Agent-to-agent OAuth: a guide for secure AI agent connectivity with MCP

Agent-to-agent OAuth is a method for AI agents to securely authenticate and authorize interactions with applications' APIs, using well-established OAuth 2.0 standards to grant scoped, revocable access tokens. This approach allows AI agents to act on behalf of users without handling sensitive credentials like passwords or API keys, emphasizing user control through explicit consent and organizational policies. The Model Context Protocol (MCP) complements this by providing a standardized framework for AI agents to connect with external applications, akin to a universal "USB-C port" for AI services. Stytch's Connected Apps facilitates this integration by managing the OAuth token lifecycle, including issuance, validation, refresh, and revocation, thereby simplifying the implementation of secure AI agent connectivity. This method not only enhances security by limiting access to precisely defined scopes and enabling easy revocation but also aligns with industry standards, ensuring consistent, reliable, and secure interactions between AI agents and applications.

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