tool when you need to extract structured data from websites using AI models, simplifying data extraction by providing a URL and a clear prompt. It solves problems of manual data collection and integration, allowing for seamless incorporation into AI workflows. The Scrapezy MCP Server takes in URLs and prompts as input and outputs the extracted structured data.

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

## Description

Extract structured data from websites using AI models. Simplify data extraction by providing a URL and a clear prompt to get the information you need. Enhance your applications with powerful web scraping capabilities seamlessly integrated with your AI workflows.

## 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:** browser-automation
- **Updated:** 2026-05-13

## Source

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

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