An AWS Labs Model Context Protocol (MCP) server for terraform
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> **⚠️ DEPRECATION NOTICE**: This server is deprecated and will no longer receive updates. Please use [HashiCorp's official Terraform MCP Server](https://github.com/hashicorp/terraform-mcp-server) instead, which provides comprehensive Terraform Registry lookups, HCP Terraform workspace management, and enterprise-grade features. See the [migration guide](https://github.com/awslabs/mcp/blob/main/docs/migration-terraform.md) for a detailed mapping of tools and known gaps (Terragrunt, Checkov, AWSCC guidance). # AWS Terraform MCP Server MCP server for Terraform on AWS best practices, infrastructure as code patterns, and security compliance with Checkov. ## Features - **Terraform Best Practices** - Get prescriptive Terraform advice for building applications on AWS - AWS Well-Architected guidance for Terraform configurations - Security and compliance recommendations - AWSCC provider prioritization for consistent API behavior - **Security-First Development Workflow** - Follow a structured process for creating secure code - Step-by-step guidance for validation and security scanning - Integration of Checkov at the right stages of development - Clear handoff points between AI assistance and developer deployment - **Checkov Integration** - Work with Checkov for security and compliance scanning - Run security scans on Terraform code to identify vulnerabilities - Automatically fix identified security issues when possible - Get detailed remediation guidance for compliance issues - **AWS Provider Documentation** - Search for AWS and AWSCC provider resources - Find documentation for specific resources and attributes - Get example snippets and implementation guidance - Compare AWS and AWSCC provider capabilities - **AWS-IA GenAI Modules** - Access specialized modules for AI/ML workloads - Amazon Bedrock module for generative AI applications - OpenSearch Serverless for vector search capabilities - SageMaker endpoint deployment for ML model hosti…
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