Terraform MCP Server

Name: Terraform MCP Server
Author: hashicorp

@hashicorp

Terraform MCP Server について

The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.

基本情報

カテゴリ

クラウドとインフラ

ライセンス

MPL-2.0

ランタイム

トランスポート

stdio

公開者

hashicorp

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "terraform-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-p",
        "8080:8080",
        "--rm",
        "-e",
        "TRANSPORT_MODE=streamable-http",
        "-e",
        "TRANSPORT_HOST=0.0.0.0",
        "hashicorp/terraform-mcp-server"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Terraform MCP Server?

The Terraform MCP Server is a Model Context Protocol server that integrates with Terraform Registry APIs, HCP Terraform, and Terraform Enterprise. It enables AI assistants to manage Infrastructure as Code workflows, including workspace operations, provider/module lookups, and run management.

How to use Terraform MCP Server?

Run the server as a Docker container configured via environment variables. Connect it to an MCP-compatible assistant (VS Code, Cursor, Claude Desktop, etc.). Use the terraform-mcp-server stdio or terraform-mcp-server streamable-http command, or the equivalent Docker command, depending on your chosen transport mode. Set required environment variables like TFE_TOKEN, TFE_ADDRESS, and optionally TRANSPORT_MODE.

Key features of Terraform MCP Server

Dual transport: Stdio and StreamableHTTP
Terraform Registry integration for providers, modules, policies
HCP Terraform and Terraform Enterprise workspace management
Workspace CRUD with variables, tags, and run management
OpenTelemetry metrics for tool usage monitoring
Security and access controls (rate limiting, organization allowlists, TLS)

Use cases of Terraform MCP Server

Manage Terraform workspaces (create, update, delete) via chat
Query the Terraform Registry for provider and module versions
Automate infrastructure deployment with AI assistants
Audit workspace configurations and variables across organizations
Integrate IaC workflows directly into IDE agent mode (VS Code, Cursor)

FAQ from Terraform MCP Server

What are the prerequisites for running the Terraform MCP Server?

You need Docker installed and running, plus an AI assistant that supports the Model Context Protocol (MCP).

What data does the Terraform MCP Server expose?

Depending on the query, the server may expose certain Terraform data to the MCP client and LLM. Do not use it with untrusted MCP clients or LLMs.

How do I configure the Terraform MCP Server for my organization?

Configure it via environment variables such as TFE_ADDRESS, TFE_TOKEN, and TRANSPORT_MODE. For StreamableHTTP mode you can set host, port, TLS, rate limits, and an organization allowlist.

How do I monitor usage of the Terraform MCP Server?

Enable OpenTelemetry

「クラウドとインフラ」の他のコンテンツ

Supabase MCP Server

coleam00

Supabase MCP server created in Python.

195

Supabase MCP Server

supabase-community

Connect Supabase to your AI assistants

2.8K

aws-finops-mcp-server

ravikiranvm

An MCP (Model Context Protocol) server that brings powerful AWS FinOps capabilities directly into your AI assistant. Analyze cloud costs, audit for waste, and get budget insights using natural language, all while keeping your credentials secure on your local machine.

179