Terraform Mcp Server

What is Terraform MCP Server?

The ### Terraform MCP Server is a powerful tool designed to enhance the Terraform ecosystem by providing seamless integration and advanced automation capabilities for Infrastructure as Code (IaC) development. It allows developers to manage and orchestrate their infrastructure efficiently, leveraging Terraform's capabilities to automate the provisioning and management of cloud resources.

Features of Terraform MCP Server

• Seamless Integration: The Terraform MCP Server integrates smoothly with existing Terraform workflows, enabling users to leverage their current infrastructure management practices without disruption.
• Advanced Automation: It provides advanced automation features that simplify the process of managing complex infrastructure setups, reducing manual intervention and potential errors.
• Infrastructure as Code (IaC): Supports the IaC paradigm, allowing users to define their infrastructure using code, which can be versioned, shared, and reused.
• Scalability: The server is designed to handle large-scale deployments, making it suitable for enterprises with extensive infrastructure needs.
• Community Support: Being part of the HashiCorp ecosystem, it benefits from a large community of users and contributors, providing a wealth of resources and support.

How to Use Terraform MCP Server

1. Installation: Begin by installing the Terraform MCP Server on your preferred environment. Follow the official installation guide for detailed steps.
2. Configuration: Configure the server to connect with your existing Terraform setup. This may involve setting up authentication and defining your infrastructure requirements.
3. Define Infrastructure: Use Terraform configuration files to define your infrastructure. Specify the resources you need, their configurations, and any dependencies.
4. Deploy: Run the Terraform commands to deploy your infrastructure. The MCP Server will handle the orchestration and management of the resources as defined in your configuration files.
5. Monitor and Manage: Utilize the server's monitoring tools to keep track of your infrastructure's performance and make adjustments as necessary.

Frequently Asked Questions

Q1: What is the primary purpose of the Terraform MCP Server?

A1: The primary purpose of the Terraform MCP Server is to enhance the Terraform ecosystem by providing advanced automation and integration capabilities for managing infrastructure as code.

Q2: Can I use Terraform MCP Server with existing Terraform projects?

A2: Yes, the Terraform MCP Server is designed to integrate seamlessly with existing Terraform projects, allowing you to enhance your current workflows without starting from scratch.

Q3: Is there community support available for Terraform MCP Server?

A3: Absolutely! The Terraform MCP Server is part of the HashiCorp ecosystem, which has a vibrant community of users and contributors who provide support and resources.

Q4: How does Terraform MCP Server handle scalability?

A4: The Terraform MCP Server is built to manage large-scale deployments effectively, ensuring that it can handle extensive infrastructure needs without compromising performance.

Q5: What are the prerequisites for using Terraform MCP Server?

A5: Users should have a basic understanding of Terraform and Infrastructure as Code principles. Familiarity with cloud service providers and their APIs can also be beneficial.

<img src="public/images/Terraform-LogoMark_onDark.svg" width="30" align="left" style="margin-right: 12px;"/> Terraform MCP Server

The Terraform MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Terraform Registry APIs, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.

Features

• Dual Transport Support: Both Stdio and StreamableHTTP transports
• Terraform Provider Discovery: Query and explore Terraform providers and their documentation
• Module Search & Analysis: Search and retrieve detailed information about Terraform modules
• Registry Integration: Direct integration with Terraform Registry APIs
• Container Ready: Docker support for easy deployment

Caution: The outputs and recommendations provided by the MCP server are generated dynamically and may vary based on the query, model, and the connected MCP server. Users should thoroughly review all outputs/recommendations to ensure they align with their organization's security best practices, cost-efficiency goals, and compliance requirements before implementation.

Prerequisites

1. To run the server in a container, you will need to have Docker installed.
2. Once Docker is installed, you will need to ensure Docker is running.

Transport Support

The Terraform MCP Server supports multiple transport protocols:

1. Stdio Transport (Default)

Standard input/output communication using JSON-RPC messages. Ideal for local development and direct integration with MCP clients.

2. StreamableHTTP Transport

Modern HTTP-based transport supporting both direct HTTP requests and Server-Sent Events (SSE) streams. This is the recommended transport for remote/distributed setups.

