Terraform Cloud MCP

Example Use Cases

• 1

  Create, update, lock/unlock, or delete Terraform Cloud workspaces (with safety controls for destructive operations).

• 2

  Manage run lifecycle actions—plan, apply, discard, cancel—and fetch plan/apply JSON outputs and logs with proper redirect handling.

• 3

  Read and modify state versions, workspace and variable set variables, retrieve cost estimates, and run health/assessment queries programmatically via conversational interfaces.

Description

This repository implements a Model Context Protocol (MCP) server that integrates AI agents with the Terraform Cloud API, exposing domain-specific tools for account, workspace, run, plan, apply, project, organization, state, and variable management. It includes safety controls (destructive operations disabled by default), audit-safe response filtering, and detailed tooling for cost estimates and health assessments. The server is built with Pydantic models and is compatible with any MCP-supporting platform (Claude, Cursor, Copilot Studio, etc.), enabling conversational infrastructure management. Development tooling, documentation, and examples are included for local and platform integration.