MCP Manager Is Joining Usercentrics
Today, we’re excited to share a major milestone for MCP Manager: we’ve been acquired by Usercentrics, a global leader in data privacy technology, pioneering Privacy-Led Marketing for the digital economy.
By joining Usercentrics, we’re aligning with a company that has set the standard for how brands collect and use data responsibly. Usercentrics has built its platform around a simple principle: companies should only use data in ways people understand and explicitly consent to. That philosophy closely mirrors why we built MCP Manager in the first place and provides a strong foundation for extending those same standards into AI-driven workflows.
Building the governance and consent layer for AI
As businesses adopt AI, they are using MCP to connect agents and models to business systems that contain consumer and business data. Today, most usage supports internal workflows. However, as MCP Apps mature, brands can now offer customer-facing AI interactions that allow customers to ask questions and take actions through AI instead of navigating a website or app.
Whether AI is used internally or exposed to customers, the requirement is the same: personal and consumer data cannot flow into models without clear consent, governance, and auditability.
This is the gap we built MCP Manager to address, using MCP as the natural control point for enforcing how AI systems access data.
By joining Usercentrics, we are able to work alongside the Privacy-Led Marketing leader to extend consent and data guardrails into AI-driven workflows. Together, we will apply the same rigor that governs websites and apps to how AI systems access and use data.
AI governance is no longer optional
AI will only become more embedded in the systems, processes, and expectations of companies large and small. MCP is what turns that shift into reality, allowing agents and systems to access and work with real data.
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. Additionally, 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 a centralized interface for monitoring and enforcing policies across MCP servers. And by joining forces with Usercentrics, we’ll provide companies the visibility and control they need to deploy AI responsibly at an accelerated pace and scale.
Looking ahead
MCP Manager and Usercentrics share a core belief: trust, consent, and data governance create a growth advantage. AI systems that prevent sensitive data from reaching models by default give teams the confidence to scale, meet regulatory expectations, and fully realize AI’s value.
As AI becomes part of everyday workflows and customer interactions, organizations need practical ways to apply these principles at the point where AI systems access and use data. By joining forces with Usercentrics, we can deliver enterprise-grade control to companies of all sizes, faster.
