tfmcp: Terraform Model Context Protocol Tool

What is tfmcp?

tfmcp is an experimental command-line tool that enables AI assistants to manage and operate Terraform environments through the Model Context Protocol (MCP). It allows users to read Terraform configurations, analyze plans, apply configurations, and manage state effectively.

How to use tfmcp?

To use tfmcp, install it via Cargo with cargo install tfmcp, and then run commands like tfmcp analyze to analyze configurations or tfmcp mcp to launch it as an MCP server. Integration with Claude Desktop is also supported for enhanced functionality.

Key features of tfmcp?

• Deep integration with Terraform CLI for executing operations.
• Runs as an MCP server for AI assistants.
• High-speed processing powered by Rust.
• Automatic setup of sample Terraform projects for new users.

Use cases of tfmcp?

1. Managing Terraform configurations through AI assistants.
2. Analyzing and applying Terraform plans efficiently.
3. Automating infrastructure management tasks with AI integration.

FAQ from tfmcp?

• Is tfmcp stable?

No, tfmcp is experimental and features may change without notice.

• What are the requirements?

You need Rust, Terraform CLI, and Claude Desktop for full functionality.

• Can I contribute to tfmcp?

Yes, contributions are welcome! Please follow the guidelines in the repository.