Apr 11
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=================================================================== 1. SUBSCRIBE FOR MORE LEARNING : https://www.youtube.com/channel/UCv9MUffHWyo2GgLIDLVu0KQ =================================================================== 2. CLOUD QUICK LABS - CHANNEL MEMBERSHIP FOR MORE BENEFITS : https://www.youtube.com/channel/UCv9MUffHWyo2GgLIDLVu0KQ/join =================================================================== 3. BUY ME A COFFEE AS A TOKEN OF APPRECIATION : https://www.buymeacoffee.com/cloudquicklabs =================================================================== In this tutorial, we build a simple MCP (Model Context Protocol) server from scratch and deploy it on AWS AgentCore Runtime, securing the server using Amazon Cognito OAuth authentication. You will learn how MCP servers work internally, how they integrate with AWS AgentCore Runtime, and how to implement enterprise-grade authentication and authorization using Amazon Cognito as the OAuth identity provider. This video focuses on hands-on implementation, real deployment steps, and practical architecture decisions—without unnecessary theory. By the end of this video, you will have a working MCP server running on AWS, protected with OAuth, and ready to be used in agentic AI, LLM tooling, and enterprise AI workflows. What You Will Learn What Model Context Protocol (MCP) is and why it matters for AI agents Architecture of a simple MCP server How AWS AgentCore Runtime runs and manages MCP servers Deploying an MCP server to AWS AgentCore Runtime Configuring Amazon Cognito as an OAuth 2.0 Identity Provider Securing MCP endpoints using OAuth access tokens End-to-end request flow: Client → Cognito → MCP Server → AgentCore Best practices for secure, production-ready MCP deployments on AWS Architecture Covered MCP Server lifecycle in AWS AgentCore Runtime OAuth 2.0 authentication flow using Amazon Cognito Token validation and secure access to MCP endpoints Enterprise-ready design for AI agent platforms Who This Video Is For Cloud Engineers and Architects working with AWS AI/ML Engineers building agentic AI systems Developers exploring Model Context Protocol (MCP) Platform Engineers designing secure AI runtimes Anyone learning AWS AgentCore, Cognito, and OAuth Prerequisites Basic understanding of AWS services Familiarity with REST APIs Basic knowledge of OAuth (helpful but not mandatory) Technologies Used AWS AgentCore Runtime Model Context Protocol (MCP) Amazon Cognito (OAuth 2.0) AWS IAM Secure token-based authentication AWS AgentCore Runtime, MCP Server, Model Context Protocol, Amazon Cognito OAuth, AWS AI, Agentic AI, Secure MCP Server, AWS OAuth Authentication, LLM Agents, AWS Bedrock Agents, AI Platform Engineering Repo Link : https://github.com/RekhuGopal/awsaiquicklabs #mcpserver #aws #awsagentcore #awsagentcoreruntime #mcp #mcpserver #modelcontextprotocol #mcptutorial #mcpserveraws #deploymcp #buildmcpserver #ai #artificialintelligence #agenticai #aiagents #llmagents #aimcpserver #awsai #awsbedrock #bedrockagentcore #amazoncognito #cognito #cognitooauth #oauth #oauth2 #oauthauthentication #secureapi #awsiam #awssecurity #identitymanagement #cloudengineering #platformengineering #devops #cloudarchitecture #awstutorial #handsonaws #awsdemo #cloudquicklabs Disclaimer: Unauthorized copying, reproduction, or distribution of this video content, in whole or in part, is strictly prohibited. Any attempt to upload, share, or use this content for commercial or non-commercial purposes without explicit permission from the owner will be subject to legal action. All rights reserved.