Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
THIS PROJECT IS NO LONGER ACTIVE PLEASE USE A DIFFERENT SOLUTION FOR THIS.
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| Tool | What it does |
|---|---|
| getConsoleLogs | Console output, filterable by keyword with paging |
| getConsoleErrors | Error-level output and uncaught exceptions |
| getNetworkLogs | XHR/fetch requests with status, timing and bodies |
| getNetworkErrors | Only failed and 4xx/5xx requests |
| getSelectedElement | The element selected in the Elements panel |
| getPageInfo | Which page the browser is currently on |
| getConnectionStatus | Whether the extension is connected, and capture counts |
| listBrowserTabs | Every tab with DevTools open, and the id to address it by |
| takeScreenshot | Screenshot returned as an image, plus its file path |
| refreshBrowser | Reloads the inspected tab |
| getBrowserStorage | localStorage, sessionStorage and cookies (values gated) |
| wipeLogs | Clears captured telemetry before a clean reproduction |
| runAccessibilityAudit | Lighthouse accessibility audit |
| runPerformanceAudit | Lighthouse performance audit with Core Web Vitals |
| runSEOAudit | Lighthouse SEO audit |
| runBestPracticesAudit | Lighthouse best-practices audit |
{
"mcpServers": {
"browser-tools": {
"command": "npx",
"args": [
"-y",
"@agentdeskai/browser-tools-mcp@latest"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Cloud browsers for AI agents — automation sessions that run in Browserbase's fleet, not on your machine.