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Let a director model orchestrate browser reverse-engineering and automated web analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "frx-director-mcp" yet — see the docs or source repo.
Use frx-director-mcp to open this site, automatically walk through the login and search flows, identify frontend API requests, key parameters, and authentication methods, then summarize them in a structured report.
A structured analysis listing endpoints, request parameters, authentication methods, and call flows.
With frx-director-mcp, visit the target page, analyze button clicks, form submissions, and dynamic loading behavior, explain how the page interacts with the backend, and highlight key scripts and event chains.
A page interaction report covering event triggers, script locations, and frontend-backend communication paths.
Use frx-director-mcp to have a director model plan the steps and a worker model execute tools, then batch-visit a set of pages, detect elements, log requests, summarize unusual behavior, and return results in a consistent format.
Standardized batch reconnaissance results for follow-up review, testing, or security analysis.
Let AI control Firefox for page actions, screenshots, and network inspection.
Debug browsers, reverse engineer web apps, and automate frontend issue investigation.
Automate browsers to capture web page console logs for debugging and testing.
Let AI control a browser for web tasks, extraction, and testing.
Automate browser navigation, interaction, and web data extraction for online tasks.
Let AI browse via your real Chrome for extraction and multi-step workflows.