Control Chrome tabs, interact with web elements, and automate complex browser workflows using an AI-powered MCP bridge and extension.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-6
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 skill-6 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AIPex Browser Control is a sophisticated automation bridge that enables AI agents to command a Chrome browser via the Model Context Protocol (MCP). By connecting a local bridge to the AIPex Chrome extension, agents gain the ability to navigate the web, interact with DOM elements, and manage tab lifecycles using natural language. This skill is essential for developers building autonomous agents within the ecosystem of Openclaw Skills that require real-time web interaction.
The architecture relies on a WebSocket connection between the browser extension and an MCP bridge, allowing for low-latency execution of over 30 specialized tools. It intelligently prioritizes semantic interaction via accessibility trees to minimize token usage while maintaining high reliability across diverse web technologies.
To integrate this functionality into your Openclaw Skills workflow, ensure you have Node.js >= 18 and the AIPex Chrome extension installed.
Add the following configuration to your agent (Cursor, Claude Desktop, or Windsurf):
{
"mcpServers": {
"aipex-browser": {
"command": "npx",
"args": ["-y", "aipex-mcp-bridge"]
}
}
}
Open the AIPex extension options in Chrome, navigate to the WebSocket Connection section, enter ws://localhost:9223, and click Connect.
The skill manages browser state through Tab IDs and utilizes UIDs for element-level targeting. The following table describes the data structures handled by this skill:
| Component | Data Type | Purpose |
|---|---|---|
| Tab ID | Integer | Identifies specific browser tabs for multi-tasking |
| Element UID | String | Unique identifier for interactive DOM elements |
| Page Metadata | JSON | Contains URL, title, and loading status |
| Screenshots | Base64/PNG | Visual representation of the tab state for vision models |
| Markdown | String | Extracted page content formatted for easy LLM consumption |
This structured approach ensures that Openclaw Skills can maintain context across complex browsing sessions.
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