browser-automationdeveloper-tools

Chrome DevTools

chromedevtools

by chromedevtools

Use Chrome DevTools for web site test speed, debugging, and performance analysis. The essential chrome developer tools f

Provides direct Chrome browser control through DevTools for web automation, debugging, and performance analysis using accessibility tree snapshots for reliable element targeting, automatic page event handling, and integrated performance tracing with actionable insights.

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Uses accessibility trees for reliable automationBuilt on Puppeteer with automatic wait handlingIntegrated performance tracing with CrUX data

best for

  • / Web developers debugging applications
  • / QA engineers automating browser testing
  • / Performance analysts optimizing web apps
  • / AI assistants performing web automation tasks

capabilities

  • / Click, drag, fill forms, and upload files on web pages
  • / Monitor network requests and console messages
  • / Take performance traces with actionable insights
  • / Debug web applications with DevTools integration
  • / Navigate and control multiple browser tabs
  • / Extract accessibility tree snapshots for element targeting

what it does

Gives AI assistants direct control over a Chrome browser through DevTools for automation, debugging, and performance analysis. Uses accessibility trees for reliable element targeting and includes network monitoring capabilities.

about

Chrome DevTools is an official MCP server published by chromedevtools that provides AI assistants with tools and capabilities via the Model Context Protocol. Use Chrome DevTools for web site test speed, debugging, and performance analysis. The essential chrome developer tools f It is categorized under browser automation, developer tools. This server exposes 26 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Chrome DevTools in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

Apache-2.0

Chrome DevTools is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Chrome DevTools MCP

npm chrome-devtools-mcp package

chrome-devtools-mcp lets your coding agent (such as Gemini, Claude, Cursor or Copilot) control and inspect a live Chrome browser. It acts as a Model-Context-Protocol (MCP) server, giving your AI coding assistant access to the full power of Chrome DevTools for reliable automation, in-depth debugging, and performance analysis.

Tool reference | Changelog | Contributing | Troubleshooting | Design Principles

Key features

  • Get performance insights: Uses Chrome DevTools to record traces and extract actionable performance insights.
  • Advanced browser debugging: Analyze network requests, take screenshots and check browser console messages (with source-mapped stack traces).
  • Reliable automation. Uses puppeteer to automate actions in Chrome and automatically wait for action results.

Disclaimers

chrome-devtools-mcp exposes content of the browser instance to the MCP clients allowing them to inspect, debug, and modify any data in the browser or DevTools. Avoid sharing sensitive or personal information that you don't want to share with MCP clients.

Performance tools may send trace URLs to the Google CrUX API to fetch real-user experience data. This helps provide a holistic performance picture by presenting field data alongside lab data. This data is collected by the Chrome User Experience Report (CrUX). To disable this, run with the --no-performance-crux flag.

Usage statistics

Google collects usage statistics (such as tool invocation success rates, latency, and environment information) to improve the reliability and performance of Chrome DevTools MCP.

Data collection is enabled by default. You can opt-out by passing the --no-usage-statistics flag when starting the server:

"args": ["-y", "chrome-devtools-mcp@latest", "--no-usage-statistics"]

Google handles this data in accordance with the Google Privacy Policy.

Google's collection of usage statistics for Chrome DevTools MCP is independent from the Chrome browser's usage statistics. Opting out of Chrome metrics does not automatically opt you out of this tool, and vice-versa.

Collection is disabled if CHROME_DEVTOOLS_MCP_NO_USAGE_STATISTICS or CI env variables are set.

Requirements

Getting started

Add the following config to your MCP client:

{
  "mcpServers": {
    "chrome-devtools": {
      "command": "npx",
      "args": ["-y", "chrome-devtools-mcp@latest"]
    }
  }
}

[!NOTE]
Using chrome-devtools-mcp@latest ensures that your MCP client will always use the latest version of the Chrome DevTools MCP server.

If you are interested in doing only basic browser tasks, use the --slim mode:

{
  "mcpServers": {
    "chrome-devtools": {
      "command": "npx",
      "args": ["-y", "chrome-devtools-mcp@latest", "--slim", "--headless"]
    }
  }
}

See Slim tool reference.

MCP Client configuration

<details> <summary>Amp</summary> Follow https://ampcode.com/manual#mcp and use the config provided above. You can also install the Chrome DevTools MCP server using the CLI:
amp mcp add chrome-devtools -- npx chrome-devtools-mcp@latest
</details> <details> <summary>Antigravity</summary>

To use the Chrome DevTools MCP server follow the instructions from <a href="https://antigravity.google/docs/mcp">Antigravity's docs</a> to install a custom MCP server. Add the following config to the MCP servers config:

{
  "mcpServers": {
    "chrome-devtools": {
      "command": "npx",
      "args": [
        "chrome-devtools-mcp@latest",
        "--browser-url=http://127.0.0.1:9222",
        "-y"
      ]
    }
  }
}

This will make the Chrome DevTools MCP server automatically connect to the browser that Antigravity is using. If you are not using port 9222, make sure to adjust accordingly.

Chrome DevTools MCP will not start the browser instance automatically using this approach because the Chrome DevTools MCP server connects to Antigravity's built-in browser. If the browser is not already running, you have to start it first by clicking the Chrome icon at the top right corner.

