Securing AI agents involves addressing unique security risks posed by their autonomous behavior, requiring advanced authentication and authorization measures. Organizations must implement continuous monitoring, granular permissions, and robust defense strategies to safeguard against both malicious threats and unintended actions by well-meaning agents. This guide outlines best practices for managing these challenges effectively.

The guide details how to secure an MCP server using OAuth 2.1 and PKCE, emphasizing the importance of authentication and authorization in managing access for AI-powered applications. It covers the architecture of MCP, the evolution of its authentication methods, and the implementation of secure token handling and role-based access control. By following the guide, developers can create systems that are both secure and user-friendly.