chrome-devtools-mcp vs oya-browser
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.; oya-browser: Oya Browser is a unique web automation solution where the automation engine is built directly into the browser, rather than relying on external debugging protocols, making agents appear more human and less prone to bot detection. It enables AI agents to interact with websites, remember logins, record and replay complex tasks, and offers robust self-hosting options for scalable deployments.
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.
**Automating Repetitive Web Workflows**: Record and replay complex tasks like form filling, data entry, and multi-step processes on various websites without constant model intervention.
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