This project provides a command-line tool, tfmcp, that acts as a bridge between AI assistants and Terraform environments. It enables AI models to read Terraform configurations, analyze plans, apply changes, and manage state, targeting developers and DevOps engineers looking to leverage AI for infrastructure management.

How It Works

tfmcp functions as a Model Context Protocol (MCP) server, exposing Terraform operations through a defined API. This allows AI assistants, such as Claude Desktop, to interact with Terraform by sending commands and receiving structured data about configurations and plans. The tool integrates deeply with the Terraform CLI, written in Rust for performance, and can automatically set up sample projects for immediate use.

Quick Start & Requirements

• Install via Cargo: cargo install tfmcp
• Requirements: Rust (edition 2021), Terraform CLI, Claude Desktop (for AI integration), Docker (optional).
• See official docs for Claude Desktop integration: https://github.com/nwiizo/tfmcp#integrating-with-claude-desktop

Highlighted Details

• Experimental CLI tool for AI-driven Terraform management.
• Integrates with Claude Desktop via the Model Context Protocol (MCP).
• Supports reading configurations, analyzing plans, applying changes, and managing state.
• Automatic creation of sample Terraform projects for new users.
• Docker support for containerized deployment.

Maintenance & Community

• Project is actively developed with a roadmap including enhanced analysis, multi-environment support, and expanded MCP protocol capabilities.
• Contributions are welcome via Pull Requests.

Licensing & Compatibility

• Licensed under the MIT License, permitting commercial use and closed-source linking.

Limitations & Caveats

This project is experimental and features may change without notice. Users should exercise caution, especially in production environments, due to the potential for AI-driven infrastructure modifications. Security considerations regarding sensitive data and Terraform execution are highlighted.