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Build & Deploy a Simple MCP Server on AWS AgentCore Runtime with Cognito OAuth
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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.
Видео Build & Deploy a Simple MCP Server on AWS AgentCore Runtime with Cognito OAuth канала Cloud Quick Labs
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.
Видео Build & Deploy a Simple MCP Server on AWS AgentCore Runtime with Cognito OAuth канала Cloud Quick Labs
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19 января 2026 г. 18:41:12
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