Deploying an HCLS Agent
When to use this skill
- Developer asks "how do I deploy this agent?"
- Developer needs to configure AgentCore Gateway, Runtime, Memory, or Identity
- Developer wants to expose tools as MCP endpoints
- Developer wants to register an agent in the AgentCore Registry
Deployment Components
AgentCore Deployment
├── Runtime — Hosts the agent container
├── Gateway — Exposes tools as MCP endpoints (Lambda targets)
├── Memory — Conversation persistence (semantic, summary, preferences)
├── Identity — Cognito OAuth2 authentication
└── Registry — Agent discovery for multi-agent workflows
Steps
1. Prerequisites
# Install AgentCore CLI
pip install bedrock-agentcore
# Configure
agentcore configure --entrypoint main.py \
-rf agent/requirements.txt \
-er <IAM_ROLE_ARN> \
--name <agent-name>
2. Deploy Infrastructure
Run the prerequisite script (creates Lambda tools, Cognito, Gateway):
./scripts/prereq.sh
This deploys CloudFormation stacks for:
- Lambda functions (tool handlers)
- IAM roles (agent execution, Gateway invocation)
- Cognito user pool (OAuth2 authentication)
- AgentCore Gateway (MCP endpoint with tool targets)
- AgentCore Memory (conversation persistence)
3. Deploy Agent Runtime
# Remove stale config
rm -f .agentcore.yaml
# Launch (builds container, pushes to ECR, deploys to Runtime)
agentcore launch
4. Verify
# Invoke the deployed agent
agentcore invoke '{"prompt": "Hello, can you help me?"}'
# Test Gateway tools independently
python tests/test_gateway.py --prompt "Test query"
# Test memory
python tests/test_memory.py load-conversation
5. Register in AgentCore Registry (optional)
For multi-agent discovery, register the agent:
import boto3
client = boto3.client('bedrock-agentcore')
client.create_registry_record(
registryName="hcls-registry",
recordName="<agent-name>",
description="<rich description for semantic search>",
descriptorType="MCP", # or "A2A" for agent-to-agent
descriptors={...}
)
Deployment Templates
| Template | What it deploys |
|---|---|
agentcore_template/ |
Backend: Runtime + Gateway + Memory + Streamlit UI |
| FAST | Full-stack: React/Amplify + Cognito + AgentCore + CDK |
AWS MCP Servers Used
When deploying, the following AWS MCP servers help:
agentcore-docs— API reference for Gateway/Runtime/Memory/Registryaws-mcp— create IAM roles, manage CloudFormation stacks, configure S3strands-docs— framework patterns for agent code
References
- Deployment scripts:
agentcore_template/scripts/ - Full deployment example:
agents_catalog/28-Research-agent-biomni-gateway-tools/scripts/prereq.sh - FAST template deployment:
agents_catalog/35-Terminology-agent/