amazon-bedrock-agentcore-samples/04-infrastructure-as-code

Infrastructure as Code Samples for Amazon Bedrock AgentCore

Deploy Amazon Bedrock AgentCore resources using CloudFormation templates or AWS CDK.

Overview

These Infrastructure as Code samples enable you to:

• Deploy AgentCore resources consistently across environments
• Automate infrastructure provisioning with Infrastructure as Code
• Maintain version control of your infrastructure
• Implement AWS best practices for security and monitoring

Choose your preferred approach:

• CloudFormation - YAML/JSON templates for declarative infrastructure
• CDK - Python code for programmatic infrastructure

Samples

1. Basic Agent Runtime

Deploy a simple AgentCore Runtime with a basic Strands agent - no additional tools or memory.

What it deploys:

• AgentCore Runtime with simple agent
• ECR Repository and automated Docker builds
• IAM roles with least-privilege policies

Use case: Learning AgentCore basics without complexity
Deployment time: ~5-15 minutes
Estimated cost: ~$50-100/month

Implementation: CloudFormation | CDK

2. MCP Server on AgentCore Runtime

Deploy a complete MCP (Model Context Protocol) server with automated Docker building and JWT authentication.

What it deploys:

• AgentCore Runtime hosting MCP server
• Amazon Cognito for JWT authentication
• Automated ARM64 Docker builds

Sample MCP Tools: add_numbers, multiply_numbers, greet_user
Deployment time: ~10-15 minutes
Estimated cost: ~$50-100/month

Implementation: CloudFormation | CDK

3. Multi-Agent Runtime

Deploy a multi-agent system where Agent1 (orchestrator) can invoke Agent2 (specialist) for complex tasks.

What it deploys:

• Two AgentCore Runtimes with agent-to-agent communication
• IAM roles with agent-to-agent invocation permissions
• Separate ECR repositories for each agent

Architecture: Agent1 routes requests and delegates to Agent2 for detailed analysis
Deployment time: ~15-20 minutes
Estimated cost: ~$100-200/month

Implementation: CloudFormation | CDK

4. End-to-End Weather Agent with Tools and Memory

Deploy a complete weather-based activity planning agent with browser automation, code interpreter, and memory.

What it deploys:

• AgentCore Runtime with Strands agent
• Browser Tool for web scraping weather data
• Code Interpreter Tool for weather analysis
• Memory for storing user preferences
• S3 bucket for results storage

Features: Scrapes weather.gov, analyzes conditions, stores preferences, generates recommendations
Deployment time: ~15-20 minutes
Estimated cost: ~$100-150/month

Implementation: CloudFormation | CDK

Prerequisites

Before deploying any sample, ensure you have:

1. AWS Account with appropriate permissions
2. AWS CLI installed and configured
3. Access to Amazon Bedrock AgentCore (preview)
4. IAM Permissions to create:
   • CloudFormation stacks (for CloudFormation samples)
   • IAM roles and policies
   • ECR repositories
   • Lambda functions
   • AgentCore resources
   • S3 buckets (for weather agent)

For CDK samples, also install:

• Python 3.8+
• AWS CDK v2.218.0 or later

Repository Structure

04-infrastructure-as-code/
├── README.md                          # This file
├── cloudformation/                    # CloudFormation samples
│   ├── README.md                      # CloudFormation-specific guide
│   ├── basic-runtime/
│   ├── mcp-server-agentcore-runtime/
│   ├── multi-agent-runtime/
│   └── end-to-end-weather-agent/
└── cdk/                              # CDK samples
    ├── README.md                     # CDK-specific guide
    ├── basic-runtime/
    ├── mcp-server-agentcore-runtime/
    ├── multi-agent-runtime/
    └── end-to-end-weather-agent/

Additional Resources

• Amazon Bedrock AgentCore Documentation
• AWS CloudFormation Documentation
• AWS CDK Documentation
• Original Tutorials