Getting Started with Model Context Protocol (MCP): Automating Terraform Security with Claude Code

Artificial Intelligence is becoming increasingly useful in DevOps, but most AI tools still rely only on their training data. This means they can suggest solutions, but they often can’t interact with your real infrastructure or validate whether their suggestions actually work. In this beginner-friendly guide, I’ll walk through my hands-on experience using Model Context Protocol (MCP) with Claude Code to audit, fix, and verify Terraform security issues automatically. By the end, you’ll understand what MCP is, why it matters, and how it enables AI to safely work with real tools like Terraform and AWS. What is Model Context Protocol (MCP)? Model Context Protocol (MCP) is a framework that allows AI models to connect to external tools and data sources in a structured and secure way. Instead of relying only on static knowledge from training, MCP lets AI access: Local development tools (like Terraform or Git) Cloud APIs (such as AWS) Project files and configurations This means the AI can not o