Usercentrics acquires MCP Manager, extending consent and data governance into AI workflows as companies prepare for stricter AI regulation.
Usercentrics, a global provider of privacy-led marketing technology, said Tuesday that it has acquired MCP Manager, a governance platform designed to manage oversight and control within AI systems.
The deal positions Usercentrics as the first major data-privacy company to extend consent and data-use controls beyond websites and mobile apps into AI-driven workflows—an area drawing growing scrutiny from regulators and enterprises alike.
The combined offering will create a unified privacy-led marketing suite that manages consent, user preferences, and data governance across digital properties, internal systems, and consumer-facing AI agents. As those agents increasingly drive personalization and customer engagement, extending consent into real-time, model-driven interactions applies the same rigor that has long been used at the point of data collection. The goal, the company said, is to keep AI-powered experiences transparent, trusted, and aligned with user intent—while turning compliance into a competitive advantage.
“With this acquisition, we are defining how companies govern AI at a moment when compliance is no longer optional,” said Donna Dror, chief executive of Usercentrics. As new AI regulations move from phased implementation to enforcement, she added, organizations can no longer afford to treat AI governance as an afterthought. Integrating MCP Manager’s capabilities, she said, will allow companies to scale AI responsibly without sacrificing speed or trust.
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At the center of the challenge is the intersection of AI models and sensitive data. Model Context Protocols, or MCPs, have emerged as a standard way to connect AI systems with enterprise tools and databases. But on their own, they do not prevent AI agents from accessing customer records without proper consent, nor do they provide clear audit trails for regulators. MCP Manager addresses those gaps by adding a policy-enforcement layer that monitors and governs how AI systems access and use data.
“As companies deploy AI agents that touch real customer data, MCP becomes the natural enforcement point for consent and compliance,” said Michael Yaroshefsky, founder of MCP Manager, who will join Usercentrics as vice president of artificial intelligence and chief AI officer. Governed AI infrastructure, he said, will soon be the baseline rather than the exception.
Financial terms of the acquisition were not disclosed.
