The Bottom Line: AgentCore Gateway implements OAuth Code Flow as a standardized inbound authentication pattern to securely authenticate agentic coding assistants against backend tools.
Amazon Bedrock AgentCore Gateway can now use OAuth Code Flow to authenticate AI agents against MCP servers. The solution links organizational identity providers with agentic coding assistants such as Kiro IDE and ensures that every tool request is verified with a valid identity token.
The infrastructure consists of five core components: an organizational identity provider (IdP such as Okta, Microsoft Entra ID, or Amazon Cognito), the end user, the AgentCore Gateway as an OAuth resource server, agentic coding assistants as OAuth clients, and backend MCP servers with optional MCP-OAuth proxy for specification standardization. The gateway validates incoming tokens and forwards requests to the MCP servers.
The authentication flow follows a standardized pattern: the agentic tool (for example, Kiro IDE) establishes a connection to the MCP endpoint of the gateway. If a valid token is missing, the gateway responds with HTTP 401 and a www-authenticate header pointing to the Protected Resource Metadata endpoint of the gateway (/.well-known/oauth-protected-resource). This corresponds to the Protected Resource Metadata (PRM) pattern of the MCP specification. The MCP client downloads the metadata from the gateway, receives the authorization server discovery URL of the IdP, and can then proceed with the standard OAuth Code Flow.
The implementation offers production-ready configurations for common identity providers and demonstrates the step-by-step setup of the AgentCore Gateway and integration with Kiro IDE clients. Every AI assistant request is thereby verified with an identity token issued by the organizational IdP before processing takes place.
Source: aws.amazon.com · Published 2 June 2026
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