Terraform MCP Server Integration

What does “Terraform” MCP Server do?

The Terraform MCP Server is a Model Context Protocol (MCP) server developed by HashiCorp that provides seamless integration with Terraform Registry APIs. It is designed to enable advanced automation and interaction capabilities for Infrastructure as Code (IaC) development. By connecting AI assistants and development tools to external data sources like the Terraform Registry, the server empowers users to automate the discovery of Terraform providers and modules, extract and analyze registry data, and obtain detailed information about provider resources and data sources. This integration streamlines tasks such as exploring, understanding, and managing Terraform modules, thereby enhancing productivity for DevOps engineers and cloud infrastructure teams.

List of Prompts

No prompt templates were explicitly mentioned in the repository.

List of Resources

No specific resources are listed or described in the repository.

List of Tools

No explicit list of tools is provided in the available documentation or code overview.

Use Cases of this MCP Server

• Automating Terraform provider and module discovery
  Instantly find and integrate new providers and modules from the Terraform Registry, reducing manual search and selection effort for IaC development.

• Extracting and analyzing data from Terraform Registry
  Programmatically retrieve and analyze up-to-date information on providers, modules, and their versions to ensure best practices and compliance.

• Getting detailed information about provider resources and data sources
  Access comprehensive documentation and metadata for all resources and data sources exposed by providers, improving code accuracy and maintainability.

• Exploring and understanding Terraform modules
  Facilitate the exploration of module structures, inputs, outputs, and dependencies, helping users select and use the right modules for their infrastructure needs.

How to set it up

Windsurf

1. Ensure Docker is installed and running on your system.
2. Open your Windsurf configuration file.
3. Add the Terraform MCP Server by inserting the following JSON snippet:

   {
     "mcpServers": {
       "terraform": {
         "command": "docker",
         "args": [
           "run",
           "-i",
           "--rm",
           "hashicorp/terraform-mcp-server"
         ]
       }
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify the server appears in your available MCP servers.

Claude

1. Confirm Docker is installed and accessible.
2. Locate the Claude MCP servers configuration file.
3. Insert the Terraform MCP Server configuration:

   {
     "mcpServers": {
       "terraform": {
         "command": "docker",
         "args": [
           "run",
           "-i",
           "--rm",
           "hashicorp/terraform-mcp-server"
         ]
       }
     }
   }
   

4. Save changes and restart Claude.
5. Check if the server is active via the Claude interface.

Cursor

1. Install and run Docker.
2. Open the Cursor settings or configuration file.
3. Add the following configuration to enable the Terraform MCP Server:

   {
     "mcpServers": {
       "terraform": {
         "command": "docker",
         "args": [
           "run",
           "-i",
           "--rm",
           "hashicorp/terraform-mcp-server"
         ]
       }
     }
   }
   

4. Save settings and restart Cursor.
5. Confirm that the MCP server is available for use in Cursor.

Cline

1. Ensure Docker is up and running.
2. Edit the Cline MCP server configuration file.
3. Add the MCP server configuration as shown below:

   {
     "mcpServers": {
       "terraform": {
         "command": "docker",
         "args": [
           "run",
           "-i",
           "--rm",
           "hashicorp/terraform-mcp-server"
         ]
       }
     }
   }
   

4. Save the file and restart Cline.
5. Validate that the Terraform MCP Server is correctly set up.

Securing API Keys

If the server or registry requires API keys, use environment variables for secure storage. Example:

{
  "mcpServers": {
    "terraform": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "hashicorp/terraform-mcp-server"
      ],
      "env": {
        "TERRAFORM_API_KEY": "${env.TERRAFORM_API_KEY}"
      },
      "inputs": {
        "api_key": "${env.TERRAFORM_API_KEY}"
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "terraform": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “terraform” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the available documentation, the Terraform MCP Server provides a strong overview and practical setup guidance but lacks detailed information on prompts, resources, and tools in the public documentation. API key security is addressed. Overall, this MCP server scores moderately for completeness and usefulness in a general IaC context.

MCP Score