Building the governance and consent layer for AI
Today, we’re announcing a major milestone for Usercentrics: We have acquired MCP Manager, a next-generation governance platform for the Model Context Protocol (MCP), built by a team with deep expertise in AI infrastructure.
With this acquisition, Usercentrics becomes the first major global leader in data privacy to extend consent and data guardrails into AI-driven workflows, which gives organizations the oversight, auditability, and control they need to scale AI responsibly.
Consumer data no longer flows only into websites and apps. Increasingly, it flows into AI agents that access business systems, retrieve information, make decisions, and shape customer experiences in real time. As these agents become central to personalization and engagement, extending consent into model-driven interactions is essential. The same rigor that governs data collection must now apply to how AI activates and uses that data.
By combining MCP Manager’s governance layer with the Usercentrics Privacy-Led Marketing Suite, we are creating a unified solution for managing consent, preferences, and data governance across websites, apps, internal systems, and consumer-facing AI agents, thus turning compliance into a strategic advantage.
Where AI connects to consumer data
MCP has rapidly become an industry standard for connecting AI agents and clients to external tools and business systems. But while regular MCP enables connectivity, it does not inherently enforce consent, policies, or explainability including issues like AI agents accessing CRM data without consent checks or teams lacking an overview of AI decisions for regulators.
Usercentrics’ acquisition of MCP Manager addresses this gap by introducing a policy-enforcement layer that gives companies a centralized control plane to monitor and enforce how AI systems access and use data. This ensures AI-driven interactions remain transparent, compliant, and aligned with user expectations, even as organizations scale AI across more workflows.
AI adoption has outpaced AI governance
AI is no longer experimental; it is a business expectation. From large enterprises to SMBs, organizations are rapidly deploying AI to boost productivity and competitive advantage.
But once AI begins touching real customer data, the absence of guardrails becomes a compliance and trust risk.
Regulators, including those enforcing the EU AI Act this year, are demanding governance, audit logs, and transparency. Consumers expect the same level of protection for AI-driven interactions as they do on websites and apps.
Yet many companies lack the infrastructure expertise required to govern AI data flows safely.
MCP Manager solves this by offering an intuitive, centralized interface for monitoring and enforcing policies across MCP servers. It provides the visibility and control needed to deploy AI responsibly and in alignment with user expectations, making governed AI accessible to every organization.
Looking ahead
By acquiring MCP Manager, Usercentrics is extending its role as the trusted control layer for responsible data use across the entire customer journey.
In an AI-driven world, consent is no longer a one-time permission at the moment of collection. It has become the foundation that governs how data is activated, used, and retained throughout its lifecycle.
This shift requires consent and governance to operate directly where AI meets data.
Now that MCP Manager is part of Usercentrics, we are proud to lead that transformation. Together, we will help organizations innovate faster, stay compliant, and build AI systems that are transparent, trusted, and aligned with user preferences.
We’re thrilled to welcome the MCP Manager team to Usercentrics!
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