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AWS IaC MCP Server

AWS Infrastructure as Code MCP Server

MCP server for CloudFormation template validation, compliance checking, and deployment troubleshooting with pattern matching against 30+ known failure cases.

Features

Template Validation

  • Syntax and Schema Validation - Validate CloudFormation templates using cfn-lint
  • Catch syntax errors, invalid properties, and schema violations with specific fix suggestions

Compliance Checking

  • Security and Compliance Rules - Validate templates against security standards using cfn-guard
  • Check against AWS Guard Rules Registry and Control Tower proactive controls

Deployment Troubleshooting

  • Intelligent Failure Analysis - Analyze and resolve CloudFormation deployment failures
  • Pattern matching against 30+ known failure cases with CloudTrail deep links

Available MCP Tools

validate_cloudformation_template

Validates CloudFormation template syntax, schema, and resource properties using cfn-lint.

Use this tool to:

  • Validate AI-generated CloudFormation templates before deployment
  • Get specific fix suggestions with line numbers for each error

Parameters:

  • template_content (required): CloudFormation template as string
  • regions (optional): List of AWS regions to validate against
  • ignore_checks (optional): List of cfn-lint check IDs to ignore

check_template_compliance

Validates templates against security and compliance rules using cfn-guard.

Use this tool to:

  • Ensure templates meet security and compliance requirements
  • Get detailed remediation guidance for violations

Parameters:

  • template_content (required): CloudFormation template as string
  • custom_rules (optional): Custom cfn-guard rules to apply

troubleshoot_deployment

Analyzes failed CloudFormation stacks and provides resolution guidance.

Use this tool to:

  • Diagnose deployment failures with pattern matching against 30+ known cases
  • Get CloudTrail deep links and specific resolution steps

Parameters:

  • stack_name (required): Name of the failed CloudFormation stack
  • region (required): AWS region where the stack exists
  • include_cloudtrail (optional): Whether to include CloudTrail analysis (defaults to true)

Prerequisites

  1. Install uv from Astral or the GitHub README
  2. Install Python using uv python install 3.10
  3. Configure AWS credentials:
    • Via AWS CLI: aws configure
    • Or set environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION)
  4. Ensure your IAM role or user has the necessary permissions for CloudFormation and CloudTrail access

Installation

CursorVS Code
Install MCP ServerInstall on VS Code

Configure the MCP server in your MCP client configuration (e.g., for Amazon Q Developer CLI, edit ~/.aws/amazonq/mcp.json):

{
"mcpServers": {
"awslabs.aws-iac-mcp-server": {
"command": "uvx",
"args": ["awslabs.aws-iac-mcp-server@latest"],
"env": {
"AWS_PROFILE": "your-named-profile",
"FASTMCP_LOG_LEVEL": "ERROR"
},
"disabled": false,
"autoApprove": []
}
}
}

Windows Installation

For Windows users, the MCP server configuration format is slightly different:

{
"mcpServers": {
"awslabs.aws-iac-mcp-server": {
"disabled": false,
"timeout": 60,
"type": "stdio",
"command": "uv",
"args": [
"tool",
"run",
"--from",
"awslabs.aws-iac-mcp-server@latest",
"awslabs.aws-iac-mcp-server.exe"
],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR",
"AWS_PROFILE": "your-aws-profile",
"AWS_REGION": "us-east-1"
}
}
}
}

or docker after a successful docker build -t awslabs/aws-iac-mcp-server .:

# fictitious `.env` file with AWS temporary credentials
AWS_ACCESS_KEY_ID=ASIAIOSFODNN7EXAMPLE
AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
AWS_SESSION_TOKEN=AQoEXAMPLEH4aoAH0gNCAPy...truncated...zrkuWJOgQs8IZZaIv2BXIa2R4Olgk

NOTE: Docker installation is optional

{
"mcpServers": {
"awslabs.aws-iac-mcp-server": {
"command": "docker",
"args": [
"run",
"--rm",
"--interactive",
"--env",
"AWS_PROFILE=your-aws-profile",
"--env",
"FASTMCP_LOG_LEVEL=ERROR",
"--volume",
"${HOME}/.aws:/root/.aws:ro",
"awslabs/aws-iac-mcp-server:latest"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}

NOTE: Your credentials will need to be kept refreshed from your host

Usage Examples

Validate a Template

Validate this CloudFormation template:
[paste your template content]

Check Compliance

Check this template for security and compliance issues:
[paste your template content]

Troubleshoot a Failed Deployment

Troubleshoot my CloudFormation stack named "my-app-stack" in us-east-1

Security Considerations

⚠️ Privacy Notice: This MCP server executes AWS API calls using your credentials and shares the response data with your third-party AI model provider (e.g., Amazon Q, Claude Desktop, Cursor, VS Code). Users are responsible for understanding your AI provider's data handling practices and ensuring compliance with your organization's security and privacy requirements when using this tool with AWS resources.

IAM Permissions

The MCP server requires the following AWS permissions:

For Template Validation and Compliance:

  • No AWS permissions required (local validation only)

For Deployment Troubleshooting:

  • cloudformation:DescribeStacks
  • cloudformation:DescribeStackEvents
  • cloudformation:DescribeStackResources
  • cloudtrail:LookupEvents (for CloudTrail deep links)

Example IAM policy:

{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"cloudformation:DescribeStacks",
"cloudformation:DescribeStackEvents",
"cloudformation:DescribeStackResources",
"cloudtrail:LookupEvents"
],
"Resource": "*"
}
]
}

Development

Local Development

# Clone the repository
git clone https://github.com/awslabs/mcp.git
cd mcp/src/aws-iac-mcp-server

# Install dependencies
uv sync

# Run the server
uv run awslabs.aws-iac-mcp-server

Running Tests

# Run all tests
uv run pytest

# Run with coverage
uv run pytest --cov=awslabs.aws_iac_mcp_server --cov-report=term-missing

Contributing

See CONTRIBUTING.md for guidelines on how to contribute to this project.

License

This project is licensed under the Apache-2.0 License - see the LICENSE file for details.