# Terraform Ingest MCP

> Use this tool when you need to analyze and ingest Terraform modules from multiple repositories to inform AI RAG systems, solving problems of module discovery and integration. It takes in Terraform modules as input and outputs analyzed data for AI systems, enabling informed decision-making. Ideal for use cases where multi-repository Terraform module analysis is required to support AI-driven infrastructure management.

Canonical page: https://skillsregistry.net/skills/io-github-zloeber-terraform-ingest  
JSON: https://api.skillsregistry.net/v1/skills/io-github-zloeber-terraform-ingest

## Description

Ingest and analyze Terraform modules from multiple repositories for AI RAG systems

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.15
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.zloeber%2Fterraform-ingest)

## 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": "io-github-zloeber-terraform-ingest"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-zloeber-terraform-ingest` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-zloeber-terraform-ingest/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