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.

• 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.

Security Note: When using the StreamableHTTP transport in production, always configure the MCP_ALLOWED_ORIGINS environment variable to restrict access to trusted origins only. This helps prevent DNS rebinding attacks and other cross-origin vulnerabilities.

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.

The Terraform MCP Server supports multiple transport protocols:

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

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 TRANSPORT_MODE=http or TRANSPORT_PORT=8080 to enable

Environment Variables:

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

# StreamableHTTP mode
terraform-mcp-server streamable-http [--transport-port 8080] [--transport-host 127.0.0.1] [--mcp-endpoint /mcp] [--log-file /path/to/log]

The Terraform MCP Server supports two session modes when using the StreamableHTTP transport:

• Stateful Mode (Default): Maintains session state between requests, enabling context-aware operations.
• Stateless Mode: Each request is processed independently without maintaining session state, which can be useful for high-availability deployments or when using load balancers.

To enable stateless mode, set the environment variable:

export MCP_SESSION_MODE=stateless

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"
      ]
    }
  }
}

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"
      ]
    }
  }
}

The following sets of tools are available:

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"]
      }
    }
  }
}

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 streamable-http mode
docker run -p 8080:8080 --rm -e TRANSPORT_MODE=streamable-http -e TRANSPORT_HOST=0.0.0.0 terraform-mcp-server:dev

Note: When running in Docker, you should set TRANSPORT_HOST=0.0.0.0 to allow connections from outside the container.

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"
      ]
    }
  }
}

The Terraform MCP Server is organized into the following packages:

• pkg/client/ - Core API clients and types
  • hcp_terraform/ - HCP Terraform API client with workflow types
  • common.go - Shared client utilities
• pkg/tools/ - MCP tool implementations
  • hcp_terraform/ - HCP Terraform-specific tools and handlers
  • Registry tools for modules, providers, and policies
• pkg/resources/ - MCP resource implementations
  • Resource handlers for guides and templates
• pkg/prompts/ - MCP prompt resources
  • Workspace analysis and other prompt templates
• pkg/utils/ - Shared utilities and helpers
• cmd/terraform-mcp-server/ - Main application entry point

• Comprehensive Workspace Analysis - Deep analysis of HCP Terraform workspaces including variables, configurations, and state
• Configuration Management - Tools for preparing and modifying Terraform configurations
• Terraform Registry Integration - Search and retrieve modules, providers, and policies
• Resource Templates - Dynamic provider documentation retrieval

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

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

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

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

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

For general questions and discussions, open a GitHub Discussion.