Browser Use

@Browser Use, navigate to our competitor's pricing page and extract all plan tiers with their monthly costs into a table.

I've extracted the pricing data from the target page. Found 4 plan tiers: Starter ($29/mo, 10 users), Professional ($79/mo, 50 users), Business ($199/mo, unlimited users), and Enterprise (custom pricing, contact sales). The table includes feature comparisons across API access, storage limits, and support tiers. This data was captured from a live browser session and reflects the page state as of this moment.

This example showcases the read-heavy scraping capability using a managed browser session. Be aware that browser time is prepaid and billed per minute—complex pages or slow-loading sites consume more budget. The MCP requires API_KEY auth and will launch a fresh browser profile unless you specify a persistent one.

@Browser Use, create a new browser profile named 'qa-testing' and use it to log into our staging environment at staging.example.com with the credentials from my last message.

I've created a persistent browser profile 'qa-testing' and successfully authenticated to your staging environment. The session cookies are now saved in this profile, so future runs can skip the login flow. The browser navigated to the dashboard and confirmed the 'QA Admin' role is active. This profile will persist across runs until you explicitly delete it.

This demonstrates the write-or-action workflow: creating reusable browser state for authenticated sessions. The profile stores cookies and local storage, which is useful for repeated testing but introduces security considerations—ensure your API key is scoped appropriately and avoid storing production credentials in shared profiles.

@Browser Use, open the last 5 support tickets from our Zendesk queue, screenshot each one, then summarize the common themes and suggest which two need urgent escalation.

I launched a browser session, navigated through your Zendesk queue, and captured screenshots of tickets #8821, #8819, #8815, #8812, and #8809. Common themes: 3 tickets involve API timeout errors (likely related to last week's deployment), 1 is a billing dispute, and 1 is a feature request for SSO. I recommend escalating #8821 (enterprise client reporting revenue impact from timeouts) and #8819 (same root cause, affects 12 users). Screenshots are saved to your workspace for review.

This synthesis example pairs browser automation with AI reasoning to triage support issues. The MCP handles navigation and data capture, while the LLM analyzes patterns. Note that each browser session consumes prepaid time—complex multi-page workflows can add up quickly. Cancel runs early if the task scope changes to avoid unnecessary billing.

When Browser Use beats manual QA for weekly deploys

A 6-person SaaS team ships to staging every Friday and runs the same 12-step smoke test before promoting to prod. Browser Use wins here because you can script the full flow—login, create a test account, trigger the core workflow, verify the output—and run it on demand without burning QA hours. The persistent browser profiles mean your test sessions keep cookies and auth state, so you're not fighting two-factor on every run. The trade-off: if your smoke test needs visual regression checks or pixel-perfect layout validation, Browser Use can't replace that; it's built for functional workflows, not screenshot diffing. If you're spending more than 2 hours a week on repetitive click-through testing, this MCP pays for itself in the first month.

When Browser Use closes the 'works on my machine' gap

A 3-person support team at a B2B app gets tickets like 'the export button doesn't work' with zero context about browser, account type, or data state. Browser Use lets you spin up a managed session, replicate the customer's exact setup—right down to their browser profile and cookies—and record every network call and DOM change while you reproduce the bug. The 39 tools include session recording and workspace archiving, so you can hand the full repro to engineering without a Loom video and a prayer. The limit: if the bug only happens in a specific customer's environment (VPN, firewall, legacy browser), Browser Use can't reach into their network. For bugs that are reproducible in a controlled session, this MCP turns 'I can't reproduce it' into 'here's the exact DOM state when it broke' in under 10 minutes.

When Browser Use handles auth-gated competitor research

A 2-person growth team at a marketplace startup tracks 8 competitor pricing pages and feature launches every Monday. Browser Use is the right call because it can log into paywalled competitor dashboards, navigate multi-step flows, and extract structured data from pages that block headless scrapers. The persistent profiles mean you set up auth once per competitor and reuse it across runs. The workspace API lets you dump scraped data into a shared folder for the team to review. The boundary: if a competitor site uses aggressive bot detection (Cloudflare Turnstile, PerimeterX), Browser Use's managed browsers may still get flagged; you'll need residential proxies or manual fallback. For straightforward auth-gated scraping where the site doesn't actively fight automation, this MCP turns a 90-minute manual task into a 5-minute scheduled run.