Schema | Terraform MCP Server

Terraform MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`TERRAFORM_WORKING_DIR`	No	The default working directory for Terraform operations. If not set, the server will use the current working directory.

Features and capabilities supported by this server

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
tf_versionA	Get Terraform version
tf_initB	Initialize Terraform working directory
tf_validateC	Validate Terraform configuration
tf_planD	Create execution plan
tf_applyD	Apply Terraform changes
tf_destroyC	Destroy Terraform resources
tf_outputD	Get Terraform outputs
tf_state_listC	List resources in state
tf_state_showC	Show resource in state
tf_state_rmC	Remove resource from state
tf_state_mvC	Move resource in state
tf_importC	Import existing resource into state
tf_refreshC	Refresh state
tf_fmtC	Format Terraform files
tf_workspace_listC	List workspaces
tf_workspace_selectC	Select workspace
tf_workspace_newD	Create workspace
tf_workspace_deleteC	Delete workspace
tf_providersD	List providers
tf_graphC	Generate resource graph (DOT format)
tf_taintC	Mark resource for recreation
tf_untaintC	Remove taint from resource
tf_show_planC	Show saved plan file
tf_list_filesC	List Terraform files in directory
tf_read_fileC	Read a Terraform file
tf_write_fileC	Write a Terraform file

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mjrestivo16/mcp-terraform'

If you have feedback or need assistance with the MCP directory API, please join our Discord server