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AWS Terraform MCP Server

by stv-io
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Python

AWS Terraform MCP Server

Docker Image GitHub License

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": [] } } }

Related MCP server: Columbia MCP Server

🛠️ 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:

  1. uv - Python package manager

  2. Python 3.10+

  3. Terraform CLI (for workflow execution)

  4. Checkov (for security scanning)

For Docker usage:

  1. 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 release

  • v1.2.3 - Specific version

  • v1.2 - Latest patch of minor version

  • v1 - Latest minor of major version

See CONTRIBUTING.md for commit message guidelines.

📄 License

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

🙏 Acknowledgments

📞 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.

Deploy Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

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