Propagating User Identity From AI Agents to Your Tools: Amazon Bedrock AgentCore Gateway and JFrog Artifactory

Amazon Bedrock AgentCore Gateway can provide AI agents with a managed MCP endpoint for accessing backend tools such as JFrog Artifactory while centralizing authentication, policies, and observability. The post focuses on preserving end-user accountability through OAuth 2.0 on-behalf-of token exchange, which converts an inbound user token into a short-lived JFrog token so agent actions are authorized, limited, and audited under the actual user rather than a shared service credential. It compares this approach with header forwarding, which requires targets to trust forwarded identity headers, and three-legged OAuth, which requires users to complete a separate target login. The implementation requires an OIDC provider whose access tokens contain an appropriate audience, issuer, and mappable user claim; a JFrog OIDC integration and identity mapping; an AgentCore OAuth credential provider configured for token exchange; a dynamically listed JFrog MCP gateway target; and IAM permissions for the Gateway execution role. Validation involves directly exchanging a real user token with JFrog and testing the MCP endpoint, while troubleshooting guidance addresses common issues involving cached tool discovery, missing token-exchange settings, token-type labels, unavailable claims, permissions, and unsupported API keys.

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