CookieYes Integrates Consent Management into AI Chatbots

This integration bridges the gap between complex privacy workflows and everyday AI assistants. By leveraging the Model Context Protocol, the platform allows users to query banner health or trigger site-wide scans without navigating through administrative menus. Agency professionals managing multiple domains can now request status updates across client portfolios in a single conversation, while developers can pull installation snippets on demand.

The system prioritizes oversight by splitting its ten available tools into read-only functions and active commands. Any action that alters a banner’s appearance or initiates a scan requires explicit user approval before execution. Security remains a central pillar of the release; the architecture utilizes OAuth 2.1 with PKCE for authentication, and the AI models remain siloed from sensitive data like billing records, personal user information, or raw consent logs. According to CEO Anvar T.K., this shift aims to lower the barrier for maintaining privacy compliance across large-scale web operations. The functionality is now available to all users across every subscription tier, including the free plan.