stv-io/aws-terraform-mcp-server
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The AWS Terraform MCP Server is a Docker containerized version of the AWS Labs Terraform MCP Server, designed to facilitate best practices in infrastructure as code on AWS using Terraform, with a focus on security compliance through Checkov.
AWS Terraform MCP Server
Docker containerized version of the AWS Labs Terraform MCP Server - a Model Context Protocol (MCP) server for Terraform on AWS best practices, infrastructure as code patterns, and security compliance with Checkov.
🚀 Quick Start
Using Docker (Recommended)
# Pull and run the latest image
docker run --rm --interactive ghcr.io/stv-io/aws-terraform-mcp-server:latest
Using with MCP Clients
Windsurf IDE
Add to your Windsurf MCP settings:
{
"name": "AWS Terraform MCP Server",
"command": "docker",
"args": [
"run", "--rm", "--interactive",
"--env", "FASTMCP_LOG_LEVEL=ERROR",
"ghcr.io/stv-io/aws-terraform-mcp-server:latest"
],
"env": {},
"disabled": false,
"autoApprove": []
}
Cursor IDE
Add to your Cursor MCP configuration:
{
"mcpServers": {
"aws-terraform-mcp-server": {
"command": "docker",
"args": [
"run", "--rm", "--interactive",
"--env", "FASTMCP_LOG_LEVEL=ERROR",
"ghcr.io/stv-io/aws-terraform-mcp-server:latest"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}
🛠️ Features
Tools Available
- ExecuteTerraformCommand - Run Terraform commands (init, plan, validate, apply, destroy)
- ExecuteTerragruntCommand - Run Terragrunt workflows with advanced features
- SearchAwsProviderDocs - Search AWS provider documentation
- SearchAwsccProviderDocs - Search AWSCC provider documentation
- SearchSpecificAwsIaModules - Access AWS-IA GenAI modules (Bedrock, OpenSearch, SageMaker, Streamlit)
- RunCheckovScan - Security and compliance scanning with Checkov
- SearchUserProvidedModule - Analyze Terraform Registry modules
Resources Available
- terraform_development_workflow - Security-focused development process guide
- terraform_aws_provider_resources_listing - Comprehensive AWS provider resources catalog
- terraform_awscc_provider_resources_listing - AWSCC provider resources catalog
- terraform_aws_best_practices - AWS Terraform best practices guidance
🔧 Development
Building Locally
# Clone the repository
git clone https://github.com/stv-io/aws-terraform-mcp-server.git
cd aws-terraform-mcp-server
# Build the Docker image
docker build -t aws-terraform-mcp-server .
# Run locally
docker run --rm --interactive aws-terraform-mcp-server
Testing
Local Docker Testing
# Test the locally built Docker image
python3 test_docker_mcp.py
# Test the published Docker image from GHCR
sed 's|aws-terraform-mcp-server:latest|ghcr.io/stv-io/aws-terraform-mcp-server:latest|g' test_docker_mcp.py > test_published.py
python3 test_published.py
Direct Server Testing (without Docker)
# Test the server directly using uv
python3 test_mcp_server.py
Unit Tests
# Run the comprehensive test suite
python3 -m pytest tests/ -v
Using UV (Alternative)
# Install dependencies
uv sync
# Run the server
uv run awslabs.terraform-mcp-server
📋 Prerequisites
For local development:
- uv - Python package manager
- Python 3.10+
- Terraform CLI (for workflow execution)
- Checkov (for security scanning)
For Docker usage:
- Docker or compatible container runtime
🔒 Security Considerations
- Follow structured development workflow with integrated validation and security scanning
- Review all Checkov warnings and fix security issues when possible
- Use AWSCC provider for consistent API behavior and better security defaults
- Conduct independent assessment before applying changes to production environments
🔄 Versioning
This project uses Semantic Versioning with automated releases based on Conventional Commits.
Available Tags
latest- Latest stable releasev1.2.3- Specific versionv1.2- Latest patch of minor versionv1- Latest minor of major version
See for commit message guidelines.
📄 License
This project is licensed under the Apache License 2.0 - see the file for details.
🙏 Acknowledgments
- Original implementation by AWS Labs
- Built on the Model Context Protocol
- Uses FastMCP framework
📞 Support
For issues and questions:
Note: This is a containerized distribution of the AWS Labs Terraform MCP Server. All credit for the core functionality goes to the AWS Labs team.