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The best Playwright MCP alternative

Playwright MCP exposes browser controls as model-facing tools. ego(lite) gives the agent a browser-native workspace. ego(lite) completed 93.5% of tasks perfectly in our published benchmark of 31 live-site browser automation jobs, the highest perfect-completion rate measured.

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ego(lite) vs Playwright MCP

Feature comparison between ego(lite) and Playwright MCP.
Featureego(lite)Playwright MCP
How the agent acts on a pageWrites JavaScript that batches multiple actions per turnOne MCP tool call per action, round-trip through the model each time
Token cost per taskLower: Snapshot input plus batched actions, measured per taskHigher: every step re-sends context through the MCP loop
Browser automation on live sites (31 tasks, same model)93.5% perfect, $1.75 per completed task, 6m 38s average71% perfect, $4.82 per completed task, 10m 48s average (measured via playwright-cli)
Reuses your real Chrome loginsYes, one-click Chrome profile import (cookies, sessions, extensions)No. Launches a fresh browser; auth needs manual setup per site
SetupInstall the app, run /ego-browser in your agentAdd Playwright MCP to Claude Code or Codex in each agent's MCP config, then manage the server lifecycle
Parallel task isolationYes, Spaces run tasks side by side in one browserOne session per server; parallelism means multiple server instances
Doubles as your daily browserYes. You browse in your Space, agents work in theirsNo, automation-only browser instance
Reusable skills (coming soon)Distills successful runs into reusable skills for repeat tasks (limited beta)No built-in equivalent
PriceFree, no subscriptionFree, open source

Last updated Aug 30, 2026

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Browser automation benchmark: ego(lite) vs Playwright MCP

This benchmark measures agent browsing on live websites rather than a fixed page fixture: 31 multi-step jobs, many behind login walls, run end to end by ego(lite) and agent-driven Playwright.

agent: pi · model: ChatGPT 5.6 Sol · thinking: max · 31 tasks

  1. ego(lite)93.5%
  2. playwright-cli71.0%

Task completion rate

Every tool got the same 31 tasks: multi-step jobs on live websites, many behind login walls. A task counts only when every requirement is met. No partial credit. Tasks that eat MCP tool-call budgets alive: a week of post analytics from a logged-in X account, the cheapest weekend fare anywhere in a two-month window, deposition prep across a court-records database.

agent: pi · model: ChatGPT 5.6 Sol · thinking: max · 31 tasks

  1. ego(lite)
    93.5%
  2. playwright-cli
    71.0%

Cost per completed task

Failed runs still bill you. This divides total model spend by tasks actually completed, so it prices what a result really costs. Lower is better.

agent: pi · model: ChatGPT 5.6 Sol · thinking: max · 31 tasks

  1. ego(lite)
    $1.75
  2. playwright-cli
    $4.82

Efficiency score

Rubric points earned per thousand model turns: how much finished work each model call buys. Higher is better.

agent: pi · model: ChatGPT 5.6 Sol · thinking: max · 31 tasks

  1. ego(lite)
    6.16
  2. playwright-cli
    4.15

Average task time

Average wall-clock time per task across all 31. ego(lite) finished tasks 63% faster than playwright-cli.

agent: pi · model: ChatGPT 5.6 Sol · thinking: max · 31 tasks

  1. ego(lite)
    6m 38s
  2. playwright-cli
    10m 48s

Real-World Bench is an open-source benchmark: 31 complex real-world browser automation tasks on live websites, every tool driven by the same pi agent with the same model (gpt-5.6-sol, thinking effort max) and graded by the same judge against per-task rubrics. Every score covers all 31 tasks, with no per-task cherry-picking. Playwright MCP itself was not a separate entrant: the bench drives Playwright through playwright-cli, the leaner of Microsoft's two agent interfaces. The MCP server shares the same engine and adds an MCP tool-call round trip on top of each action.

Why ego(lite) is better than Playwright MCP

The difference is the execution surface. MCP makes the model coordinate a tool call for each step; ego(lite) lets the coding agent operate a full browser, compose actions, and return the result. Use the same setup for search, research, extraction, forms, testing, or any web workflow that needs a real session.

