The official Google Chrome DevTools MCP server enables AI agents to control a live browser for automation, testing, and performance analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chrome-devtools-mcp-1-0-0
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install chrome-devtools-mcp-1-0-0 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Chrome DevTools MCP is a powerful tool designed to bridge the gap between AI agents and web browsers. By utilizing the Puppeteer library and the Chrome DevTools Protocol, it provides a comprehensive interface for agents to navigate the web, interact with elements, and inspect page internals. This skill is a foundational piece for developers looking to enhance their automation capabilities with Openclaw Skills, allowing for a level of browser control that was previously difficult to achieve.
Built by Google, this server ensures high compatibility and access to deep browser metrics. Whether you are performing visual regression testing or automating complex multi-page workflows, this integration provides the necessary tools to execute tasks with precision. Integrating this into your stack allows you to leverage the full power of Openclaw Skills for sophisticated web-based operations.
To get started, you can verify the installation using the following command:
npx -y chrome-devtools-mcp@latest --help
To integrate this into your workflow, add the configuration to your openclaw.json file:
{
"mcp": {
"servers": {
"chrome-devtools": {
"command": "npx",
"args": ["-y", "chrome-devtools-mcp@latest", "--headless", "--no-usage-statistics"]
}
}
}
}
This setup ensures that your agent has immediate access to these Openclaw Skills for browser-based tasks.
The skill organizes browser data into several structured categories for easy consumption by AI agents:
| Data Type | Description | Key Metadata |
|---|---|---|
| Page Snapshot | Hierarchical DOM structure | UIDs, Roles, Labels |
| Visual Capture | Current viewport image | Base64 Image Data |
| Performance Trace | Runtime execution logs | Trace URLs, CrUX Insights |
| Network Data | HTTP request/response logs | Headers, Status Codes, Payloads |
| Console Logs | JS runtime output | Stack Traces, Message Levels |
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