F
licenseNot graded
qualityC
maintenanceDeploys and manages MCP tools on Amazon Bedrock AgentCore Runtime, enabling knowledge base retrieval and AWS infrastructure management through Streamlit applications.
-
AWS CDK MCP Server
by AkM-2018
Related Servers
Alternatives to AWS CDK MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityFmaintenanceProvides 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.119 PyPIMIT
- AlicenseBqualityDmaintenanceProvides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.7Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables LLMs to perform automated compliance scanning of AWS infrastructure against PCI-DSS, CIS, and Well-Architected frameworks. It provides tools for scanning, remediation, and audit report generation.MIT
- AlicenseNot gradedqualityCmaintenance36 enterprise MCP tools for AWS security, infrastructure generation, AI workflows, and agent governance. IAM validation, MFA compliance, CloudFormation/SAM generation, DynamoDB design, OAuth validation, vector embeddings, error analysis, data lake readiness, 12 ACI governance tools for AI agent safety, and 4 local interview tools.38 npmMIT
AWS SRA Verify MCP Serverofficial
AlicenseAqualityBmaintenanceEnables AI agents to assess AWS environments against the AWS Security Reference Architecture (SRA) by providing tools to discover, describe, and run security checks across AWS services and accounts.53Apache 2.0
TDQS
B3.2/5.0
Scored across 7 tools
Disambiguation4/5
Most tools have distinct purposes focused on different aspects of CDK development: guidance, security analysis, construct discovery, and documentation. However, 'ExplainCDKNagRule' and 'CheckCDKNagSuppressions' both relate to CDK Nag security analysis and could potentially overlap in usage scenarios, though their specific functions differ (rule explanation vs. suppression checking).
Naming Consistency2/5
The naming is highly inconsistent with multiple patterns: 'CDKGeneralGuidance' (CamelCase), 'CheckCDKNagSuppressions' (CamelCase with verb prefix), 'ExplainCDKNagRule' (CamelCase with verb prefix), 'GenerateBedrockAgentSchema' (CamelCase with verb prefix), 'GetAwsSolutionsConstructPattern' (CamelCase with verb prefix), 'LambdaLayerDocumentationProvider' (CamelCase), and 'SearchGenAICDKConstructs' (CamelCase with verb prefix). There's no unified naming convention across the toolset.
Tool Count4/5
With 7 tools, the count is reasonable for a CDK-focused server. The tools cover guidance, security analysis, construct discovery, and documentation - a well-scoped set that doesn't feel overly sparse or bloated. However, the scope is somewhat broad (covering both general CDK and specific GenAI/Bedrock constructs), which slightly reduces the appropriateness.
Completeness3/5
The toolset covers several important CDK areas: guidance, security analysis (Nag), construct discovery (Solutions Constructs and GenAI constructs), and documentation. However, there are notable gaps in core CDK operations - no tools for actually deploying, synthesizing, or managing CDK stacks/applications. The focus is heavily on advisory and discovery functions rather than operational capabilities.
Maintenance
ActivityInactive
ResponsivenessNo issues