From Prompts to Agents: Setting Up Amazon Bedrock AgentCore for Real AWS Tasks — Part 3

TL;DR

• Agentic AI refers to AI systems that go beyond simple prompt–response behavior.
• Amazon Bedrock AgentCore provides a managed runtime for long-lived agents.
• Model Context Protocol (MCP) is a standardized interface for LLMs and agents to interact with tools without embedding credentials or SDK logic inside the model.
• The agent lives inside AgentCore, not in your UI or Lambda function.
• The implementation flow involves writing agent logic as regular code, packaging it into a container, and pushing it to ECR.
• The high-level path involves initializing MCP servers, containerizing the code, and pushing it to ECR.
• The agent can be hosted on AgentCore using the ECR image and assigned required permissions.