mcpField
T

terraback

Local
terraback.ioCloud & Infra
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About terraback

Scan AWS/Azure/GCP and generate Terraform HCL with import blocks, deterministically, for AI agents

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "bmoldo-terraback": {
      "command": "uvx",
      "args": [
        "terraback"
      ],
      "env": {
        "TERRABACK_LICENSE": "<TERRABACK_LICENSE>",
        "ARM_SUBSCRIPTION_ID": "<ARM_SUBSCRIPTION_ID>"
      }
    }
  }
}
Run commanduvx terraback
Environment variables to set
TERRABACK_LICENSESecretOptional offline license key (Ed25519-signed). Without it the server runs in the free Community tier with codify_batch capped at 25 resources per run.
ARM_SUBSCRIPTION_IDAzure subscription ID for terraform plan verification with the azurerm provider (recommended when scanning Azure).

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiterraback0.6.0

Tools

6

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
scopestringYes
typesanyNo
profileanyNo
workdiranyNo
providerstringYes
tag_filtersanyNo

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.