# Web Content Pick

> Use this tool when you need to extract specific data from web pages or perform web scraping tasks, as it solves problems related to content analysis and structured data representation. It takes in customizable selectors and website URLs as inputs and outputs structured content, such as headings, paragraphs, and lists. Use Web Content Pick in contexts where automated data extraction from web pages is required, like data mining or content aggregation projects.

Canonical page: https://skillsregistry.net/skills/kilicmu-web-content-pick  
JSON: https://api.skillsregistry.net/v1/skills/kilicmu-web-content-pick

## Description

MCP Web Content Pick is a server implementation that extracts structured content from web pages using customizable selectors. Developed by kilicmu, it leverages the web-structure library to crawl websites and parse HTML elements like headings, paragraphs, and lists. The tool supports recursive crawling with configurable depth limits, custom selector definitions, and error handling options. This implementation is particularly valuable for content analysis, web scraping, and generating structured representations of web pages without leaving the AI assistant interface.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kilicmu-web-content-pick)
- **Repository:** <https://github.com/kilicmu/mcp-web-content-pick>

## 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": "kilicmu-web-content-pick"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kilicmu-web-content-pick` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kilicmu-web-content-pick/pull`

---
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