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Power AI with real data, without sacrificing trust or compliance

Govern how AI uses consumer and business data, simply and safely. MCP Manager by Usercentrics offers a centralized way to monitor and audit AI agent access to data through the Model Context Protocol (MCP), making it easy for teams to deploy compliant AI systems.
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MCP Manager by Usercentrics is the governance layer for AI systems built on MCP. Get visibility, and enforce data access policies as usage and complexity grow.

Every MCP interaction is protected with built-in security controls that reduce risk from prompt injection, unauthorized access, and tool misuse.

Gain a clear understanding of which MCP servers are used in your organization and by whom. Access audit logs for stakeholders and get alerts for unusual behavior.

Fast & reliable MCP deployment

MCP Manager by Usercentrics makes it easy to deploy MCP servers into real-world environments. Configure, launch, and manage MCP servers without DevOps expertise. Avoid misconfigurations and speed up time to production using proven and reliable development workflows.

Reduce token costs

Uncontrolled MCP tool access leads to bloated context, wasted tokens, and unpredictable AI spend. MCP Manager by Usercentrics keeps AI usage efficient by provisioning only the tools teams need for scaling MCP adoption productively. For many companies, this results in estimated savings of approximately $300 to $400 per MCP user each year from reduced token usage alone.

Enterprise-grade protections for any organization

MCP Manager by Usercentrics protects your AI data ecosystem with layered MCP security and access controls for real-world AI workflows. Detect anomalous behavior, enforce data policies, and prevent risky or unauthorized actions before they reach models or tools. These guardrails are easy for teams to implement, keeping AI systems safe and compliant.

Ready to take control of your MCP stack?

See how MCP Manager by Usercentrics helps teams deploy, secure, and scale MCP with confidence.

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Frequently asked questions

Model Context Protocol (MCP) is the standard way for AI systems and agents to connect to external data and tools. For example, the popular CRM platform HubSpot now offers an MCP server that allows marketers to work with CRM data directly from their LLM of choice, such as Claude or ChatGPT.

MCP makes AI far more useful in real work, but it does not provide the governance and controls needed to run AI systems safely and compliantly. MCP Manager solves this by giving teams a way to monitor and control how business and consumer data flows into LLMs, making MCP practical for production use.

MCP Manager is a centralized gateway for Model Context Protocol (MCP) that helps teams of any size deploy, govern, and secure AI agents as they connect to business systems. It monitors and controls how data flows between AI agents and MCP servers, enforces policies at runtime, and provides audit logs, making it easy to deploy compliant AI without requiring deep AI infrastructure or DevOps expertise.

While MCP makes it possible for AI agents to connect to business systems, it does not provide visibility into how data is accessed or control over how agents behave in production.

MCP Manager acts as a gateway between AI agents and MCP servers, giving teams a simple way to monitor data flows, apply policies, and maintain audit logs for stakeholders and auditors. This makes it easier for teams of any size to deploy AI responsibly and prepare for emerging regulations such as the EU AI Act, which begins enforcement in 2026.

MCP Manager provides a set of core capabilities:

  • Deployment and enablement
    Simplifies how teams deploy and manage MCP servers, making it easy to get AI agents into production without specialized infrastructure or DevOps expertise.
  • Observability and monitoring
    Provides centralized visibility into AI activity through logs, dashboards, and alerts that show how data moves between AI agents and business systems. This supports audit requests and helps teams understand and manage AI token usage and cost.

Governance and security
Applies guardrails at runtime, including access controls, policy enforcement, and the ability to redact or filter sensitive data such as PII before it reaches LLMs. It also helps reduce common MCP security risks, including rug pulls and prompt injection.

MCP Manager provides a centralized control plane that allows teams to monitor AI activity across MCP servers through detailed audit logs, real-time monitoring, and alerts. This makes it easier to answer audit and compliance questions, investigate unexpected behavior, and maintain oversight as AI usage grows within a team or organization.

MCP introduces powerful new capabilities, but it also comes with unique security risks that teams need to manage. Prompt injection, data exfiltration, and MCP server rug pulls are among the risks teams must be able to detect and prevent as AI systems move into production.

MCP Manager helps teams reduce common MCP security vulnerabilities by providing monitoring, alerts, and runtime controls over how data is shared with LLMs. This includes the ability to redact or filter sensitive data such as PII before it ever reaches a model, helping teams protect data and maintain system integrity as AI usage grows.

No. While MCP Manager is used by large enterprises with complex security and compliance needs, it is designed to be just as accessible for smaller teams. The platform makes it easy to deploy and manage MCP gateways and servers without requiring dedicated DevOps or AI infrastructure expertise.

At the same time, MCP Manager supports enterprise requirements such as identity and access controls, team provisioning, audit logging, and centralized governance, allowing teams to scale AI usage as their needs grow.

Yes, MCP Manager supports all common MCP deployment types, including remote, managed, and local (also known as workstation) servers. Many organizations use an MCP hybrid model, running different types of servers for different use cases. MCP Manager provides a way to deploy, monitor, and govern them all.