Collection of Kiro powers for enhanced AI agent capabilities. Each power provides specialized tools and workflows for specific development tasks.

Documentation is available at https://kiro.dev/docs/powers/

Build a database with Aurora DSQL - Build and deploy a PostgreSQL-compatible serverless distributed SQL database with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific constraints.

MCP Servers: aurora-dsql, aws-core (optional)

Build an agent with Amazon Bedrock AgentCore - Build, test, and deploy AI agents using AWS Bedrock AgentCore with local development workflow. Amazon Bedrock AgentCore is an agentic platform for building, deploying, and operating effective agents.

MCP Servers: agentcore-mcp-server

AWS AgentCore Runtime with Strands - Build and deploy Strands agents to AWS Bedrock AgentCore Runtime with hardcoded service contract implementations for HTTP, MCP, and A2A protocols. Seamlessly integrate Strands SDK capabilities with AgentCore's managed hosting infrastructure.

MCP Servers: strands-agents, bedrock-agentcore-mcp-server

Build AWS infrastructure with CDK and CloudFormation - Generate well-architected AWS infrastructure with CDK and CloudFormation - access latest documentation, validate templates, and troubleshoot deployments.

MCP Servers: awslabs.aws-iac-mcp-server

Build infrastructure on AWS - Build AWS infrastructure with CDK in Python following AWS Well-Architected framework best practices.

MCP Servers: awspricing, awsknowledge, awsapi, context7, fetch

AWS CloudWatch Observability - Query and analyze metrics, logs and alarms from AWS CloudWatch for troubleshooting and root cause analysis.

MCP Servers: awslabs.cloudwatch-mcp-server

Datadog Observability - Query logs, metrics, traces, RUM events, incidents, and monitors from Datadog for production debugging and performance analysis.

MCP Servers: datadog (HTTPS API)

Dynatrace Observability - Query logs, metrics, traces, problems, and security vulnerabilities using DQL (Dynatrace Query Language) and Davis AI.

MCP Servers: dynatrace-mcp-server

Design to Code with Figma - Connect Figma designs to code components - automatically generate design system rules, map UI components to Figma designs, and maintain design-code consistency.

MCP Servers: figma

Build a database with Neon - Serverless Postgres with database branching, autoscaling, and scale-to-zero - perfect for modern development workflows.

MCP Servers: neon

API Testing with Postman - Automate API testing and collection management with Postman - create workspaces, collections, environments, and run tests programmatically.

MCP Servers: postman

Power Builder - Complete guide for building and testing new Kiro powers with templates, best practices, and validation.

MCP Servers: None (Knowledge Base Power)

SaaS Builder - Build production-ready multi-tenant SaaS applications with serverless architecture, integrated billing, and enterprise-grade security.

MCP Servers: fetch, stripe, aws-knowledge-mcp-server, awslabs.dynamodb-mcp-server, awslabs.aws-serverless-mcp, playwright

Build an agent with Strands SDK - Build AI agents with Strands SDK using Bedrock, Anthropic, OpenAI, Gemini, or Llama models.

MCP Servers: strands-agents

Stripe Payments - Build payment integrations with Stripe - accept payments, manage subscriptions, handle billing, and process refunds.

MCP Servers: stripe

Deploy infrastructure with Terraform - Build and manage Infrastructure as Code with Terraform - access registry providers, modules, policies, and HCP Terraform workflow management.

MCP Servers: terraform (Docker stdio)

See CONTRIBUTING for more information.