Provides comprehensive tools for managing Terraform Infrastructure as Code operations, including initialization, planning, applying changes, state management, workspace management, provider operations, and configuration file editing.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Terraform MCP Servershow me what changes would be made if I apply my current terraform config"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Terraform MCP Server
Model Context Protocol (MCP) server for Terraform Infrastructure as Code operations. Provides 25 comprehensive tools for managing Terraform configurations, state, workspaces, and executing infrastructure operations.
Features
Core Operations (6 tools)
tf_version- Get Terraform version informationtf_init- Initialize Terraform working directory (with optional provider upgrades)tf_validate- Validate Terraform configuration syntaxtf_plan- Create execution plan showing proposed changestf_apply- Apply Terraform changes to infrastructuretf_destroy- Destroy Terraform-managed infrastructure
Output Management (1 tool)
tf_output- Get Terraform output values (JSON or plain text)
State Management (6 tools)
tf_state_list- List all resources in Terraform statetf_state_show- Show detailed information for a specific resourcetf_state_rm- Remove a resource from Terraform statetf_state_mv- Move/rename a resource in Terraform statetf_import- Import existing infrastructure into Terraform statetf_refresh- Refresh Terraform state from real infrastructure
Code Formatting (1 tool)
tf_fmt- Format Terraform configuration files (check or modify)
Workspace Management (4 tools)
tf_workspace_list- List all Terraform workspacestf_workspace_select- Switch to a different workspacetf_workspace_new- Create a new workspacetf_workspace_delete- Delete a workspace
Provider Management (1 tool)
tf_providers- List Terraform providers in use
Advanced Operations (3 tools)
tf_graph- Generate resource dependency graph in DOT formattf_taint- Mark a resource for recreation on next applytf_untaint- Remove taint marking from a resource
Plan Management (1 tool)
tf_show_plan- Show details of a saved execution plan file
File Operations (3 tools)
tf_list_files- List Terraform files in a directory (.tf, .tfvars, .tfstate)tf_read_file- Read contents of a Terraform configuration filetf_write_file- Write content to a Terraform configuration file
Installation
Configuration
The server uses an optional environment variable to set the default working directory:
If not set, the server will use the current working directory.
Usage with Claude Desktop
Add to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Development
Run in development mode with hot reload:
Requirements
Terraform CLI must be installed and available in your PATH
Appropriate cloud provider credentials configured (AWS, Azure, GCP, etc.)
Terraform working directory with configuration files
Example Use Cases
Infrastructure Planning: Review changes before applying them
State Management: Import existing resources, move resources between modules
Workspace Management: Manage multiple environments (dev, staging, prod)
Code Quality: Format Terraform files consistently
Troubleshooting: Inspect state, visualize resource dependencies
Selective Operations: Apply changes to specific resources using targets
Configuration Management: Read and modify Terraform configuration files
Tool Parameters
Common Parameters
dir(optional): Working directory for Terraform operations. Defaults toTERRAFORM_WORKING_DIRor current directoryauto_approve(optional): Skip interactive approval for apply/destroy operationstarget(optional): Limit operations to specific resources (e.g.,aws_instance.example)var(optional): Pass variables to Terraform commands (object with key-value pairs)
Plan Operations
State Operations
Security Considerations
The server executes Terraform commands with full permissions
Ensure proper access controls on the working directory
Be cautious with
auto_approveflag on apply/destroy operationsStore sensitive variables in Terraform variable files or environment variables, not in plain text
Review plans carefully before applying changes to production infrastructure
Output Formats
Most commands return plain text output from Terraform CLI
Use
json: truewithtf_outputfor structured JSON responsesState operations return formatted resource information
Graph operations return DOT format for visualization tools
Visualization
The tf_graph tool generates dependency graphs in DOT format. Use tools like Graphviz to visualize:
Error Handling
The server captures both stdout and stderr from Terraform commands. Failed operations return error messages with exit codes for troubleshooting.
API Reference
For detailed Terraform CLI documentation, see: https://developer.hashicorp.com/terraform/cli
License
MIT
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.