MCP.so
登录

tfmcp: Terraform MCP Tool

@nwiizo

基本信息

分类

云与基础设施

许可证

MIT

传输方式

stdio

作者

nwiizo

关于 tfmcp: Terraform MCP Tool

🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integrati

tfmcp: Terraform MCP Tool 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "tfmcp": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "tfmcp",
        "."
      ]
    }
  }
}

tfmcp: Terraform MCP Tool 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 tfmcp?

tfmcp is a command-line tool that helps you interact with Terraform via the Model Context Protocol (MCP). It allows large language models (LLMs) to manage and operate your Terraform environments, including reading configurations, analyzing plans, applying changes, managing state, and creating or modifying Terraform configurations.

How to use tfmcp?

Install tfmcp with cargo install tfmcp or build from source, then run tfmcp mcp to launch it as an MCP server. To integrate with Claude Desktop, configure ~/Library/Application Support/Claude/claude_desktop_config.json pointing to the tfmcp executable with "args": ["mcp"]. You can specify a Terraform project directory via the -d flag, the TERRAFORM_DIR environment variable, or the set_terraform_directory tool at runtime.

Key features of tfmcp

  • Deep Terraform CLI integration for analyzing and executing operations
  • Runs as a Model Context Protocol server for AI assistants
  • Module health analysis with cohesion/coupling metrics and refactoring suggestions
  • Resource dependency graph visualization with dot output
  • Security scanning with secret detection and configurable policies
  • Production-ready audit logging and access restrictions

Use cases of tfmcp

  • AI-assisted Terraform configuration creation and modification
  • Automated plan analysis with risk scoring and recommendations
  • Terraform state inspection and drift detection
  • Module registry search and provider information retrieval
  • Compliance checks against Terraform guidelines and best practices

常见问题

1

How do I install tfmcp?

Install via Cargo: `cargo install tfmcp`, or build from source with `cargo install --path .`. Docker support is also available by building the image from the repository.

2

How do I integrate tfmcp with Claude Desktop?

After installing, find the tfmcp binary path (`which tfmcp`), then add an `mcpServers` entry to your `claude_desktop_config.json` with the command and `"args": ["mcp"]`. Restart Claude Desktop and enable the tool.

3

How do I enable apply or destroy operations?

By default, dangerous operations (apply/destroy) are disabled. Set the environment variable `TFMCP_ALLOW_DANGEROUS_OPS` to `true` to enable them. Auto-approve can be enabled with `TFMCP_ALLOW_AUTO_APPROVE`.

4

Where can I find tfmcp logs?

Server logs are located at `~/Library/Logs/Claude/mcp-server-tfmcp.log`. Audit logs (if enabled) are written to `~/.tfmcp/audit.log` by default.

5

What are the runtime requirements?

You need Rust (edition 2021 or later) and the Terraform CLI installed and available in your PATH. Claude Desktop is optional but recommended for AI assistant integration. Docker is optional for containerized deployment.

评论

云与基础设施 分类下的更多 MCP 服务器