
MCP-Server-HCP-Terraform
MCP -Server für die Arbeit mit HCP -Terraform
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mcp-server-hcp-terraform
MCP server for working with HashiCorp Terraform Cloud/Enterprise API
Overview
This project provides a MCP server that integrates with the HCP Terraform Cloud/Enterprise API. Through MCP, you can access features such as searching for Terraform modules and retrieving module information.
Prerequisites
- Python 3.13+
- HCP Terraform Cloud/Enterprise account
- Access token
Environment Variables
Set the following environment variables before use:
-
HCP_TERRAFORM_TOKEN
: HCP Terraform access token (required) -
HCP_TERRAFORM_ORG
: HCP Terraform organization name (required) -
HCP_TERRAFORM_BASE_URL
: HCP Terraform base URL (optional, default:https://app.terraform.io
)
Features
This MCP server provides the following features:
Search Private Modules
Use the hcp_terraform_search_private_modules
tool to search for modules in the HCP Terraform Private Registry.
Parameters:
-
query
: Search query -
provider
(optional): Provider filter (e.g., aws, gcp, azure) -
limit
(optional): Maximum number of results (default: 10)
Get Module Details
Use the hcp_terraform_get_module
tool to retrieve detailed information about a specific module from the HCP Terraform Registry.
Parameters:
-
module_name
: Name of the module -
provider
: Provider (e.g., aws, gcp, azure) -
registry_name
(optional): Registry name (private or public, default: private) -
namespace
(optional): Module namespace (uses organization name if not specified)
Usage
{
"globalShortcut": "",
"mcpServers": {
"HCP Terraform": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"path/to/mcp-server-hcp-terraform/server.py"
],
"env": {
"HCP_TERRAFORM_TOKEN": "paste_here",
"HCP_TERRAFORM_ORG": "my_org"
}
}
}
}
License
MIT License
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Reviews

user_0Ur0BKiq
I've been using the mcp-server-hcp-terraform for managing my cloud infrastructure, and it's been a game-changer. Kudos to dulltz for creating such a robust and efficient tool! The documentation on the GitHub page is comprehensive, making it easy to get started and implement. Highly recommended for anyone looking to streamline their Terraform workflows.