Terraform Mcp Server By Binadox
LocalAbout Terraform Mcp Server By Binadox
Binadox’s Terraform MCP server validates and completes Terraform configurations, checks security, and estimates cloud costs. It is for users generating or modifying infrastructure code through MCP clients, with AWS security checks and cost analysis for AWS, Azure, and GCP.
Key features
- 01Validate and complete Terraform configurations
- 02Detect common security misconfigurations
- 03Estimate monthly cloud resource costs
- 04Organize output into files and modules
- 05Provide cost data for AWS, Azure, and GCP
Use cases
- 01Generate runnable Terraform configurations
- 02Check infrastructure security before deployment
- 03Estimate monthly costs for proposed cloud resources
MCP support
The server exposes Terraform preparation, analysis, and cost-estimation tools to MCP clients. Security checks cover AWS, while Azure and GCP are supported for cost analysis.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMETerraform 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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.