chrome-devtools-mcp vs MCPSafari
chrome-devtools-mcp: chrome-devtools-mcp enables AI coding assistants like Gemini, Claude, and Copilot to interact with a live Chrome browser via the Model-Context-Protocol (MCP). It grants AI full access to Chrome DevTools for reliable automation, deep debugging, and detailed performance insights.; MCPSafari: MCPSafari is a native Safari MCP server that gives AI agents full control over Safari on macOS. It provides 23 secure tools for tab management, navigation, page reading, interaction, screenshots, JavaScript execution, and debugging. Built with Swift and a Manifest V3 Safari extension, it offers better performance and privacy than Chrome-based alternatives.
TL;DR
- You want an agent to record a Chrome performance trace and get insights from it; the README lists performance_start_trace, performance_stop_trace and performance_analyze_insight.
- You need to inspect network requests, console messages and screenshots of a page while debugging it.
- You want the agent to attach to a Chrome you already have running, using --browser-url, --ws-endpoint or --autoConnect (Chrome 144+).
- You need Firefox or Safari: the project is built on Chrome DevTools and targets Chrome.
- You want a general-purpose automation or test runner across browsers; Playwright MCP is the closer fit.
- You cannot run Node.js 20.19 or newer, which the README lists as a requirement.
Give Claude, Cursor, or any MCP-compatible AI the ability to browse and interact with websites
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