Usercentrics Acquires MCP Manager to Govern AI Consent
Usercentrics acquires MCP Manager to extend privacy-led consent and governance into AI workflows, helping businesses scale compliant, auditable AI.
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Usercentrics has acquired MCP Manager, a next-generation governance platform for the Model Context Protocol (MCP), in a move that extends privacy-led marketing beyond websites and apps into AI-driven workflows.
The acquisition positions Usercentrics as the first major global data privacy provider to embed consent, auditability and control directly into AI systems. As organisations accelerate the use of AI agents for personalisation and customer engagement, the deal brings much-needed oversight to how data is accessed and used across model-driven interactions.
The combined offering will form a unified Privacy-Led Marketing Suite, managing consent, user preferences and data governance across websites, mobile apps, internal systems and consumer-facing AI agents. By applying the same rigour to AI interactions as to data collection, the platform aims to keep experiences transparent, trusted and aligned with user choice—turning regulatory 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 the EU AI Act moves from phased implementation to enforcement this year, organisations can no longer treat AI governance as an afterthought. By combining our privacy-led suite with MCP Manager’s capabilities, we are helping businesses future-proof their AI strategies—so they can innovate faster, stay compliant and scale responsibly without compromising trust.”
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In practice, the challenge lies at the point where AI meets data. MCPs have rapidly become the industry standard for connecting AI models to organisational systems, but they do not, on their own, address issues such as AI agents accessing customer relationship management data without consent checks or the inability to explain AI decisions to regulators. MCP Manager adds a policy-enforcement layer, giving organisations a central control plane to monitor and govern how AI systems access and use data.
“As businesses deploy AI agents that interact with real customer data, MCP becomes the natural enforcement point for consent and compliance,” said Michael Yaroshefsky, founder of MCP Manager, who joins Usercentrics as Vice President of Artificial Intelligence within its Chief AI Office. “With regulations now taking effect, governed AI infrastructure will become the standard, and together with Usercentrics we are well placed to lead that shift.”
