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Terraform Cloud MCP Server

@severity1

Repository

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

Basic information

Category

Cloud & Infrastructure

License

MIT

Runtime

python

Transports

stdio

Publisher

severity1

Submitted by

John Reilly Pospos

Config

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

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

Tools

No tools detected

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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