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MCP Infrastructure as Code Assistant

@guilhermeyoshida

代码仓库

基本信息

分类

云与基础设施

许可证

MIT license

传输方式

stdio

作者

guilhermeyoshida

关于 MCP Infrastructure as Code Assistant

An MCP server for managing infrastructure as code using Terraform

MCP Infrastructure as Code Assistant 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Infrastructure as Code Assistant 工具

8

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

概览

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

常见问题

1

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.

2

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.

3

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.

4

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.

5

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.

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