A
licenseB
qualityA
maintenanceEnables AI agents to control a stealth Patchright-driven browser via MCP, automating complex web tasks while evading anti-bot systems like Cloudflare, Akamai, Kasada, and DataDome.
66
563 npm
1
MIT
Chrome for AI
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TDQS
B3/5.0
Scored across 70 tools
Disambiguation3/5
Many tools have clear and distinct purposes (e.g., cookie, localStorage, sessionStorage groups), but there is overlap between browser_hover, browser_click, and browser_find for element interaction, and between browser_snapshot and browser_take_screenshot. The highlighted 'browser_video_show_actions' and 'browser_video_hide_actions' are specific to video recording, but there are many generic tools that could cause confusion in an agent.
Naming Consistency4/5
The majority of tools follow a consistent 'browser_<verb>_<noun>' pattern (e.g., browser_cookie_list, browser_navigate). There are a few that break the pattern, such as 'stealth_status' and 'captcha_detect' which use a different prefix, and 'challenge_wait' and 'human_wait' which omit the 'browser_' prefix. However, these are a minority and the patterns within the browser_ prefix are well-maintained.
Tool Count3/5
70 tools is a large number for a single MCP server. While the domain (browser automation and stealth) is broad, this count feels heavy and could be better scoped. Many tools cover niche or low-level operations (e.g., browser_mouse_down/up separately from browser_mouse_click_xy) that might be combined. The count brings the score to borderline high.
Completeness4/5
The tool set provides comprehensive coverage for browser automation, including navigation, interaction, storage, network, video, and stealth features. There are minor gaps, such as no explicit tool for managing browser history (only back) or for handling multiple tabs beyond 'browser_tabs', but the core workflows are well-covered and dead ends are rare.
Maintenance
ActivityMaintained
ResponsivenessNo issues