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amazon-bedrock-agentcore-sa…/02-use-cases
Sunita Koppar 90ff84e1b2 Lakehouse agent - ensures identity propagation from logged in federated user to ensure row level security on data fetched from databases supported by MCP tools on MCP server (#853)
* Lakehouse agent which supports role based access control and row level data access protectionat data layer

* Updated the auth flow and moved instructions into notebooks

* Completed a draft

* notebooks added

* Fix: Add aws_session_utils.py to MCP server and update import

* Debug: Add version print statement to verify deployment

* Replace print statements with logging module for OpenTelemetry capture

* Update agent JWT config to accept both app and M2M client IDs

* End to end testing. Readme updated with screenshots

* End to end testing. Readme updated with screenshots

* Added streamlit notebook

* Removed redundant files

* Added Gi and Sunita to CONTRIBUTORS.md

* Added alias

* Update time needed to test values

* added cleanup notebook

* Added architecture diagram

* Ensured local files are cleaned up which was causing stale state of the MCP server and leading to Auth issues

* Ignore errors for optional parameters

* Fixed cleanup issues and ensured end to end cleanup and restore

* Explanation of oauth and authentication flow from user to MCP

* Fixed typo

* updated README

* Correct README to remove Lake Formation references. Lake Formation does not support dynamic column filters. Reverting to use interceptors only

* Added TODO with current limitations of Lakeformation

* Added TODO with current limitations of Lakeformation

* Cleanup of acct id masking file

* Added SSO based credential loading which will default to region of the SSO profile as fallback if no valid credentials are available in .env

* Fixing region resolution to be consistent resolution pattern

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Signed-off-by: Sunita Koppar <47020304+skopp002@users.noreply.github.com>
Co-authored-by: Sunita Koppar <skoppar@amazon.com>
Co-authored-by: Gi Kim <giryoong@amazon.com>
2026-01-26 15:19:00 -05:00
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💡 Amazon Bedrock AgentCore Use Cases

Welcome to the use cases section of the Amazon Bedrock AgentCore samples repository!

This folder contains end-to-end applications that demonstrate how to apply Amazon Bedrock AgentCore capabilities to solve real business problems. Each use case provides complete implementation with detailed explanations and deployment instructions.

🏗️ Architecture Patterns

These use cases demonstrate various architectural patterns:

  • Single Agent: Focused solutions for specific tasks
  • Multi-Agent: Collaborative agent workflows using different frameworks
  • Full-Stack: Complete applications with frontend, backend, and deployment
  • Integration: Connecting with external systems and APIs
  • Authentication: Various identity providers (Cognito, Okta, Google, EntraID)

🚀 Getting Started

Each use case includes:

  • Complete source code and configuration
  • Step-by-step deployment instructions
  • Architecture diagrams and explanations
  • Testing and validation scripts
  • Cleanup procedures

Choose a use case that matches your requirements and follow the individual README for setup instructions.