</details> <details> <summary>Claude Code</summary>

Install via CLI (MCP only)

Use the Claude Code CLI to add the Chrome DevTools MCP server (<a href="https://code.claude.com/docs/en/mcp">guide</a>):

claude mcp add chrome-devtools --scope user npx chrome-devtools-mcp@latest

Install as a Plugin (MCP + Skills)

[!NOTE]
If you already had Chrome DevTools MCP installed previously for Claude Code, make sure to remove it first from your installation and configuration files.

To install Chrome DevTools MCP with skills, add the marketplace registry in Claude Code:

/plugin marketplace add ChromeDevTools/chrome-devtools-mcp

Then, install the plugin:

/plugin install chrome-devtools-mcp

Restart Claude Code to have the MCP server and skills load (check with /skills).

</details> <details> <summary>Cline</summary> Follow https://docs.cline.bot/mcp/configuring-mcp-servers and use the config provided above. </details> <details> <summary>Codex</summary> Follow the <a href="https://developers.openai.com/codex/mcp/#configure-with-the-cli">configure MCP guide</a> using the standard config from above. You can also install the Chrome DevTools MCP server using the Codex CLI:
codex mcp add chrome-devtools -- npx chrome-devtools-mcp@latest

On Windows 11

Configure the Chrome install location and increase the startup timeout by updating .codex/config.toml and adding the following env and startup_timeout_ms parameters:

[mcp_servers.chrome-devtools]
command = "cmd"
args = [
    "/c",
    "npx",
    "-y",
    "chrome-devtools-mcp@latest",
]
env = { SystemRoot="C:\Windows", PROGRAMFILES="C:\Program Files" }
startup_timeout_ms = 20_000
</details> <details> <summary>Copilot CLI</summary>

Start Copilot CLI:

copilot

Start the dialog to add a new MCP server by running:

/mcp add

Configure the following fields and press CTRL+S to save the configuration:

  • Server name: chrome-devtools
  • Server Type: [1] Local
  • Command: npx -y chrome-devtools-mcp@latest
</details> <details> <summary>Copilot / VS Code</summary>

Click the button to install:

<img src="https://img.shields.io/badge/VS_Code-VS_Code?style=flat-square&label=Install%20Server&color=0098FF" alt="Install in VS Code">

<img src="https://img.shields.io/badge/VS_Code_Insiders-VS_Code_Insiders?style=flat-square&label=Install%20Server&color=24bfa5" alt="Install in VS Code Insiders">

Or install manually:

Follow the MCP install <a href="https://code.visualstudio.com/docs/copilot/chat/mcp-servers#_add-an-mcp-server">guide</a>, with the standard config from above. You can also install the Chrome DevTools MCP server using the VS Code CLI:

code --add-mcp '{"name":"io.github.ChromeDevTools/chrome-devtools-mcp","command":"npx","args":["-y","chrome-devtools-mcp"],"env":{}}'
</details> <details> <summary>Cursor</summary>

Click the button to install:

<img src="https://cursor.com/deeplink/mcp-install-dark.svg" alt="Install in Cursor">

Or install manually:

Go to Cursor Settings -> MCP -> New MCP Server. Use the config provided above.

</details> <details> <summary>Factory CLI</summary> Use the Factory CLI to add the Chrome DevTools MCP server (<a href="https://docs.factory.ai/cli/configuration/mcp">guide</a>):
droid mcp add chrome-devtools "npx -y chrome-devtools-mcp@latest"
</details> <details> <summary>Gemini CLI</summary> Install the Chrome DevTools MCP server using the Gemini CLI.

Project wide:

# Either MCP only:
gemini mcp add chrome-devtools npx chrome-devtools-mcp@latest
# Or as a Gemini extension (MCP+Skills):
gemini extensions install --auto-update https://github.com/ChromeDevTools/chrome-devtools-mcp

Globally:

gemini mcp add -s user chrome-devtools npx chrome-devtools-mcp@latest

Alternatively, follow the <a href="https://github.com/google-gemini/gemini-cli/blob/main/docs/tools/mcp-server.md#how-to-set-up-your-mcp-server">MCP guide</a> and use the standard config from above.

</details> <details> <summary>Gemini Code Assist</summary> Follow the <a href="https://cloud.google.com/gemini/docs/codeassist/use-agentic-chat-pair-programmer#configure-mcp-servers">configure MCP guide</a> using the standard config from above. </details> <details> <summary>JetBrains AI Assistant & Junie</summary>

FAQ

What is the Chrome DevTools MCP server?
Chrome DevTools is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Chrome DevTools?
This profile displays 55 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.855 reviews
  • Hassan White· Dec 28, 2024

    Strong directory entry: Chrome DevTools surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Dec 24, 2024

    Chrome DevTools is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Zara Rao· Dec 20, 2024

    We wired Chrome DevTools into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Emma Liu· Dec 4, 2024

    Chrome DevTools has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • James Kim· Dec 4, 2024

    Chrome DevTools is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Emma Gupta· Nov 27, 2024

    I recommend Chrome DevTools for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Emma Garcia· Nov 23, 2024

    According to our notes, Chrome DevTools benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Layla Johnson· Nov 19, 2024

    We wired Chrome DevTools into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Oshnikdeep· Nov 15, 2024

    Chrome DevTools is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Emma Park· Nov 11, 2024

    Strong directory entry: Chrome DevTools surfaces stars and publisher context so we could sanity-check maintenance before adopting.

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