By aws
Build, deploy, and operate applications on AWS with infrastructure-as-code (CDK, CloudFormation), core services (Lambda, API Gateway, Step Functions, ECS/Fargate, ECR, IAM, Bedrock with Knowledge Bases and Guardrails, AWS Blocks), observability (CloudWatch, X-Ray, CloudTrail, ADOT), messaging and streaming (SQS, SNS, EventBridge, Kinesis, MSK), AWS SDKs (boto3, JS v3, Swift), and cost optimization.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore. Use when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing models (Claude, Llama, Nova, Titan). ALSO USE for prompt caching setup and debugging, quota health checks and throttling diagnosis, cost attribution and tracking, migrating between Claude model generations (4.5 to 4.6 to 4.7), chunking strategies, API selection (Converse vs InvokeModel), guardrail capabilities, and model selection. Also covers AgentCore Payments setup (x402, microtransactions, Payment Manager, Connector, Instrument, Coinbase CDP, Stripe Privy, 402 Payment Required, pay for content, paid endpoint, agent payments). NOT for custom model training, Rekognition, or Comprehend.
Analyze AWS costs, find savings, manage budgets, evaluate Savings Plans and Reserved Instances, right-size EC2/Lambda/RDS/EBS with Compute Optimizer, look up service pricing, query CUR with Athena, detect cost anomalies, scope costs to billing views, and monitor Free Tier usage. Triggers on: AWS bill, cost analysis, reduce spend, savings plan, reserved instance, right-size, budget alert, cost optimization, pricing, free tier, cost anomaly, CUR, cost audit, billing view, billing view ARN.
Guides building full-stack applications with AWS Blocks — an Infrastructure-from-Code framework. Applies when creating APIs, selecting Building Blocks (KVStore, DistributedTable, Database, AuthBasic, AuthCognito, Realtime, AsyncJob, FileBucket, etc.), running local development, or deploying AWS Blocks applications. Also covers AWS Blocks topics with validated, version-specific patterns that prevent common mistakes. Triggers when user mentions AWS Blocks; project has aws-blocks/ directory; code imports @aws-blocks packages.
Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.
Author, validate, and troubleshoot AWS CloudFormation templates. Covers template authoring with secure defaults, pre-deployment validation (cfn-lint, cfn-guard, change sets), and root-cause diagnosis of failed stacks using CloudFormation events and CloudTrail correlation.
Executes bash commands
Hook triggers when Bash tool is used
External network access
Connects to servers outside your machine
Help AI coding agents build, deploy, and manage applications on AWS.
The Agent Toolkit for AWS gives AI coding agents the tools, knowledge, and guardrails they need to work with AWS services. It works with the coding agents developers already use — including Claude Code, Codex, Cursor, and Kiro.
The plugins are available on the official Anthropic marketplace (claude-plugins-official) which is added to your Claude Code installation by default.
Use the following commands to install supported plugins from the toolkit:
For aws-core that covers service selection, CDK/CloudFormation, serverless, containers, storage, observability, billing, SDK usage, and deployment:
/plugin install aws-core@claude-plugins-official
Tip: If you get
Plugin not found, update your local marketplace index first:/plugin marketplace update claude-plugins-official
For aws-agents that covers building AI agents on AWS with Amazon Bedrock and AgentCore:
/plugin install aws-agents@claude-plugins-official
For aws-data-analytics that covers data lake, analytics, and ETL workflows with S3 Tables, AWS Glue, and Athena:
/plugin install aws-data-analytics@claude-plugins-official
For aws-agents-for-devsecops used to investigate incidents, review code and execute UAT for release readiness, scan code for vulnerabilities, and run penetration tests with AWS DevOps Agent and AWS Security Agent.
