Provides browser automation and debugging capabilities through Chrome DevTools, enabling performance analysis, network inspection, automated interactions, and debugging of web applications running in Chrome
Uses Puppeteer for reliable browser automation, providing tools for navigation, form filling, clicking, screenshot capture, and waiting for page elements and events
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Chrome DevTools MCPtake a screenshot of the current page"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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:
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:
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 intersted in doing only basic browser tasks, use the --slim mode:
See Slim tool reference.
MCP Client configuration
To use the Chrome DevTools MCP server follow the instructions from Antigravity's docs to install a custom MCP server. Add the following config to the MCP servers config:
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 as as the Chrome DevTools MCP server runs in 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.
Install via CLI (MCP only)
Use the Claude Code CLI to add the Chrome DevTools MCP server (guide):
Install as a Plugin (MCP + Skills)
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:
Then, install the plugin:
Restart Claude Code to have the MCP server and skills load (check with /skills).
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:
Start Copilot CLI:
Start the dialog to add a new MCP server by running:
Configure the following fields and press CTRL+S to save the configuration:
Server name:
chrome-devtoolsServer Type:
[1] LocalCommand:
npx -y chrome-devtools-mcp@latest
Click the button to install:
Or install manually:
Follow the MCP install guide, with the standard config from above. You can also install the Chrome DevTools MCP server using the VS Code CLI:
Click the button to install:
Or install manually:
Go to Cursor Settings -> MCP -> New MCP Server. Use the config provided above.
Project wide:
Globally:
Alternatively, follow the MCP guide and use the standard config from above.
Go to Settings | Tools | AI Assistant | Model Context Protocol (MCP) -> Add. Use the config provided above.
The same way chrome-devtools-mcp can be configured for JetBrains Junie in Settings | Tools | Junie | MCP Settings -> Add. Use the config provided above.
In Kiro Settings, go to Configure MCP > Open Workspace or User MCP Config > Use the configuration snippet provided above.
Or, from the IDE Activity Bar > Kiro > MCP Servers > Click Open MCP Config. Use the configuration snippet provided above.
The Chrome DevTools MCP server can be used with Katalon StudioAssist via an MCP proxy.
Step 1: Install the MCP proxy by following the MCP proxy setup guide.
Step 2: Start the Chrome DevTools MCP server with the proxy:
Note: You may need to pick another port if 8080 is already in use.
Step 3: In Katalon Studio, add the server to StudioAssist with the following settings:
Connection URL:
http://127.0.0.1:8080/mcpTransport type:
HTTP
Once connected, the Chrome DevTools MCP tools will be available in StudioAssist.
Add the following configuration to your opencode.json file. If you don't have one, create it at ~/.config/opencode/opencode.json (guide):
In Qoder Settings, go to MCP Server > + Add > Use the configuration snippet provided above.
Alternatively, follow the MCP guide and use the standard config from above.
Install the Chrome DevTools MCP server using the Qoder CLI (guide):
Project wide:
Globally:
Click the button to install:
Go to Settings | AI | Manage MCP Servers -> + Add to add an MCP Server. Use the config provided above.
Your first prompt
Enter the following prompt in your MCP Client to check if everything is working:
Your MCP client should open the browser and record a performance trace.
The MCP server will start the browser automatically once the MCP client uses a tool that requires a running browser instance. Connecting to the Chrome DevTools MCP server on its own will not automatically start the browser.
Tools
If you run into any issues, checkout our troubleshooting guide.
Input automation (9 tools)
Navigation automation (6 tools)
Emulation (2 tools)
Performance (4 tools)
Network (2 tools)
Debugging (6 tools)
Configuration
The Chrome DevTools MCP server supports the following configuration option:
--autoConnectIf specified, automatically connects to a browser (Chrome 144+) running in the user data directory identified by the channel param. Requires the remoted debugging server to be started in the Chrome instance via chrome://inspect/#remote-debugging.Type: boolean
Default:
false
--browserUrlConnect to a running, debuggable Chrome instance (e.g.http://127.0.0.1:9222). For more details see: https://github.com/ChromeDevTools/chrome-devtools-mcp#connecting-to-a-running-chrome-instance.Type: string
--wsEndpointWebSocket endpoint to connect to a running Chrome instance (e.g., ws://127.0.0.1:9222/devtools/browser/). Alternative to --browserUrl.Type: string
--wsHeadersCustom headers for WebSocket connection in JSON format (e.g., '{"Authorization":"Bearer token"}'). Only works with --wsEndpoint.Type: string
--headlessWhether to run in headless (no UI) mode.Type: boolean
Default:
false
--executablePathPath to custom Chrome executable.Type: string
--isolatedIf specified, creates a temporary user-data-dir that is automatically cleaned up after the browser is closed. Defaults to false.Type: boolean
--userDataDirPath to the user data directory for Chrome. Default is $HOME/.cache/chrome-devtools-mcp/chrome-profile$CHANNEL_SUFFIX_IF_NON_STABLEType: string
--channelSpecify a different Chrome channel that should be used. The default is the stable channel version.Type: string
Choices:
stable,canary,beta,dev
--logFilePath to a file to write debug logs to. Set the env variableDEBUGto*to enable verbose logs. Useful for submitting bug reports.Type: string
--viewportInitial viewport size for the Chrome instances started by the server. For example,1280x720. In headless mode, max size is 3840x2160px.Type: string
--proxyServerProxy server configuration for Chrome passed as --proxy-server when launching the browser. See https://www.chromium.org/developers/design-documents/network-settings/ for details.Type: string
--acceptInsecureCertsIf enabled, ignores errors relative to self-signed and expired certificates. Use with caution.Type: boolean
--experimentalScreencastExposes experimental screencast tools (requires ffmpeg). Install ffmpeg https://www.ffmpeg.org/download.html and ensure it is available in the MCP server PATH.Type: boolean
--chromeArgAdditional arguments for Chrome. Only applies when Chrome is launched by chrome-devtools-mcp.Type: array
--ignoreDefaultChromeArgExplicitly disable default arguments for Chrome. Only applies when Chrome is launched by chrome-devtools-mcp.Type: array
--categoryEmulationSet to false to exclude tools related to emulation.Type: boolean
Default:
true
--categoryPerformanceSet to false to exclude tools related to performance.Type: boolean
Default:
true
--categoryNetworkSet to false to exclude tools related to network.Type: boolean
Default:
true
--performanceCruxSet to false to disable sending URLs from performance traces to CrUX API to get field performance data.Type: boolean
Default:
true
--usageStatisticsSet to false to opt-out of usage statistics collection. Google collects usage data to improve the tool, handled under the Google Privacy Policy (https://policies.google.com/privacy). This is independent from Chrome browser metrics. Disabled if CHROME_DEVTOOLS_MCP_NO_USAGE_STATISTICS or CI env variables are set.Type: boolean
Default:
true
--slimExposes a "slim" set of 3 tools covering navigation, script execution and screenshots only. Useful for basic browser tasks.Type: boolean
Pass them via the args property in the JSON configuration. For example:
Connecting via WebSocket with custom headers
You can connect directly to a Chrome WebSocket endpoint and include custom headers (e.g., for authentication):
To get the WebSocket endpoint from a running Chrome instance, visit http://127.0.0.1:9222/json/version and look for the webSocketDebuggerUrl field.
