{"categories":[{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/4"}],"enrichment":{"capability":"Provides an MCP server that validates CloudFormation templates, checks compliance against security rules, troubleshoots failed deployments, and searches CloudFormation and AWS CDK documentation.","skillfed_tags":["aws-infrastructure","cloudformation","mcp-server"],"use_cases":["Validate AI-generated CloudFormation templates before deploying them to catch syntax and schema errors with line-number-specific fix suggestions.","Check infrastructure templates against security and compliance rules using cfn-guard to ensure they meet organizational standards.","Analyze failed CloudFormation stack deployments to diagnose root causes and retrieve CloudTrail evidence for troubleshooting.","Search CloudFormation and AWS CDK documentation to find resource types, properties, and implementation examples during infrastructure design.","Integrate with an MCP client to provide infrastructure-as-code assistance to AI assistants or automation workflows.","Find CDK code samples and constructs across multiple programming languages to accelerate infrastructure development."],"what_it_does":"This package is an MCP (Model Context Protocol) server that acts as a bridge between AI assistants and AWS infrastructure-as-code tooling. It wraps CloudFormation validation (via cfn-lint), compliance checking (via cfn-guard), and documentation search capabilities into a set of callable tools. The server integrates with boto3 and botocore to analyze failed CloudFormation stacks, pattern-match against known failure cases, and provide CloudTrail deep links for troubleshooting.\n\nYou would use this when you need to validate infrastructure templates, ensure they meet security standards, debug deployment failures, or look up CloudFormation and AWS CDK documentation programmatically. It's designed for environments where an AI assistant or automation tool needs to reason about infrastructure code\u2014catching syntax errors, compliance violations, and deployment issues before or after they occur. The package depends on established AWS SDKs and validation tools, so it assumes you have AWS credentials available and are working in an environment where those dependencies can be installed.","worth_installing":"Yes, if you need programmatic validation and troubleshooting for CloudFormation templates or want to expose infrastructure-as-code tools to an MCP client. The package is actively maintained, has no known vulnerabilities, and integrates well-established AWS and validation libraries. Install it if you're building automation around infrastructure templates or connecting AI assistants to AWS tooling; skip it if you only need command-line cfn-lint or cfn-guard directly."},"id":"awslabs-aws-iac-mcp-server","links":{"html":"https://skillfed.io/packages/awslabs-aws-iac-mcp-server","md":"https://skillfed.io/packages/awslabs-aws-iac-mcp-server.md","pypi":"https://pypi.org/project/awslabs-aws-iac-mcp-server/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"permissive","name":"awslabs.aws-iac-mcp-server","python_support":"supports_current","summary":"An Infrastructure as Code MCP server that provides CloudFormation template validation, compliance checking, and deployment troubleshooting capabilities."},"popularity":{"monthly_downloads":164502,"position":10545,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.23"}