Overview
What is MCP Terraform Assistant?
MCP Terraform Assistant is a server designed to manage infrastructure as code using Terraform, providing an AI agent to facilitate various Terraform operations.
How to use MCP Terraform Assistant?
To use the MCP Terraform Assistant, clone the repository, install the necessary dependencies, and start the server. Connect to the server using an MCP client to interact with the AI agent for managing your infrastructure.
Key features of MCP Terraform Assistant?
- Initialize Terraform working directories
- Generate and show execution plans
- Apply changes to infrastructure
- Destroy infrastructure resources
- Validate Terraform configurations
- Show current state or saved plans
- Manage Terraform workspaces
Use cases of MCP Terraform Assistant?
- Automating infrastructure setup and management using Terraform.
- Simplifying the process of generating execution plans and applying changes.
- Validating Terraform configurations to ensure correctness before deployment.
FAQ from MCP Terraform Assistant?
- What are the prerequisites for using MCP Terraform Assistant?
You need Python 3.10 or higher and Terraform installed on your system.
- Can I run MCP Terraform Assistant using Docker?
Yes! You can run the MCP server using Docker for easier setup.
- What tools are available in MCP Terraform Assistant?
The server includes tools for initializing, planning, applying, destroying, validating, and managing Terraform workspaces.