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aws-agentic-ai - AWS Bedrock AgentCore Expert

Deploys and manages AI agents using AWS Bedrock AgentCore services

Tags

Updated: 2026-06-30

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • upload schema to S3
  • create credential provider
  • create gateway target
  • verify target status
  • manage API credentials
  • rotate credentials
  • monitor credential usage
  • create agent registry
  • register MCP servers
  • submit records for approval
  • search registered resources
  • create evaluator
  • set up online evaluation
  • monitor evaluation scores
  • enable agent observability
  • configure CloudWatch dashboards
  • set up CloudWatch alarms
  • deploy agent runtime

Inputs

  • OpenAPI schema
  • S3 bucket
  • API key
  • IAM role
  • OAuth provider
  • Agent metadata
  • MCP server endpoint
  • Trace data
  • Evaluation criteria

Outputs

  • Gateway targets
  • Credential providers
  • Agent registry records
  • Approved resources
  • Evaluation scores
  • CloudWatch metrics
  • CloudWatch dashboards
  • Agent traces
  • Runtime deployments

Requirements

  • AWS Bedrock AgentCore
  • AWS CLI
  • AWS account
  • MCP documentation tools
  • Model support

Source

  • Spec: SKILL.md

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AWS
Bedrock
AgentCore
AI agents
MCP
upload schema to S3
create credential provider
create gateway target
verify target status
OpenAPI schema
S3 bucket
API key
Gateway targets
Credential providers
Agent registry records