Chrome DevTools MCP▌

by chromedevtools
AI-driven control of live Chrome via Chrome DevTools: browser automation, debugging, performance analysis and network mo
Enables AI coding assistants to control and inspect a live Chrome browser through Chrome DevTools. Provides browser automation, performance analysis, debugging capabilities, and network request monitoring.
best for
- / Web developers debugging browser issues
- / Performance engineers analyzing site speed
- / QA teams automating browser testing
- / AI assistants needing browser control
capabilities
- / Automate browser interactions with reliable waiting
- / Record performance traces and extract insights
- / Monitor network requests and responses
- / Take screenshots of web pages
- / Debug JavaScript with console message analysis
- / Analyze page performance metrics
what it does
Lets AI assistants control a live Chrome browser through DevTools for automation, debugging, and performance analysis. Provides direct access to browser developer tools through a programming interface.
about
Chrome DevTools MCP is an official MCP server published by chromedevtools that provides AI assistants with tools and capabilities via the Model Context Protocol. AI-driven control of live Chrome via Chrome DevTools: browser automation, debugging, performance analysis and network mo It is categorized under browser automation, developer tools.
how to install
You can install Chrome DevTools MCP 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 MCP 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
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
- Node.js v20.19 or a newer latest maintenance LTS version.
- Chrome current stable version or newer.
- npm.
Getting started
Add the following config to your MCP client:
{
"mcpServers": {
"chrome-devtools": {
"command": "npx",
"args": ["-y", "chrome-devtools-mcp@latest"]
}
}
}
[!NOTE]
Usingchrome-devtools-mcp@latestensures 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).
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
Click the button to install:
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.
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>