You can also run npx chrome-devtools-mcp@latest --help to see all available configuration options.
Concepts
User data directory
chrome-devtools-mcp starts a Chrome's stable channel instance using the following user
data directory:
Linux / macOS:
$HOME/.cache/chrome-devtools-mcp/chrome-profile-$CHANNELWindows:
%HOMEPATH%/.cache/chrome-devtools-mcp/chrome-profile-$CHANNEL
The user data directory is not cleared between runs and shared across
all instances of chrome-devtools-mcp. Set the isolated option to true
to use a temporary user data dir instead which will be cleared automatically after
the browser is closed.
Connecting to a running Chrome instance
By default, the Chrome DevTools MCP server will start a new Chrome instance with a dedicated profile. This might not be ideal in all situations:
If you would like to maintain the same application state when alternating between manual site testing and agent-driven testing.
When the MCP needs to sign into a website. Some accounts may prevent sign-in when the browser is controlled via WebDriver (the default launch mechanism for the Chrome DevTools MCP server).
If you're running your LLM inside a sandboxed environment, but you would like to connect to a Chrome instance that runs outside the sandbox.
In these cases, start Chrome first and let the Chrome DevTools MCP server connect to it. There are two ways to do so:
Automatic connection (available in Chrome 144): best for sharing state between manual and agent-driven testing.
Manual connection via remote debugging port: best when running inside a sandboxed environment.
Automatically connecting to a running Chrome instance
Step 1: Set up remote debugging in Chrome
In Chrome (>= M144), do the following to set up remote debugging:
Navigate to
chrome://inspect/#remote-debuggingto enable remote debugging.Follow the dialog UI to allow or disallow incoming debugging connections.
Step 2: Configure Chrome DevTools MCP server to automatically connect to a running Chrome Instance
To connect the chrome-devtools-mcp server to the running Chrome instance, use
--autoConnect command line argument for the MCP server.
The following code snippet is an example configuration for gemini-cli:
Step 3: Test your setup
Make sure your browser is running. Open gemini-cli and run the following prompt:
The autoConnect option requires the user to start Chrome. If the user has multiple active profiles, the MCP server will connect to the default profile (as determined by Chrome). The MCP server has access to all open windows for the selected profile.
The Chrome DevTools MCP server will try to connect to your running Chrome instance. It shows a dialog asking for user permission.
Clicking Allow results in the Chrome DevTools MCP server opening developers.chrome.com and taking a performance trace.
Manual connection using port forwarding
You can connect to a running Chrome instance by using the --browser-url option. This is useful if you are running the MCP server in a sandboxed environment that does not allow starting a new Chrome instance.
Here is a step-by-step guide on how to connect to a running Chrome instance:
Step 1: Configure the MCP client
Add the --browser-url option to your MCP client configuration. The value of this option should be the URL of the running Chrome instance. http://127.0.0.1:9222 is a common default.
Step 2: Start the Chrome browser
Enabling the remote debugging port opens up a debugging port on the running browser instance. Any application on your machine can connect to this port and control the browser. Make sure that you are not browsing any sensitive websites while the debugging port is open.
Start the Chrome browser with the remote debugging port enabled. Make sure to close any running Chrome instances before starting a new one with the debugging port enabled. The port number you choose must be the same as the one you specified in the --browser-url option in your MCP client configuration.
For security reasons, Chrome requires you to use a non-default user data directory when enabling the remote debugging port. You can specify a custom directory using the --user-data-dir flag. This ensures that your regular browsing profile and data are not exposed to the debugging session.
macOS
Linux
Windows
Step 3: Test your setup
After configuring the MCP client and starting the Chrome browser, you can test your setup by running a simple prompt in your MCP client:
Your MCP client should connect to the running Chrome instance and receive a performance report.
If you hit VM-to-host port forwarding issues, see the “Remote debugging between virtual machine (VM) and host fails” section in docs/troubleshooting.md.
For more details on remote debugging, see the Chrome DevTools documentation.
Debugging Chrome on Android
Please consult these instructions.
Known limitations
See Troubleshooting.