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Building a secure auth code flow setup using AgentCore Gateway with MCP clients

AWS quietly shipped OAuth integration for AI agents. Here's why your auth stack just got simpler.

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The KeyNews take

Why it matters

AWS Bedrock AgentCore Gateway now supports OAuth Code flow for MCP servers, enabling production-grade identity authentication for AI assistant requests. This is infrastructure-as-a-feature that removes a critical deployment blocker for enterprise AI teams building multi-user systems.

The key facts

10 to know
  1. AWS Bedrock AgentCore Gateway ships OAuth Code flow support

  2. MCP (Model Context Protocol) servers can now authenticate inbound requests with identity provider tokens

  3. Production-ready setup for AI assistants with per-user authentication

  4. Integration with organization identity providers (not just AWS IAM)

  5. Amazon Bedrock is the deployment platform

  6. AWS Bedrock AgentCore Gateway adds OAuth Code flow support

  7. MCP (Model Context Protocol) server authentication now available

  8. Production-ready setup with identity provider integration

  9. Enables user identity token validation on AI assistant requests

  10. Amazon Bedrock platform expansion for enterprise AI deployment

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: This post demonstrates how to implement Open Authorization (OAuth) Code flow as an inbound authorization mechanism for MCP servers hosted on Amazon Bedrock AgentCore Gateway. By the end of this guide, you will have a production-ready setup where each AI assistant request is authenticated with a…
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