Features:

• Endpoint: http://{hostname}:8080/mcp
• Health Check: http://{hostname}:8080/health
• Environment Configuration: Set MODE=http or PORT=8080 to enable

Environment Variables:

| Variable | Description | Default | |-|-|| | MODE | Set to http to enable HTTP transport | stdio | | PORT | HTTP server port | 8080 |

Command Line Options

### Stdio mode
terraform-mcp-server stdio [--log-file /path/to/log]

### HTTP mode
terraform-mcp-server http [--port 8080] [--host 0.0.0.0] [--log-file /path/to/log]

Installation

Usage with VS Code

Add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).

More about using MCP server tools in VS Code's agent mode documentation.

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

Optionally, you can add a similar example (i.e. without the mcp key) to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.

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

Usage with Claude Desktop / Amazon Q Developer / Amazon Q CLI

More about using MCP server tools in Claude Desktop user documentation. Read more about using MCP server in Amazon Q from the documentation.

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

Tool Configuration

Available Toolsets

The following sets of tools are available:

| Toolset | Tool | Description | |-||-| | providers | resolveProviderDocID | Queries the Terraform Registry to find and list available documentation for a specific provider using the specified serviceSlug. Returns a list of provider document IDs with their titles and categories for resources, data sources, functions, or guides. | | providers | getProviderDocs | Fetches the complete documentation content for a specific provider resource, data source, or function using a document ID obtained from the resolveProviderDocID tool. Returns the raw documentation in markdown format. | | modules | searchModules | Searches the Terraform Registry for modules based on specified moduleQuery with pagination. Returns a list of module IDs with their names, descriptions, download counts, verification status, and publish dates | | modules | moduleDetails | Retrieves detailed documentation for a module using a module ID obtained from the searchModules tool including inputs, outputs, configuration, submodules, and examples. | | policies | searchPolicies | Queries the Terraform Registry to find and list the appropriate Sentinel Policy based on the provided query policyQuery. Returns a list of matching policies with terraformPolicyIDs with their name, title and download counts. | | policies | policyDetails | Retrieves detailed documentation for a policy set using a terraformPolicyID obtained from the searchPolicies tool including policy readme and implementation details. |

Install from source

Use the latest release version:

go install github.com/hashicorp/terraform-mcp-server/cmd/terraform-mcp-server@latest

Use the main branch:

go install github.com/hashicorp/terraform-mcp-server/cmd/terraform-mcp-server@main

{
  "mcp": {
    "servers": {
      "terraform": {
        "command": "/path/to/terraform-mcp-server",
        "args": ["stdio"]
      }
    }
  }
}

Building the Docker Image locally

Before using the server, you need to build the Docker image locally:

1. Clone the repository:

git clone https://github.com/hashicorp/terraform-mcp-server.git
cd terraform-mcp-server

2. Build the Docker image:

make docker-build

3. This will create a local Docker image that you can use in the following configuration.

### Run in stdio mode
docker run -i --rm terraform-mcp-server:dev

### Run in http mode
docker run -p 8080:8080 --rm -e MODE=http terraform-mcp-server:dev

4. (Optional) Test connection in http mode

### Test the connection
curl http://localhost:8080/health

5. You can use it on your AI assistant as follow:

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

Development

Prerequisites

• Go (check go.mod file for specific version)
• Docker (optional, for container builds)

Available Make Commands

| Command | Description | ||-| | make build | Build the binary | | make test | Run all tests | | make test-e2e | Run end-to-end tests | | make docker-build | Build Docker image | | make run-http | Run HTTP server locally | | make docker-run-http | Run HTTP server in Docker | | make test-http | Test HTTP health endpoint | | make clean | Remove build artifacts | | make help | Show all available commands |

Contributing

1. Fork the repository
2. Create your feature branch
3. Make your changes
4. Run tests
5. Submit a pull request

License

This project is licensed under the terms of the MPL-2.0 open source license. Please refer to LICENSE file for the full terms.

Security

For security issues, please contact security@hashicorp.com or follow our security policy.

Support

For bug reports and feature requests, please open an issue on GitHub.

For general questions and discussions, open a GitHub Discussion.