/plugin marketplace add aws/agent-toolkit-for-aws
/plugin install aws-agents-for-devsecops
/reload-plugins
# Or from Claude's official marketplace:
/plugin install aws-agents-for-devsecops@claude-plugins-official
/reload-plugins
# Setup:
/aws-agents-for-devsecops:setup
In your terminal:
codex plugin marketplace add aws/agent-toolkit-for-aws
Then launch Codex and run /plugins to browse and install the aws-core plugin.
Add this repository as a team marketplace from Settings → Plugins → Team Marketplaces → Add Marketplace → Import from Repo, pointing it at aws/agent-toolkit-for-aws. Cursor indexes the plugins listed in .cursor-plugin/marketplace.json on import.
Then open the Plugins panel and install the aws-core plugin (start here), or aws-agents and aws-data-analytics as needed. Each plugin bundles the AWS MCP Server configuration and agent skills.
Add the AWS MCP Server to your Kiro MCP configuration (.kiro/settings/mcp.json):
{
"mcpServers": {
"aws": {
"command": "uvx",
"args": [
"[email protected]",
"https://aws-mcp.us-east-1.api.aws/mcp",
"--metadata", "AWS_REGION=us-west-2"
]
}
}
}
Note: It is recommended to pin to a specific version (e.g.,
@1.6.2) to ensure reproducible behavior and protect against supply chain risks. We recommend regularly checking PyPI for new stable versions and updating accordingly.
Then install skills from this repository:
npx skills add aws/agent-toolkit-for-aws/skills
Prerequisites: You need uv installed. An AWS account with credentials configured locally is required for API calls and script execution, but not for documentation search or skill discovery. See the user guide for detailed setup instructions.
See the AWS MCP Server getting started guide for instructions on configuring the AWS MCP Server with your agent.
Then install skills from this repository:
npx skills add aws/agent-toolkit-for-aws/skills
Prerequisites: You need uv installed. An AWS account with credentials configured locally is required for API calls and script execution, but not for documentation search or skill discovery. See the user guide for detailed setup instructions.
Plugins bundle the AWS MCP Server configuration and agent skills into a single install for your coding agent.
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Sign in to claimnpx claudepluginhub aws/agent-toolkit-for-aws --plugin aws-coreData lake, analytics, and ETL workflows with S3 Tables, AWS Glue, and Athena. Covers managed Iceberg tables on S3 Tables, ingestion from JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Amazon Redshift, Snowflake, BigQuery, and DynamoDB, AWS Glue Data Catalog inventory and asset discovery, federated Athena queries, and vector storage and semantic search on Amazon S3 Vectors.
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore (Strands, LangGraph), connecting tools via Gateway and MCP, multi-agent and A2A orchestration, memory, Cedar policies, evaluation, observability, debugging traces and logs, and production hardening (inbound auth, IAM, rate limiting, cold-start tuning).
Investigate incidents, review code and execute UAT for release readiness, scan code for vulnerabilities, and run penetration tests with AWS DevOps Agent and AWS Security Agent.
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore (Strands, LangGraph), connecting tools via Gateway and MCP, multi-agent and A2A orchestration, memory, Cedar policies, evaluation, observability, debugging traces and logs, and production hardening (inbound auth, IAM, rate limiting, cold-start tuning).
Design, build, deploy, test, and debug serverless applications with AWS Serverless services.
AWS service configuration and deployment automation
36 on-demand AWS and cloud skills, slash commands, agents, and security hooks for Claude Code
Authoritative, source-cited playbook that lets a coding agent autonomously design, configure, deploy, and troubleshoot production-grade AI agents on AWS - Strands Agents SDK, Amazon Bedrock (Converse, Guardrails, Knowledge Bases), and Bedrock AgentCore (Runtime, Memory, Gateway, Identity, Browser/Code Interpreter) - with Terraform-first IaC and CloudWatch/OpenTelemetry observability. Every recommendation traces to an official AWS source.
AIDLC Operations phase automation — self-improving loops, autonomous deploys, continuous evaluation, incident response, and cost governance on AWS. Humans approve at checkpoints; agents execute diagnosis, proposal, and remediation between gates.