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 stringregions(optional): List of AWS regions to validate againstignore_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 stringcustom_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 stackregion(required): AWS region where the stack existsinclude_cloudtrail(optional): Whether to include CloudTrail analysis (defaults to true)
Prerequisites
- Install
uvfrom Astral or the GitHub README - Install Python using
uv python install 3.10 - Configure AWS credentials:
- Via AWS CLI:
aws configure - Or set environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION)
- Via AWS CLI:
- Ensure your IAM role or user has the necessary permissions for CloudFormation and CloudTrail access
Installation
| Cursor | 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:DescribeStackscloudformation:DescribeStackEventscloudformation:DescribeStackResourcescloudtrail: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.