Get detailed explanations and remediation steps for AWS CDK Nag security rules to ensure infrastructure follows AWS Well-Architected best practices.
Apache 2.0
109,229 tools. Last updated 2026-04-17 13:31
- Get prescriptive AWS CDK advice for building applications, including infrastructure patterns, security compliance, and development guidance.Apache 2.0
- Deploy or destroy AWS infrastructure on LocalStack using CDK, Terraform, or CloudFormation. Manage local development environments by applying infrastructure-as-code from project directories.Apache 2.0
- Scans AWS CDK code to identify Nag security rule suppressions that require human review and justification for compliance oversight.Apache 2.0
- Retrieve information from AWS Knowledge Bases using queries to access documentation and resources for AWS services and solutions.
- Find AWS CDK constructs for generative AI by searching names, descriptions, or types. Dynamically fetches current documentation from GitHub repositories.Apache 2.0
Matching MCP Servers
- -securityAlicense-qualityProvides offline access to AWS CDK API references and integration test code samples for both stable (aws-cdk-lib) and alpha (@aws-cdk) modules, enabling developers to browse CDK documentation through MCP resources.Last updatedMIT
- AsecurityAlicense-qualityProvides guidance and tools for the AWS Cloud Development Kit, including infrastructure patterns, GenAI constructs, and security compliance via CDK Nag. It streamlines development by generating Bedrock Agent schemas and providing comprehensive documentation for Lambda layers and AWS Solutions Constructs.Last updated7Apache 2.0
Matching MCP Connectors
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access. The agent decides how deep to dig.