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Terraform MCP Server

@hashicorp

代码仓库

基本信息

分类

云与基础设施

许可证

MPL-2.0

传输方式

stdio

作者

hashicorp

关于 Terraform MCP Server

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

Terraform MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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"
      ]
    }
  }
}

Terraform MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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)

常见问题

1

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).

2

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.

3

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.

4

How do I monitor usage of the Terraform MCP Server?

Enable OpenTelemetry

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