tfmcp: Terraform Model Context Protocol Tool
@nwiizo
关于 tfmcp: Terraform Model Context Protocol 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
基本信息
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",
"."
]
}
}
}工具
未检测到工具
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
FAQ from tfmcp
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.
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.
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.
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.
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.
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