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Control Arc Browser on macOS for frontend debugging, DOM tasks, and network monitoring.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "arc-lite-mcp" yet — see the docs or source repo.
Use arc-lite-mcp to open my local development page, locate the navbar button DOM node, inspect its classes, text, and visibility, and tell me why the button is not showing.
Returns the target element's DOM details, visibility status, and likely causes with troubleshooting suggestions.
Use arc-lite-mcp to open the staging homepage, capture all API requests during page load, and list failed requests with URL, status code, response time, and error details.
Provides a network request list and highlights failed endpoints with performance metrics and error details for quick diagnosis.
Use arc-lite-mcp to visit the new login page, verify that the email field, password field, and submit button exist and are interactive, then run one login flow and report the result.
Returns verification results for key UI controls, the interaction steps performed, and whether the login succeeded or failed.
Connect AI to macOS for automating files, apps, browsers, and system tasks.
Build MCP servers and custom agent tools faster with a development framework.
Find nearby places from an address using the ArcGIS map API.
Control a browser with AI for automation, extraction, interception, and screenshots.
Control macOS apps and system actions with natural language automation.
Control and inspect a live Chrome browser for automation, debugging, and performance analysis.