93.5% of tasks done perfectly. No other tool tops 78%

Playwright MCP re-reads the page through a tool call at every step, the browser sits idle while the model thinks, and every extra round trip is another chance for a long task to fall apart. On those 31 jobs, agent-driven Playwright ends 29% of tasks short of a perfect score.In ego(lite), every page reaches your agent as a Snapshot: a compressed accessibility tree with stable @N refs it can act on instantly, several actions per JavaScript turn. The agent spends its time doing the task, not parsing pages: 93.5% of the same 31 tasks end perfect, 63% faster than agent-driven Playwright on average task time.

Time to finish a task, shorter is better

  1. ego(lite)
    398 s
  2. playwright-cli
    648 s

Data source - Task: finish an average live-site job

Parallel multitasking, execute faster

One Playwright MCP server drives one browser session, so parallel work means juggling multiple server configs.In ego(lite) there's no cap on how many Spaces you open inside the same browser: each one runs its own task at the same time, driven by the same agent or a different one, on its own imported Chrome profile. None of them ever steals the tab you're using, and you can watch or take over any Space anytime.

No more back and forth Cost fewer tokens

Every Playwright MCP action is a separate tool round-trip that re-sends context through the model.Your agent in ego(lite) batches several actions in a few lines of JavaScript per turn. Stacked with Snapshot input, the same task completes on far fewer tokens overall.

Claude Code · ego(lite)
>/ego-browser Add the first product to the cart, then check checkout loads
●Bash(
ego-browser nodejs <<'EOF' await openOrReuseTab('localhost:3000') await click('.product-card') await click('.add-to-cart') await click('a[href="/checkout"]') cliLog('checkout loaded') EOF
)
⎿Output:
[t=4480ms] checkout loaded
Done. Both steps work.
─── 1 tool call · ↑ 1.1k tokens ───
Claude Code · Playwright MCP
>Add the first product to the cart, then check checkout loads
●playwright - browser_navigate (MCP)(url: "localhost:3000")
⎿Page Snapshot
… +224 lines (ctrl+o to expand)
↑ 1.6k tokens sent so far
Storefront rendered. Opening the first product.
●playwright - browser_click (MCP)(ref: "e18")
⎿Page Snapshot
… +198 lines (ctrl+o to expand)
↑ 3.1k tokens sent so far
Product page is up. Now the Add to cart button.
●playwright - browser_click (MCP)(ref: "e42")
⎿Page Snapshot
… +205 lines (ctrl+o to expand)
↑ 4.9k tokens sent so far
Added. Heading to checkout.
●playwright - browser_navigate (MCP)(url: "localhost:3000/checkout")
⎿Page Snapshot
… +231 lines (ctrl+o to expand)
↑ 6.8k tokens sent so far
Refs are stale after the navigation. Taking a fresh snapshot.
●playwright - browser_snapshot (MCP)
⎿Page Snapshot
… +238 lines (ctrl+o to expand)
↑ 9.2k tokens sent so far
Now waiting for the payment form to render.
●playwright - browser_wait_for (MCP)(text: "Payment")
⎿Page Snapshot
… +229 lines (ctrl+o to expand)
↑ 11.2k tokens sent so far
Confirming the form is actually there.
●playwright - browser_evaluate (MCP)(expression: "!!document.querySelector('form#payment')")
⎿Page Snapshot
… +25 lines (ctrl+o to expand)
↑ 13.6k tokens sent so far
─── 7 tool calls · ↑ 13.6k tokens ───

The same task, the same model. Left: one batched JavaScript call in ego(lite), 1.1k tokens total. Right: Playwright MCP, 7 round trips, tokens climb to 13.6k.

Same Chrome, agent-native

The Playwright MCP server launches a blank browser that gets stuck at SSO, 2FA, and captchas.Built on Chromium, ego(lite) imports your entire Chrome setup in one click. It works like Chrome, so an agent can start from an authorized session; it does not bypass CAPTCHAs, 2FA, SSO redirects, or any site's access controls. When a challenge appears, pause and let a person complete it or switch to an approved source.

