# tfmcp

> Use this tool when you need to manage Terraform infrastructure with AI-assisted analysis and automation, solving problems like configuration validation and state management across multiple project environments. It provides inputs like Terraform configurations and outputs like resource listings and validation results through a JSON-RPC 2.0 interface. Use tfmcp in contexts where seamless integration with Claude Desktop and robust infrastructure management are required.

Canonical page: https://skillsregistry.net/skills/nwiizo-terraform  
JSON: https://api.skillsregistry.net/v1/skills/nwiizo-terraform

## Description

tfmcp is a Rust-based MCP server for Terraform infrastructure management, providing AI-assisted tools for analyzing, initializing, planning, and applying Terraform configurations. Built by nwiizo, it enables seamless integration with Claude Desktop through a JSON-RPC 2.0 protocol, supporting operations like resource listing, configuration validation, and state management across different project environments.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nwiizo-terraform)
- **Repository:** <https://github.com/nwiizo/tfmcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nwiizo-terraform"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nwiizo-terraform` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nwiizo-terraform/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
