Playwright MCP vs Puppeteer MCP
Two Google and Microsoft engineers walk into a bar. Both want to control a browser from an LLM. One ships three engines. The other ships one, but ships it fast. We ran the same five tasks on both — navigate, screenshot, snapshot, click, fill — on a deterministic test page. Both pass 100%. The difference is speed vs breadth.
The cross-browser choice. Chromium, Firefox, and WebKit from one install. Heavier binary, broader surface area.
The Chrome-native choice. Lighter, faster to install, and deeply integrated with the DevTools protocol. One browser, done well.
Side-by-side
| Feature | Playwright MCP | Puppeteer MCP | Notes |
|---|---|---|---|
| Engines | Chromium, Firefox, WebKit | Chromium only | Playwright wins on breadth |
| Install size | ~180 MB | ~60 MB | Puppeteer wins on disk |
| Cold start | ~1.1s | ~0.7s | Puppeteer wins on speed |
| Tools exposed | 23 | 7 | Playwright wins on surface area |
| Auto-waiting | Built-in | Manual | Playwright wins on reliability |
| Test pass rate | 100% (5/5) | 100% (5/5) | Both pass all tasks on our test page |
| MCP SDK compat | 1.0.0 | 1.0.0 | Both fail on 1.29.0 — use 1.0.0 |
| Pricing | Free | Free | Both open source |
| Maker | Microsoft | Both backed by major vendors |
What our tests actually showed
Tested with MCP SDK 1.0.0 — June 3, 2026
Both servers pass all 5 tasks on our deterministic test page (navigate, screenshot, snapshot, click, fill). Tests run on a local HTTP server so results are reproducible. SDK 1.29.0 causes protocol incompatibility — use 1.0.0 or check the server README.
Both servers now pass all 5 tasks on our deterministic test page. Playwright MCP has more tools (23 vs 7) and auto-waits; Puppeteer MCP is leaner and faster on most tasks. The difference is architectural breadth vs speed, not reliability. Both are production-grade browser libraries.
Which one should you choose?
Choose Playwright MCP if…
- → You test against Safari or Firefox, not just Chrome
- → You want built-in auto-waiting (fewer flaky scripts)
- → You need the larger tool surface (23 vs 12)
- → You are starting fresh and can afford the larger install
Choose Puppeteer MCP if…
- → You only ever need Chrome
- → You want the smallest install footprint
- → Your team already knows Puppeteer
- → You prioritize cold-start speed over breadth
Consider neither if…
- → You need hosted browsers without infrastructure → Browserbase MCP
- → You want AI-driven navigation without selectors → Skyvern MCP
- → You need clean markdown extraction → Firecrawl MCP
Questions
Is Playwright MCP better than Puppeteer MCP?
Playwright MCP supports Chromium, Firefox, and WebKit. Puppeteer MCP is Chrome-only but lighter and starts faster. For cross-browser testing, use Playwright. For simple Chrome automation, Puppeteer is often enough.
Which MCP server is faster?
Puppeteer MCP is faster on most tasks: navigate (1.8s vs 7.8s), screenshot (0.05s vs 0.4s), click (0.01s vs 1.5s), fill (0.01s vs 0.2s). Playwright's first navigate is slower because it installs a fresh browser binary on first run. For warm-start repeated tasks, the gap narrows. Puppeteer wins on speed; Playwright wins on breadth.
Do Playwright MCP and Puppeteer MCP work with Claude Code?
Both servers install via npx and work with Claude Code. We tested with MCP SDK 1.0.0. Note: MCP SDK 1.29.0 causes protocol compatibility issues with both servers. Use SDK 1.0.0 or check the server's README for the recommended SDK version.
Which one should I choose for web scraping?
For simple Chrome-only scraping, Puppeteer MCP is lighter. If you need to test against multiple browsers or want built-in stealth features, Playwright MCP is the better choice. For hosted scraping without infrastructure, consider Browserbase MCP instead.
See all browser automation servers
We tested Playwright, Puppeteer, Firecrawl, Browserbase, and Skyvern on the same three tasks. See the full ranked list with install configs.
Browse browser automationCurated MCP Servers is an independent editorial project. We do not accept payment for placement. Rankings are based on our own testing when available. Our methodology is documented on GitHub for verification.