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Terraform MCP Server

Plan, apply, and manage infrastructure as code directly from your AI agent using the Terraform MCP server integration.

Claude Code Cursor

Overview

The Terraform MCP Server from HashiCorp brings infrastructure-as-code management directly into your AI agent workflow. You can plan, apply, and inspect Terraform resources without leaving your coding environment, making infrastructure changes as seamless as editing application code.

Through the Model Context Protocol, the server exposes Terraform operations to your AI agent. The agent can read your existing infrastructure state, suggest resource configurations, generate HCL code for new services, run `terraform plan` to preview changes, and even apply them after your review. This eliminates the context switching between your editor and the Terraform CLI.

The integration is especially powerful for teams practicing GitOps. Your AI agent can generate Terraform modules, validate configurations against best practices, and help troubleshoot state drift or apply errors with full context about your infrastructure.

Who Is This For?

  • DevOps engineers provisioning cloud infrastructure from their AI agent
  • Developers creating Terraform modules with AI-generated HCL code
  • Teams troubleshooting Terraform state drift and plan failures
  • Platform engineers reviewing infrastructure changes before applying

Installation

Setup for Claude Code
Add to .claude/settings.json:
{"mcpServers":{"terraform":{"command":"npx","args":["-y","@hashicorp/terraform-mcp-server"]}}}

Configuration

# Ensure Terraform CLI is installed
# brew install terraform
# Authenticate with your cloud provider:
export AWS_ACCESS_KEY_ID=your-key
export AWS_SECRET_ACCESS_KEY=your-secret
export AWS_REGION=us-east-1