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).
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
- Features
- Compatibility & Requirements
- Installation
- Usage
- Examples
- Security & Privacy
- API Requirements
- Documentation
- License
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.
Learn more about how to manage Terraform-driven infrastructure with our tool here: Binadox IaC Cost Tracker.
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.tfvarsif needed). - Easy integration – Works with any MCP-compatible client (tested with Claude Desktop) for seamless use in your AI-driven workflow.
Compatibility & Requirements
| Component | Supported / Tested Version |
|---|---|
| Go | 1.22+ |
| Terraform CLI | 1.6+ |
| Clouds | AWS (full: cost + checks), Azure & GCP (cost only, checks in roadmap) |
| MCP Clients | Claude 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.
- Clone and build:
git clone https://github.com/binadox/binadox-terraform-mcp
cd binadox-terraform-mcp
go build -o terraform-mcp-server *.go
- 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"
}
}
}
}
- 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.
Documentation
- Architecture - Technical deep dive
- Examples - Common prompts and patterns
- Testing - Test scenarios
- Deployment - Production setup
License
Apache 2.0
Related Servers
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
SimpleLocalize
A MCP server for SimpleLocalize, a translation management system. Requires a SimpleLocalize API key.
stdout-mcp-server
Captures and manages stdout logs from multiple processes via a named pipe system for real-time debugging and analysis.
Remote MCP Server (Authless)
An example of a remote MCP server deployable on Cloudflare Workers without authentication.
StatsWR MCP Server
A template for deploying a remote MCP server on Cloudflare Workers without authentication.
Serencp
VM serial console viewer
Kubernetes MCP Server
Inspect and debug Kubernetes clusters with read-only access to resources, CRDs, and pod logs.
Teleprompter
A server for managing and reusing prompts with Large Language Models (LLMs).
Coding Prompt Engineer MCP Server
Rewrites coding prompts for optimal results with AI IDEs like Cursor AI, powered by Claude by Anthropic.
Vercel Domains MCP
Query domains on Vercel
Airflow MCP Server
Control Apache Airflow via its API using JWT authentication.