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aipex-browser AI-powered browser automation using the AIPex Chrome Extension via MCP bridge. Use this skill when the agent needs to control a Chrome browser — navigating pages, clicking elements, filling forms, capturing screenshots, managing tabs, or downloading content — by connecting to the AIPex MCP bridge.
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npx skills add https://github.com/AIPexStudio/AIPex --skill aipex-browserコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
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Zipをダウンロード ダウンロード中... このリポジトリの他の Skills Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends AIPex's capabilities with specialized knowledge, workflows, or tool integrations.
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WCAG 2.2 Accessibility Audit skill that systematically evaluates web pages against 8 core Success Criteria (1.1.1, 1.4.3, 1.4.11, 2.1.1, 2.1.2, 2.4.3, 2.4.7, 4.1.2) using accessibility tree inspection and visual analysis. Use this skill when you need to perform accessibility testing/auditing on a live webpage.
name aipex-browser description AI-powered browser automation using the AIPex Chrome Extension via MCP bridge. Use this skill when the agent needs to control a Chrome browser — navigating pages, clicking elements, filling forms, capturing screenshots, managing tabs, or downloading content — by connecting to the AIPex MCP bridge. version 1.0.0 metadata {"openclaw":{"requires":{"bins":["npx"]},"emoji":"🌐","homepage":"https://aipex.ai","os":["macos","linux","windows"]}}
AIPex Browser Control
AIPex is a Chrome extension that exposes 30+ browser automation tools over the Model Context Protocol (MCP). Once connected, the agent can control any Chrome tab using natural language — clicking, typing, navigating, capturing screenshots, downloading content, and more.
Architecture:
Agent (MCP client) ──stdio──▶ aipex-mcp-bridge ──WebSocket──▶ AIPex Chrome Extension ──▶ Browser APIs
When to Use This Skill
Use this skill when the user wants to:
Navigate to URLs, click links, fill forms, or interact with any web page
Automate multi-step browser workflows
Extract or download data from web pages
Capture screenshots of browser tabs
Manage multiple tabs across browser windows
Perform browser-assisted testing (accessibility, UX, regression)
Prerequisites
AIPex Chrome extension installed (available on the Chrome Web Store or via developer build)
Node.js >= 18 installed on the local machineThe user is assumed to have AIPex installed. The agent only needs to complete the two connection steps below.
Step 1: Register the MCP Server Add the following to the agent's MCP configuration. No manual installation is needed — npx downloads and runs aipex-mcp-bridge automatically.
Cursor (.cursor/mcp.json) {
"mcpServers" : {
"aipex-browser" : {
"command" : "npx" ,
"args" : [ "-y" , "aipex-mcp-bridge" ]
}
}
}
Claude Desktop (claude_desktop_config.json) {
"mcpServers" : {
"aipex-browser" : {
"command" : "npx" ,
"args" : [ "-y" , "aipex-mcp-bridge" ]
}
}
}
Claude Code (CLI) claude mcp add aipex-browser -- npx -y aipex-mcp-bridge
VS Code Copilot (.vscode/mcp.json) {
"servers" : {
"aipex-browser" : {
"command" : "npx" ,
"args" : [ "-y" , "aipex-mcp-bridge" ]
}
}
}
Windsurf (mcp_config.json) {
"mcpServers" : {
"aipex-browser" : {
"command" : "npx" ,
"args" : [ "-y" , "aipex-mcp-bridge" ]
}
}
}
Custom port (optional) The bridge listens on localhost:9223 by default. To use a different port:
{
"mcpServers" : {
"aipex-browser" : {
"command" : "npx" ,
"args" : [ "-y" , "aipex-mcp-bridge" , "--port" , "9224" ]
}
}
}
Then use ws://localhost:9224 in Step 2.
Step 2: Connect the AIPex Extension to the Bridge After the MCP server is registered and running:
Open Chrome and click the AIPex extension icon
Go to Options (or right-click the icon → "Extension options")
Find the WebSocket Connection section
Enter: ws://localhost:9223
Click Connect
The bridge and extension will handshake, and all browser tools will become available to the agent.
Verifying the connection: If only a single tool called check_aipex_connection is visible, the extension has not yet connected. Follow Step 2 again, then reload the MCP server in agent settings.
Tool Usage Strategy (IMPORTANT) Always follow this priority order to minimize token cost and latency:
Priority 1 — search_elements (always try first) Query the page's accessibility tree to find elements and get their UIDs. Fast, cheap, requires no screenshot.
search_elements(tabId, "{button,input,textarea,select,a}*")
Priority 2 — UID-based interaction (preferred) Use UIDs returned by search_elements to interact directly:
click(tabId, uid) — click any element
fill_element_by_uid(tabId, uid, value) — type into inputs
hover_element_by_uid(tabId, uid) — reveal menus or tooltips
Priority 3 — capture_screenshot + computer (high-cost fallback only) Use only when search_elements fails after two different query attempts, or when pixel-level interaction is required (canvas, drag-and-drop, sliders).
capture_screenshot(sendToLLM=true) — see the page
computer(action, coordinate) — click/type at pixel coordinates
Standard Workflow get_all_tabs()
→ search_elements(tabId, "<pattern>")
→ click(tabId, uid) OR fill_element_by_uid(tabId, uid, value)
→ [capture_screenshot(sendToLLM=true) to verify if needed]
Available Tool Categories Category Tools Description Tab Management 8 tools Open, close, switch, pin, group tabs UI Interaction 7 tools Click, fill, hover, keyboard, coordinate-based Page Content 4 tools Metadata, scroll, highlight elements/text Screenshots 2 tools Capture visible tab or specific tab Downloads 3 tools Save text as markdown, download images Human Intervention 4 tools Request user input mid-automation
Category Key Tools Tab get_all_tabs, switch_to_tab, create_new_tab, close_tabUI search_elements, click, fill_element_by_uid, computerPage get_page_metadata, scroll_to_element, highlight_elementScreenshot capture_screenshot, capture_tab_screenshotDownload download_text_as_markdown, download_imageIntervention request_intervention, list_interventions
To load complete parameter schemas and examples for every tool:
read_skill_reference("aipex-browser", "references/tools-reference.md")
Common Patterns
Navigate to a URL and click a button create_new_tab("https://example.com")
→ search_elements(tabId, "*[Ss]ubmit*")
→ click(tabId, uid)
Fill a login form get_all_tabs()
→ search_elements(tabId, "{input,textbox}*")
→ fill_element_by_uid(tabId, emailUid, "user@example.com")
→ fill_element_by_uid(tabId, passwordUid, "secret")
→ search_elements(tabId, "*[Ll]ogin*")
→ click(tabId, uid)
Extract page content to markdown get_page_metadata()
→ download_text_as_markdown(content, "page-extract")
Visual verification capture_screenshot(sendToLLM=true)
Troubleshooting Symptom Likely Cause Fix Only check_aipex_connection visible Extension not connected to bridge Open AIPex Options → set WebSocket URL → Connect Port 9223 already in use Port conflict on machine Use --port 9224 in MCP config and ws://localhost:9224 in extension search_elements returns 0 resultsPage uses canvas or non-semantic HTML Fall back to capture_screenshot(sendToLLM=true) + computer tool Connection drops frequently Service worker sleep cycle AIPex uses keepalive pings; reconnect extension from Options if needed Tools appear but calls time out Bridge not receiving WebSocket messages Restart bridge: reload MCP server in agent settings