tfmcp
by nwiizo
# tfmcp: Terraform Model Context Protocol Tool
*ā ļø This project is experimental. Features may change without notice. Use with caution! ā ļø*
tfmcp is a command-line tool that helps you interact with Terraform via the Model Context Protocol (MCP). It allows LLMs to manage and operate your Terraform environments, including:
## š® Demo
See tfmcp in action with Claude Desktop:
- Reading Terraform configuration files
- Analyzing Terraform plan outputs
- Applying Terraform configurations
- Managing Terraform state
- Creating and modifying Terraform configurations
## š Latest Release
The first stable release of tfmcp (v0.1.1) is now available on Crates.io! You can easily install it using Cargo:
```bash
cargo install tfmcp
```
## Features
- š **Terraform Integration**
Deeply integrates with the Terraform CLI to analyze and execute operations.
- š **MCP Server Capabilities**
Runs as a Model Context Protocol server, allowing AI assistants to access and manage Terraform.
- ā”ļø **Blazing Fast**
High-speed processing powered by the Rust ecosystem.
- š ļø **Automatic Setup**
Automatically creates sample Terraform projects when needed, ensuring smooth operation even for new users.
## Installation
### From Source
```bash
# Clone the repository
git clone https://github.com/nwiizo/tfmcp
cd tfmcp
# Build and install
cargo install --path .
```
### From Crates.io
```bash
cargo install tfmcp
```
## Requirements
- Rust (edition 2021)
- Terraform CLI installed and available in PATH
- Claude Desktop (for AI assistant integration)
## Usage
```bash
$ tfmcp --help
āØ A CLI tool to manage Terraform configurations and operate Terraform through the Model Context Protocol (MCP).
Usage: tfmcp [OPTIONS] [COMMAND]
Commands:
mcp Launch tfmcp as an MCP server
analyze Analyze Terraform configurations
help Print this message or the help of the given subcommand(s)
Options:
-c, --config <PATH> Path to the configuration file
-d, --dir <PATH> Terraform project directory
-V, --version Print version
-h, --help Print help
```
### Integrating with Claude Desktop
To use tfmcp with Claude Desktop:
1. If you haven't already, install tfmcp:
```bash
cargo install tfmcp
```
2. Find the path to your installed tfmcp executable:
```bash
which tfmcp
```
3. Add the following configuration to `~/Library/Application\ Support/Claude/claude_desktop_config.json`:
```json
{
"mcpServers": {
"tfmcp": {
"command": "/path/to/your/tfmcp", // Replace with the actual path from step 2
"args": ["mcp"],
"env": {
"HOME": "/Users/yourusername", // Replace with your username
"PATH": "/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin",
"TERRAFORM_DIR": "/path/to/your/terraform/project" // Optional: specify your Terraform project
}
}
}
}
```
4. Restart Claude Desktop and enable the tfmcp tool.
5. tfmcp will automatically create a sample Terraform project in `~/terraform` if one doesn't exist, ensuring Claude can start working with Terraform right away. The sample project is based on the examples included in the `example/demo` directory of this repository.
## Logs and Troubleshooting
The tfmcp server logs are available at:
```
~/Library/Logs/Claude/mcp-server-tfmcp.log
```
Common issues and solutions:
- **Claude can't connect to the server**: Make sure the path to the tfmcp executable is correct in your configuration
- **Terraform project issues**: tfmcp automatically creates a sample Terraform project if none is found
- **Method not found errors**: MCP protocol support includes resources/list and prompts/list methods
## Environment Variables
- `TERRAFORM_DIR`: Set this to specify a custom Terraform project directory. If not set, tfmcp will use the directory provided by command line arguments, configuration files, or fall back to `~/terraform`. You can also change the project directory at runtime using the `set_terraform_directory` tool.
- `TFMCP_LOG_LEVEL`: Set to `debug`, `info`, `warn`, or `error` to control logging verbosity.
- `TFMCP_DEMO_MODE`: Set to `true` to enable demo mode with additional safety features.
## Security Considerations
When using tfmcp, please be aware of the following security considerations:
- tfmcp executes Terraform commands on your behalf, which can create, modify, or destroy infrastructure
- In production environments, consider using appropriate IAM permissions and role boundaries
- Review all Terraform plans before applying them, especially when generated by an AI
- Sensitive information in your Terraform state might be accessible to the AI assistants
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add some amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
## Roadmap
Here are some planned improvements and future features for tfmcp:
### Completed
- [x] **Basic Terraform Integration**
Core integration with Terraform CLI for analyzing and executing operations.
- [x] **MCP Server Implementation**
Initial implementation of the Model Context Protocol server for AI assistants.
- [x] **Automatic Project Creation**
Added functionality to automatically create sample Terraform projects when needed.
- [x] **Claude Desktop Integration**
Support for seamless integration with Claude Desktop.
- [x] **Core MCP Methods**
Implementation of essential MCP methods including resources/list and prompts/list.
- [x] **Error Handling Improvements**
Better error handling and recovery mechanisms for robust operation.
- [x] **Dynamic Project Directory Switching**
Added ability to change the active Terraform project directory without restarting the service.
- [x] **Crates.io Publication**
Published the package to Crates.io for easy installation via Cargo.
### In Progress
- [ ] **Enhanced Terraform Analysis**
Implement deeper parsing and analysis of Terraform configurations, plans, and state files.
- [ ] **Multi-Environment Support**
Add support for managing multiple Terraform environments, workspaces, and modules.
- [ ] **Security Enhancements**
Improve security features including better authentication and authorization mechanisms.
- [ ] **Expanded MCP Protocol Support**
Implement additional MCP methods and capabilities for richer integration with AI assistants.
- [ ] **Interactive TUI**
Develop a terminal-based user interface for easier local usage and debugging.
- [ ] **Cost Estimation**
Integrate with cloud provider pricing APIs to provide cost estimates for Terraform plans.
- [ ] **Performance Optimization**
Optimize resource usage and response times for large Terraform projects.
- [ ] **Integration with Other AI Platforms**
Extend beyond Claude to support other AI assistants and platforms.
- [ ] **Comprehensive Testing Framework**
Expand test coverage including integration tests with real Terraform configurations.
- [ ] **Plugin System**
Develop a plugin architecture to allow extensions of core functionality.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.