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| title | description |
|---|---|
| Chrome DevTools Extension | Add Chrome DevTools MCP Server as a Goose Extension |
import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import GooseDesktopInstaller from '@site/src/components/GooseDesktopInstaller';
This tutorial covers how to add the Chrome DevTools MCP Server as a Goose extension to enable browser automation, web performance testing, and interactive web application debugging in a Chrome browser.
:::tip TLDR Launch the installer Command
npx -y chrome-devtools-mcp@latest
:::
Configuration
:::info
Note that you'll need Node.js installed on your system to run this command, as it uses npx.
:::
- Choose to add a
Command-line Extension
┌ goose-configure
│
◇ What would you like to configure?
│ Add Extension (Connect to a new extension)
│
◆ What type of extension would you like to add?
│ ○ Built-in Extension
// highlight-start
│ ● Command-line Extension (Run a local command or script)
// highlight-end
│ ○ Remote Extension (SSE)
│ ○ Remote Extension (Streaming HTTP)
└
- Give your extension a name
┌ goose-configure
│
◇ What would you like to configure?
│ Add Extension (Connect to a new extension)
│
◇ What type of extension would you like to add?
│ Command-line Extension
│
// highlight-start
◆ What would you like to call this extension?
│ chrome-devtools
// highlight-end
└
- Enter the command
┌ goose-configure
│
◇ What would you like to configure?
│ Add Extension (Connect to a new extension)
│
◇ What type of extension would you like to add?
│ Command-line Extension
│
◇ What would you like to call this extension?
│ chrome-devtools
│
// highlight-start
◆ What command should be run?
│ npx -y chrome-devtools-mcp@latest
// highlight-end
└
- Enter the number of seconds Goose should wait for actions to complete before timing out. Default is 300s ```sh ┌ goose-configure │ ◇ What would you like to configure? │ Add Extension (Connect to a new extension) │ ◇ What type of extension would you like to add? │ Command-line Extension │ ◇ What would you like to call this extension? │ chrome-devtools │ ◇ What command should be run? │ npx -y chrome-devtools-mcp@latest │ // highlight-start ◆ Please set the timeout for this tool (in secs): │ 300 // highlight-end │ └
6. Choose to add a description. If you select "Yes" here, you will be prompted to enter a description for the extension.
```sh
┌ goose-configure
│
◇ What would you like to configure?
│ Add Extension (Connect to a new extension)
│
◇ What type of extension would you like to add?
│ Command-line Extension
│
◇ What would you like to call this extension?
│ chrome-devtools
│
◇ What command should be run?
│ npx -y chrome-devtools-mcp@latest
│
◇ Please set the timeout for this tool (in secs):
│ 300
│
// highlight-start
◇ Would you like to add a description?
│ No
// highlight-end
│
└
- Choose No when asked to add environment variables
┌ goose-configure
│
◇ What would you like to configure?
│ Add Extension (Connect to a new extension)
│
◇ What type of extension would you like to add?
│ Command-line Extension
│
◇ What would you like to call this extension?
│ chrome-devtools
│
◇ What command should be run?
│ npx -y chrome-devtools-mcp@latest
│
◇ Please set the timeout for this tool (in secs):
│ 300
│
◇ Would you like to add a description?
│ No
│
// highlight-start
◆ Would you like to add environment variables?
│ No
|
// highlight-end
└ Added chrome-devtools extension
Example Usage
In this example, I'll show you how to use Goose with the Chrome DevTools Extension to perform automated performance testing on a demo website.
Goose Prompt
Use the chrome dev tools extension to Navigate to https://www.saucedemo.com
Then, login as performance_glitch_user and measure the site's performance
Goose Output
I'll help you navigate to the Sauce Demo site, login as the performance_glitch_user, and measure the performance impact. Let me start by checking what pages are currently open and then navigate to the site.
Perfect! I can see the login page for Swag Labs. I can see that `performance_glitch_user` is one of the accepted usernames, and the password for all users is `secret_sauce`. Let me log in with these credentials and then measure the performance.
I've successfully navigated to the Saucedemo website and logged in as the `performance_glitch_user` to measure the site's performance. Here's what I discovered:
## Performance Analysis Results for performance_glitch_user
### Initial Observations
1. **Login Performance**: The initial login with the performance_glitch_user took noticeably longer than normal - the click on the Login button actually timed out after 5 seconds, indicating significant delays.
2. **Page Load Metrics**:
- **Total Load Time**: ~5.03 seconds (5030ms)
- **First Paint**: 5.08 seconds
- **First Contentful Paint**: 5.08 seconds
- **Response Time**: 2.5ms (server response was actually fast)
- **DOM Content Loaded**: 0.1ms
### Performance Issues Identified
The performance issues with the `performance_glitch_user` account appear to be **client-side rendering delays** rather than network or server issues:
- The server responds quickly (2.5ms response time)
- The major delay occurs in the rendering phase (5+ seconds to first paint)
- This suggests the performance glitch is intentionally built into the client-side JavaScript execution for this specific user
### Interactive Performance
- **Button Clicks**: Adding items to cart works, but with noticeable delays
- **DOM Queries**: Standard DOM operations perform normally (~0.1ms)
- **JavaScript Execution**: Basic computations run at normal speed (~2ms for 100k operations)
### Cart Functionality
I was able to successfully add multiple items to the cart (the cart counter increased from 1 to 3), showing that despite the performance issues, the core functionality remains intact.
### Conclusion
The `performance_glitch_user` account demonstrates **intentional performance degradation** primarily affecting:
- Initial page rendering (5+ second delays)
- Login process (timeouts)
- Visual feedback delays
This makes it an excellent test account for performance testing scenarios, as it simulates real-world performance issues that users might experience with slow devices or poor network conditions, while maintaining functional correctness.