Sponsored by Deepsite.site

Terraform Mcp Server By Binadox

Created By
binadox-public2 months ago
MCP server for Terraform — automatically validates, secures, and estimates cloud costs for Terraform configurations. The Binadox solution integrates with any Model Context Protocol (MCP) client (e.g. Claude Desktop or other MCP-compatible AI assistants).
Content

Terraform MCP Server by Binadox

MCP server for Terraform — automatically validates, secures, and estimates cloud costs for Terraform configurations. Developed by Binadox, it integrates with any Model Context Protocol (MCP) client (e.g. Claude Desktop or other MCP-compatible AI assistants).


Table of Contents


Overview

The Binadox Terraform MCP Server is an MCP (Model Context Protocol) server that helps large language models (LLMs) safely generate Terraform infrastructure code with built-in cost estimation and security checks before deployment.

It acts as a bridge between your AI assistant and Terraform: when your LLM needs to produce or modify cloud infrastructure code, this server augments the AI’s response with structured tooling (validation, linting, security analysis, cost data) instead of relying solely on the model’s guesses. This ensures the Terraform configuration you get is more complete, secure, and cost-aware from the start.


Features

  • Code validation & completion – Processes Terraform snippets and fills in missing parts (providers, versions, variables) for a runnable configuration.
  • Security analysis – Detects common misconfigurations and insecure defaults (open ports, missing encryption, etc.) in the generated code.
  • Cost estimation – Computes a monthly cloud cost breakdown for the proposed resources using real pricing data.
  • File organization – Organizes output into logical Terraform files/modules (e.g. groups resources into modules, adds terraform.tfvars if needed).
  • Easy integration – Works with any MCP-compatible client (tested with Claude Desktop) for seamless use in your AI-driven workflow.

Compatibility & Requirements

ComponentSupported / Tested Version
Go1.22+
Terraform CLI1.6+
CloudsAWS (full: cost + checks), Azure & GCP (cost only, checks in roadmap)
MCP ClientsClaude Desktop (tested), other MCP-compatible clients

Prerequisites

  • Go toolchain (if building from source)
  • Terraform CLI 1.6+ installed
  • Valid Binadox API token
  • Internet access to Binadox pricing API
  • Write access to /tmp/terraform/...

Installation

To install binadox-terraform-mcp, clone the repository and build the binary with Go. Then, add the executable path to your Claude Desktop configuration file claude_desktop_config.json under the mcpServers section, including your Binadox API URL and token. Finally, restart Claude Desktop to apply the changes and start using the Terraform MCP server.

  1. Clone and build:
git clone https://github.com/binadox/binadox-terraform-mcp
cd binadox-terraform-mcp
go build -o terraform-mcp-server *.go
  1. Configure your MCP client (example: Claude Desktop)
# Add to Claude Desktop config
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "terraform": {
      "command": "/path/to/terraform-mcp-server",
      "env": {
        "TERRAFORM_ANALYSIS_URL": "https://app.binadox.com/api/1/organizations/pricing/terraform/mcp",
        "TERRAFORM_ANALYSIS_TOKEN": "your-token"
      }
    }
  }
}
  1. Restart your MCP client to apply the configuration.

Usage

No additional CLI commands are required. Once installed and configured, the server operates behind the scenes to:

  • Validate and complete Terraform code via prepare_terraform
  • Analyze for misconfigurations via analyze_terraform
  • Estimate cloud costs via calculate_cost

All output files are written to /tmp/terraform/<timestamp> and zipped if needed.


Examples

Cost Overrun Prevention

User: Generate terraform for a simple demo environment

Cost Analysis: $1,847/month
- m5.2xlarge instances
- Multi-AZ RDS
- NAT Gateways in 3 AZs

Security Misconfiguration Detection

User: Create an RDS database with a security group

Security Analysis:
- 0.0.0.0/0 open access
- No encryption at rest
- 1-day backup retention

Completing Incomplete Configurations

User: Add resource "aws_s3_bucket" "data" { bucket = "my-data" }

Without MCP: Fails – no provider block  
With MCP: Adds provider, variables, and metadata – configuration runs

Security & Privacy

The server runs locally and does not access cloud credentials.

  • Files are saved under /tmp/terraform/ and are not sent externally.
  • Only cost data is requested remotely using your Binadox token.
  • No telemetry or analytics are collected.

API Requirements

Cost analysis requires a Binadox API token. Binadox provides real-time cloud pricing data across AWS, Azure, and GCP. Get your token at binadox.com.


Documentation


License

Apache 2.0

Server Config

{
  "mcpServers": {
    "terraform": {
      "command": "/path/to/terraform-mcp-server",
      "env": {
        "TERRAFORM_ANALYSIS_URL": "https://app.binadox.com/api/1/organizations/pricing/terraform/mcp",
        "TERRAFORM_ANALYSIS_TOKEN": "your-token"
      }
    }
  }
}
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
DeepChatYour AI Partner on Desktop
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Playwright McpPlaywright MCP server
Serper MCP ServerA Serper MCP Server
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Tavily Mcp
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
WindsurfThe new purpose-built IDE to harness magic
ChatWiseThe second fastest AI chatbot™
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
CursorThe AI Code Editor
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Amap Maps高德地图官方 MCP Server