Make it a seamless transition

Already have Playwright MCP wired into Claude Code or Codex? Switching takes a few minutes, and you don't have to remove anything.

1

Download ego(lite)

Download ego(lite) and import your Chrome profile in one click. Logins, cookies, and extensions come with it.

2

Run your first task with /ego-browser

Paste one sentence into Claude Code, Codex, or Cursor and hit enter. No MCP server config, no JSON edits, no test script.

Paste into your agent

/ego-browser Open ego.app and check the page for console errors

3

Watch it work

The task runs in its own Space, so your tabs stay untouched. The browser window is real: watch live or take over anytime. Results land back in your agent's CLI.

ego(lite) Spaces overview with four browser tasks running side by side: Claude Code tracking Apple stock on Yahoo Finance, Codex filtering cars by year on cars.com, Hermes finishing a SaaS back-office task, a user scraping X, and a hand tapping + to open another Space

Keep Playwright MCP where its tool protocol fits. ego(lite) gives your agent a broader browser path for search, research, extraction, forms, testing, and other web work, without replacing committed Playwright tests.

When to use each tool

Choose ego(lite) when

  • Your tasks touch logged-in sites: dashboards, back offices, anything behind SSO or 2FA.
  • You want lower per-task token bills. Snapshot input plus batched JavaScript beats one tool call per action.
  • You want tasks running in parallel Spaces while you keep using the same browser.
  • You'd rather skip MCP server configs entirely: install the app, run /ego-browser, done.

Choose Playwright MCP when

  • You're already deep in the MCP ecosystem and want one standard protocol across many tools.
  • Your automation runs headless in CI or on a remote server where a desktop browser isn't available.
  • You need Firefox or WebKit coverage. ego(lite) is Chromium only.
  • You're generating committed Playwright test code and want the agent speaking the same API.

Compare ego(lite) with other browser automation tools

Side-by-side comparisons with Puppeteer, Claude Chrome extension, Browser Harness, Browserbase, and 7 more.

FAQ

What is Playwright MCP?

Playwright MCP is Microsoft's official MCP server for the Playwright automation framework, published as playwright-mcp (you'll also see it written mcp-playwright or playwright-mcp-server). It exposes browser actions (navigate, click, type, snapshot) as MCP tools, so any MCP-capable agent can operate a browser without writing test scripts. It reads pages as accessibility-tree snapshots rather than screenshots, and ships a Chrome extension, the Playwright MCP bridge, for attaching the server to a tab in your running Chrome. It's the default answer to "how do I give my coding agent a browser": well-maintained, free, and backed by the Playwright team.

Is ego(lite) a good Playwright MCP alternative?

Yes, for agent-driven browsing. Playwright MCP is a thin MCP bridge over a fresh Playwright browser; ego(lite) is a full agent browser: real Chrome profile, parallel Spaces, and batched JavaScript execution that cuts per-task tokens. If your goal is committed, repeatable test scripts in CI, plain Playwright is still the right tool. See our ego(lite) vs Playwright page for that comparison.

Is there an ego(lite) vs Playwright MCP benchmark?

Real-World Bench measures the matchup through playwright-cli, the leaner of Microsoft's two agent interfaces; the MCP server shares the same Playwright engine and adds an MCP tool-call round trip on top of each action. On the bench's 31 complex real-world browser automation tasks, all on live websites with the same pi agent, the same model (gpt-5.6-sol, thinking effort max), and the same rubric judge, ego(lite) finished 93.5% of tasks perfectly at $1.75 per completed task, 63% faster on average task time; agent-driven Playwright finished 71% at $4.82. The harness, the tasks, the rubrics, and the raw results are open source in the ego-browser-benchmark-framework repository on GitHub, so every number can be audited or reproduced.

How do I add a browser to Claude Code without Playwright MCP?

