# claw-site

> Use this tool when you need to extract data from websites and images, as it provides a Python MCP server that can retrieve URLs, page content with browser rendering fallback, and text from images using Optical Character Recognition (OCR). It solves problems related to web scraping, data mining, and image text extraction, making it ideal for use cases that require automated data collection. It accepts URLs and image inputs, and outputs extracted text and data, making it a versatile tool for various applications.

Canonical page: https://skillsregistry.net/skills/mymacmeet-crypto-local-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mymacmeet-crypto-local-mcp

## Description

A Python MCP server that extracts URLs, page content (with browser rendering fallback), and text from images via OCR.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ctwu9z4624)
- **Repository:** <https://github.com/mymacmeet-crypto/local-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": "mymacmeet-crypto-local-mcp"
    }
  }
}
```

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