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Teaching AI to Terraform (So We Don't Have To)
59 minutes Posted Jan 24, 2026 at 6:17 pm.
Welcome & Introduction
Sam McGeown's Background
Introduction to Terraform MCP Server
What is Model Context Protocol?
Setting Up the Terraform MCP Server
Demo: Claude Desktop Integration
Creating Infrastructure with AI Prompts
Reading & Analyzing Existing Terraform Code
Generating Landing Zone Configurations
Working with Terraform Workspaces
Creating Variables Automatically
Model Selection: Sonnet vs Opus
Live Demo: Workspace Variable Creation
Getting Started & Resources
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59:55
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Show notes
Join us as Sam demonstrates how to teach AI to write Terraform configurations using Model Context Protocol (MCP) servers.
Sam introduces the Terraform MCP server and walks through practical demos showing how AI can understand and safely interact with your infrastructure. You'll see live examples of AI planning, generating, and evolving Terraform configurations - from creating landing zones to setting up workspace variables automatically. Whether you're managing complex multi-cloud environments or just getting started with infrastructure as code, this episode demonstrates how MCP servers bridge the gap between AI capabilities and real-world Terraform workflows. Learn how to get started, which Claude models work best for different tasks, and best practices for integrating AI into your IaC pipelines.
Timestamps
How to find Sam:
https://www.linkedin.com/in/sammcgeown/
Links from the show:
https://developer.hashicorp.com/terraform/mcp-server