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Terraform Cloud MCP Server

@severity1

Repository

Basic information

Category

Cloud & Infrastructure

License

MIT

Transports

stdio

Author

severity1

Submitted by

John Reilly Pospos

About Terraform Cloud MCP Server

A Model Context Protocol (MCP) server that integrates AI assistants with the Terraform Cloud API, allowing you to manage your infrastructure through natural conversation

Terraform Cloud MCP Server config

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

{
  "mcpServers": {
    "terraform-cloud-mcp": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Terraform Cloud MCP Server tools

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.

Overview

What is Terraform Cloud MCP Server?

It is an MCP server that integrates AI assistants with the Terraform Cloud API, enabling infrastructure management through natural conversation. It is built for developers and operators using MCP-compatible platforms like Claude, Cursor, and Copilot Studio.

How to use Terraform Cloud MCP Server?

Install locally via uv pip install . or build the Docker image. Set the required environment variable TFC_TOKEN with your Terraform Cloud API token; optionally configure TFC_ADDRESS, ENABLE_DELETE_TOOLS, or READ_ONLY_TOOLS. Add the server to your MCP client using the provided configuration examples.

Key features of Terraform Cloud MCP Server

  • Account, workspace, project, run, plan, and apply management.
  • Cost estimation and health assessment retrieval.
  • State version and variable management.
  • Destructive operation controls disabled by default.
  • Read-only mode for maximum production safety.
  • Audit-safe response filtering with token optimization.

Use cases of Terraform Cloud MCP Server

  • Manage Terraform Cloud workspaces through natural conversation.
  • Automate run creation, planning, and applying via AI assistants.
  • Query infrastructure state and cost estimates without

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