terraform-mcp-server

MCP.Pizza Chef: thrashr888

The terraform-mcp-server is an MCP server that interfaces with the Terraform Registry API, allowing AI agents to query detailed information about Terraform providers, resources, and modules. It facilitates real-time access to Terraform metadata, enabling automated workflows and enhanced infrastructure-as-code management through AI integration. This server supports seamless installation in environments like Cursor and Claude Desktop, providing structured, actionable Terraform context to LLMs for improved DevOps and cloud infrastructure tasks.

Use This MCP server To

Query Terraform provider details for infrastructure automation Retrieve resource metadata from Terraform Registry Access module information for IaC project integration Enable AI-driven Terraform module recommendations Automate Terraform documentation generation Integrate Terraform data into AI-assisted coding environments

README

Terraform Registry MCP Server

A Model Context Protocol (MCP) server that provides tools for interacting with the Terraform Registry API. This server enables AI agents to query provider information, resource details, and module metadata.

Installation

Installing in Cursor

To install and use this MCP server in Cursor:

  1. In Cursor, open Settings (⌘+,) and navigate to the "MCP" tab.

  2. Click "+ Add new MCP server."

  3. Enter the following:

    • Name: terraform-registry
    • Type: command
    • Command: npx -y terraform-mcp-server
  4. Click "Add" then scroll to the server and click "Disabled" to enable the server.

  5. Restart Cursor, if needed, to ensure the MCP server is properly loaded.

terraform-registry MCP settings for Cursor

Installing in Claude Desktop

To install and use this MCP server in Claude Desktop:

  1. In Claude Desktop, open Settings (⌘+,) and navigate to the "Developer" tab.

  2. Click "Edit Config" at the bottom of the window.

  3. Edit the file (~/Library/Application Support/Claude/claude_desktop_config.json) to add the following code, then Save the file.

{
  "mcpServers": {
    "terraform-registry": {
      "command": "npx",
      "args": ["-y", "terraform-mcp-server"]
    }
  }
}
  1. Restart Claude Desktop to ensure the MCP server is properly loaded.

Tools

The following tools are available in this MCP server:

Core Registry Tools

Tool Description
providerDetails Gets detailed information about a Terraform provider
resourceUsage Gets example usage of a Terraform resource and related resources
moduleSearch Searches for and recommends Terraform modules based on a query
listDataSources Lists all available data sources for a provider and their basic details
resourceArgumentDetails Fetches comprehensive details about a resource type's arguments
moduleDetails Retrieves detailed metadata for a Terraform module
functionDetails Gets details about a Terraform provider function
providerGuides Lists and views provider-specific guides and documentation
policySearch Searches for policy libraries in the Terraform Registry
policyDetails Gets detailed information about a specific policy library

Terraform Cloud Tools

These tools require a Terraform Cloud API token (TFC_TOKEN):

Tool Description
listOrganizations Lists all organizations the authenticated user has access to
privateModuleSearch Searches for private modules in an organization
privateModuleDetails Gets detailed information about a private module
explorerQuery Queries the Terraform Cloud Explorer API to analyze data
listWorkspaces Lists workspaces in an organization
workspaceDetails Gets detailed information about a specific workspace
lockWorkspace Locks a workspace to prevent runs
unlockWorkspace Unlocks a workspace to allow runs
listRuns Lists runs for a workspace
runDetails Gets detailed information about a specific run
createRun Creates a new run for a workspace
applyRun Applies a run that's been planned
cancelRun Cancels a run that's in progress
listWorkspaceResources Lists resources in a workspace

Resources

The MCP server supports the following resource URIs for listing and reading via the resources/* methods:

Resource Type Example URI(s) Description
Providers terraform:providers List all namespaces/providers
terraform:provider:<namespace>/<name> Get details for a specific provider
Provider Versions terraform:provider:<namespace>/<name>/versions List available versions for a provider
Provider Resources terraform:provider:<namespace>/<name>/resources List resources for a provider
terraform:resource:<namespace>/<name>/<resource_name> Get details for a specific resource type
Provider Data Sources terraform:provider:<namespace>/<name>/dataSources List data sources for a provider
terraform:dataSource:<namespace>/<name>/<data_source_name> Get details for a specific data source
Provider Functions terraform:provider:<namespace>/<name>/functions List functions for a provider
terraform:function:<namespace>/<name>/<function_name> Get details for a specific function

The server also supports resources/templates/list to provide templates for creating:

  • terraform:provider
  • terraform:resource
  • terraform:dataSource

Prompts

The following prompts are available for generating contextual responses:

Prompt Description Required Arguments
migrate-clouds Generate Terraform code to migrate infrastructure between cloud providers sourceCloud, targetCloud, terraformCode
generate-resource-skeleton Helps users quickly scaffold new Terraform resources with best practices resourceType
optimize-terraform-module Provides actionable recommendations for improving Terraform code terraformCode
migrate-provider-version Assists with provider version upgrades and breaking changes providerName, currentVersion, targetVersion, terraformCode (optional)
analyze-workspace-runs Analyzes recent run failures and provides troubleshooting guidance for Terraform Cloud workspaces workspaceId, runsToAnalyze (optional, default: 5)

Known Issues with Prompts

Note: There is a known issue with the getPrompt functionality that can cause server crashes. The server properly registers prompts and can list them, but direct requests using the getPrompt method may cause connectivity issues. This is being investigated and may be related to SDK compatibility or implementation details. Until resolved, use listPrompts to see available prompts but avoid direct getPrompt calls.

Running the Server

The server runs using stdio transport for MCP communication:

npm install
npm start

Configuration with Environment Variables

The server can be configured using environment variables:

Environment Variable Description Default Value
TERRAFORM_REGISTRY_URL Base URL for Terraform Registry API https://registry.terraform.io
DEFAULT_PROVIDER_NAMESPACE Default namespace for providers hashicorp
LOG_LEVEL Logging level (error, warn, info, debug) info
REQUEST_TIMEOUT_MS Timeout for API requests in milliseconds 10000
RATE_LIMIT_ENABLED Enable rate limiting for API requests false
RATE_LIMIT_REQUESTS Number of requests allowed in time window 60
RATE_LIMIT_WINDOW_MS Time window for rate limiting in milliseconds 60000
TFC_TOKEN Terraform Cloud API token for private registry access (optional)

Example usage with environment variables:

# Set environment variables
export LOG_LEVEL="debug"
export REQUEST_TIMEOUT_MS="15000"
export TFC_TOKEN="your-terraform-cloud-token"

# Run the server
npm start

Testing

See the TESTS.md file for information about testing this project.

terraform-mcp-server FAQ

How do I install terraform-mcp-server in Cursor?
Open Cursor settings, add a new MCP server with command 'npx -y terraform-mcp-server', enable it, and restart Cursor if needed.
Can terraform-mcp-server be used with Claude Desktop?
Yes, it supports installation and usage in Claude Desktop via its settings interface.
What kind of Terraform data can this MCP server provide?
It provides provider information, resource details, and module metadata from the Terraform Registry.
Does terraform-mcp-server require any special permissions?
It requires network access to the Terraform Registry API but no special credentials for public data.
Is terraform-mcp-server compatible with multiple LLM providers?
Yes, it works with OpenAI, Anthropic Claude, and Google Gemini by providing structured Terraform context.
How does terraform-mcp-server improve AI workflows?
It enables AI agents to fetch real-time Terraform data, enhancing infrastructure automation and code generation.
What command runs the terraform-mcp-server?
The server runs using the command 'npx -y terraform-mcp-server' as per installation instructions.