# Chrome Browser Control (cheikh2shift)

> Use this tool when you need to automate Chrome browser interactions, such as tab management and page navigation, or extract content from web pages. It solves problems like automating web scraping, testing, and data extraction, and provides inputs like WebSocket communication and outputs like screenshots and extracted content. Ideal for use cases requiring real-time browser control without relying on headless browsers.

Canonical page: https://skillsregistry.net/skills/gh-cheikh2shift-chrome-control  
JSON: https://api.skillsregistry.net/v1/skills/gh-cheikh2shift-chrome-control

## Description

Provides Chrome browser automation through a companion extension that communicates via WebSocket. Supports tab management, page navigation, content extraction, element interaction, and screenshot capture. The Go-based MCP server coordinates with the Chrome extension for real-time browser control without headless browser dependencies.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-cheikh2shift-chrome-control)
- **Repository:** <https://github.com/cheikh2shift/chrome-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": "gh-cheikh2shift-chrome-control"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-cheikh2shift-chrome-control` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-cheikh2shift-chrome-control/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
