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Enable stealthy Chrome automation and web interaction for LLM agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "zendriver-mcp" yet — see the docs or source repo.
Use zendriver-mcp to open my test site's login page, simulate a real Chrome user to complete the login, record each step, element state, and whether login succeeds; if it fails, return reproducible error details and screenshot suggestions.
A login flow test report with actions, key element states, pass/fail result, and debugging suggestions.
Use zendriver-mcp to visit a JavaScript-rendered product listing page, wait until content loads, then extract product names, prices, and links and return them in a structured table.
Structured data containing product names, prices, and links, ready for analysis or export.
Use zendriver-mcp to open the target page, inspect console errors, failed network requests, and key DOM accessibility with DevTools, then explain likely causes of the issue and suggest fixes.
A page diagnostics report covering console errors, network failures, DOM issues, and recommended fixes.
Automate browser navigation, interaction, and web data extraction for online tasks.
Control Chrome via MCP for browsing, form filling, screenshots, and logs.
Control Chrome with Playwright for end-to-end browser automation and iframe diagnostics.
Control a real Chrome browser for browsing, interaction, and page reading.
Control and inspect a live Chrome browser for automation, debugging, and performance analysis.
Let multiple AI agents concurrently control and inspect a live Chrome browser.