MCP servers unlock powerful capabilities, allowing AI agents to interact with external tools and APIs.
But without dynamic authorization, they also introduce risks: exposing every tool to every user, regardless of their role or permissions. These tools, in certain implementations, can completely bypass the rigorous security model put around traditional APIs and services.
15-45 min.
We’re here to guide you for as long as needed.
Unauthorized tool access
Poor agent and user experience
Brittle, hardcoded logic
What to expect:
We’ll go through your requirements, answer questions, and help you implement dynamic authorization for AI agents and fine-grained permissions in MCP servers, using Cerbos - without rewriting your entire backend.
You’ll leave knowing how to safely expose tools to agents without compromising control, reliability, or auditability.
Overview of MCP security risks
Business requirements and compliance with regulatory frameworks
How Cerbos fits into your tech stack and architecture
Live personalized demo: dynamic authorization for MCP servers
POC support & architecture guidance
Read our blog post to learn how you can implement authorization in your MCP server with Cerbos in 3 steps.
Trusted authorization provider for enterprise companies and everyone building with Zero trust security in mind
Henry Arnold
CTO & Co-Founder @Nook
Increased number of user roles available in the product.
Increased customer adoption with better user experience.