# Element Selector

> Use this tool when you need to interactively select and analyze DOM elements from web pages, capturing their HTML structure, styles, and screenshots for web design analysis, debugging, and UI research. It solves problems related to inspecting and understanding web page components, providing a seamless selection workflow with visual highlighting and context menu navigation. The tool takes web pages as input and outputs stored element metadata, including HTML, styles, and screenshots, to a local SQLite database.

Canonical page: https://skillsregistry.net/skills/stonega-element-selector  
JSON: https://api.skillsregistry.net/v1/skills/stonega-element-selector

## Description

Element MCP is a Chrome extension that enables developers and designers to interactively select and store DOM elements from web pages, capturing their HTML structure, computed styles, and screenshots. The extension provides a seamless selection workflow with visual highlighting, context menu navigation between parent/child elements, and automatic storage of element metadata to a local SQLite database, making it useful for web design analysis, debugging, and UI research.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

REST: `GET https://api.skillsregistry.net/v1/skills/stonega-element-selector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stonega-element-selector/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