# Chrome DevTools Automation

> Use this tool when you need to automate interactions with Chrome web pages, such as clicking, filling forms, and navigating, or when you want to analyze and debug web page performance, network activity, and console output. It provides inputs like scripting and navigation commands, and outputs like screenshots, text snapshots, and performance metrics. Use it in contexts like web development, testing, and debugging to streamline workflows and improve web page quality.

Canonical page: https://skillsregistry.net/skills/shay5555-gif-chrome-devtools-mcp-2  
JSON: https://api.skillsregistry.net/v1/skills/shay5555-gif-chrome-devtools-mcp-2

## Description

Automate Chrome pages with clicks, form fills, navigation, and in-page scripting. Inspect console and network activity, take screenshots or text snapshots, and manage multiple pages. Analyze performance with trace recordings, throttling, and Core Web Vitals insights

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/SHAY5555-gif/chrome-devtools-mcp-2)
- **Repository:** <https://github.com/SHAY5555-gif/chrome-devtools-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": "shay5555-gif-chrome-devtools-mcp-2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shay5555-gif-chrome-devtools-mcp-2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shay5555-gif-chrome-devtools-mcp-2/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