MCP Infrastructure as Code Assistant

Name: MCP Infrastructure as Code Assistant
Author: guilhermeyoshida

@guilhermeyoshida

Repository

About MCP Infrastructure as Code Assistant

An MCP server for managing infrastructure as code using Terraform

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-terraform-assistant": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-e",
        "."
      ]
    }
  }
}

Tools

Initialize a Terraform working directory

Generate and show an execution plan for Terraform

Apply the changes required to reach the desired state

Destroy the infrastructure managed by Terraform

Validate the syntax and internal consistency of Terraform files

Show the current state or a saved plan

List Terraform workspaces

Select a Terraform workspace

Overview

What is MCP Infrastructure as Code Assistant?

It is an MCP server for managing infrastructure as code with Terraform. It provides tools to initialize, plan, apply, destroy, validate, show state, and manage workspaces for Terraform configurations.

How to use MCP Infrastructure as Code Assistant?

Install using Python 3.8+ and Terraform 1.5.7+, either locally via uv or using Docker Compose. Start the server with python main.py or docker-compose up -d, then use the MCP CLI to call tools like mcp terraform_init or mcp terraform_apply.

Key features of MCP Infrastructure as Code Assistant

Initialize Terraform working directories
Generate and show execution plans
Apply and destroy infrastructure changes
Validate Terraform configurations
Show current state or saved plans
Manage Terraform workspaces

Use cases of MCP Infrastructure as Code Assistant

AI-assisted Terraform infrastructure provisioning
Automating Terraform workflows in CI/CD pipelines
Managing multiple Terraform workspaces on the command line
Validating Terraform configurations before deployment
Applying changes to infrastructure with auto-approve

FAQ from MCP Infrastructure as Code Assistant

What are the prerequisites?

Python 3.8 or higher and Terraform 1.5.7 or higher are required. Docker and Docker Compose are optional for containerized usage.

How do I install the server?

You can install locally using uv (pip install -e .) or run via Docker Compose. See the installation section in the README.

What tools are available?

Tools include terraform_init, terraform_plan, terraform_apply, terraform_destroy, terraform_validate, terraform_show, terraform_workspace_list, and terraform_workspace_select.

How do I use it with an AI agent?

Start the MCP server, then connect using an MCP client. The AI agent can then perform Terraform operations via the available tools.

Does the server include example configurations?

Yes, the repository includes an example Terraform configuration for an AWS EC2 instance and additional examples in the examples directory.

Comments

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