The usual route is to add Playwright MCP to Claude Code with claude mcp add, then keep the Playwright MCP server running. The shorter route: install ego(lite) and run /ego-browser inside Claude Code. The agent gets Snapshot access to pages and can execute JavaScript in the browser, with no MCP server configuration and no config edits.

Does Playwright MCP work with Codex? Does ego(lite)?

Both do. Codex supports MCP servers, so a Playwright MCP Codex setup works, with the same one-tool-call-per-action loop and blank profile. ego(lite) plugs into Codex the same way it plugs into Claude Code and Cursor: run /ego-browser, and the agent drives your real logged-in browser. Gemini CLI, Opencode, and custom in-house agents work too.

What about the Playwright MCP Chrome extension (the MCP bridge)?

The official Chrome extension bridges the Playwright MCP server to a tab in your running Chrome, so the agent can reuse that tab's login state. It fixes the blank-profile problem for one tab, but the loop is unchanged (one MCP tool call per action) and there's no isolation: the agent works in the same window you're using. ego(lite) gives the agent your full profile and its own Spaces, so tasks run in parallel without touching your tabs.

Why does Playwright MCP use so many tokens?

Each browser action is a separate MCP tool call, and the model processes the result of every call before making the next one. Long tasks become long chains of round-trips, each carrying context. ego(lite) reduces the round-trips themselves: the agent batches several actions in one JavaScript execution and reads pages as compressed Snapshots, so the savings compound over a whole task. Across those 31 jobs it shows in the bill: $4.82 per completed task for agent-driven Playwright against $1.75 for ego(lite).

Can Playwright MCP use my existing Chrome logins?

Not out of the box, because it launches an isolated browser. You can point it at a persistent profile or a CDP endpoint with manual configuration, but sessions still break on SSO and 2FA. ego(lite) imports your Chrome profile once, and the agent inherits real login state everywhere.

Is ego(lite) free?

Yes. ego(lite) is free with no subscription, and the ego-browser shell is MIT-licensed open source.

Can ego(lite) use my logged-in Chrome session without OAuth?

Yes, when you import a Chrome profile you are authorized to use. The agent works from the cookies and sessions already present in that profile, so there is no separate OAuth connector to configure for each site. Credentials stay in the browser context and should never be pasted into the agent's prompt; SSO, MFA, and site policies still apply, and a challenge may require your manual approval.

Does ego(lite) give an agent the full DOM instead of an accessibility snapshot?

The agent can read a current compressed Snapshot and use JavaScript to inspect permitted DOM or in-page data when the accessible view omits relevant context. That makes the extraction path explicit, but it is not a guarantee that every shadow root, virtualized row, or hidden control is available. Ask it to verify the visible result and stop when the page cannot support the requested evidence.

Can I keep multiple Playwright MCP alternatives running in parallel?

Yes. ego(lite) gives each task its own Space inside one browser, so sessions remain isolated while several jobs run side by side. Keep the task owner and source visible, save artifacts before closing a Space, and do not assume that sharing one Playwright MCP context is safe parallelism—tabs, cookies, and stale assumptions can leak between agents.

Does ego(lite) bypass Cloudflare or CAPTCHA like a stealth browser?

No. A normal, user-controlled browser may avoid the blank-profile mismatch that causes extra verification, but ego(lite) does not defeat Cloudflare, CAPTCHA, rate limits, fingerprint checks, or robots and terms restrictions. If a permitted task reaches a challenge, pause, record the status, and let an authorized person decide whether to complete it or use an official API or licensed source.

Can I automate X or LinkedIn without an official API?

ego(lite) can help an authorized agent read public pages or perform a bounded, user-approved workflow in an existing session, subject to each platform's terms and rate limits. It is not a way to evade login or anti-bot controls, bulk-collect private data, or automate likes, follows, messages, or other engagement at scale. Keep review and a human stop point for any account action.

Give your agent a real browser

Free, runs on your computer, imports your Chrome profile in one click. Works with Claude Code, Codex, Cursor, and any CLI agent that writes code.

Try ego(lite)Read the docs