Browser Tools MCP provides web browsing capabilities for AI assistants through the @agentdeskai/browser-tools-mcp package. It runs as a Node.js application in a Docker container, configurable via smithery.yaml to adjust port settings and log levels. The implementation uses a non-root user for security and supports both standard and Server-Sent Events (SSE) communication modes. This tool enables AI models to interact with web content, making it valuable for workflows requiring web scraping, content analysis, or automated browsing tasks.
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Highlight AIConsole output, filterable by keyword with paging
Error-level output and uncaught exceptions
XHR/fetch requests with status, timing and bodies
Only failed and 4xx/5xx requests
The element selected in the Elements panel
Which page the browser is currently on
Whether the extension is connected, and capture counts
Every tab with DevTools open, and the id to address it by
Screenshot returned as an image, plus its file path
Reloads the inspected tab
localStorage, sessionStorage and cookies (values gated)
Clears captured telemetry before a clean reproduction
Lighthouse accessibility audit
Lighthouse performance audit with Core Web Vitals
Lighthouse SEO audit
Lighthouse best-practices audit
