What prerequisites are needed?
Python 3.13+ is required, along with a HCP Terraform Cloud/Enterprise account and an access token.
@dulltz
Basic information
MCP server for working with HCP Terraform
Add this server to your MCP-compatible client using the configuration below.
{
"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"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server that integrates with the HCP Terraform Cloud/Enterprise API, allowing AI agents to search for Terraform modules and retrieve module details. It is designed for developers using Terraform Cloud/Enterprise who want to discover and inspect modules via MCP.
Set the environment variables HCP_TERRAFORM_TOKEN (required), HCP_TERRAFORM_ORG (required), and optionally HCP_TERRAFORM_BASE_URL. Then run the server using uv with the mcp CLI, referencing path/to/mcp-server-hcp-terraform/server.py. The server provides two tools: hcp_terraform_search_private_modules and hcp_terraform_get_module.
Python 3.13+ is required, along with a HCP Terraform Cloud/Enterprise account and an access token.
Set the `HCP_TERRAFORM_TOKEN` environment variable to your HCP Terraform access token. Also set `HCP_TERRAFORM_ORG` to your organization name.
Yes, set the optional `HCP_TERRAFORM_BASE_URL` environment variable. The default is `https://app.terraform.io`.
Two tools: `hcp_terraform_search_private_modules` (with query, optional provider, and optional limit parameters) and `hcp_terraform_get_module` (with module_name, provider, optional registry_name, and optional namespace).
The `limit` parameter defaults to 10, but you can set a custom maximum.
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