InsideOut — Riley Infrastructure Agent

Created By
luthersystemsa month ago
Conversational AI agent that designs AWS/GCP architecture, generates Terraform, estimates costs, and deploys — all through MCP.
Overview

InsideOut exposes Riley, an AI infrastructure advisor, as an MCP server. Describe your application in plain English — Riley designs a complete AWS or GCP architecture, generates production-ready Terraform, estimates monthly costs, and deploys.

Key features

  • Conversational infrastructure design across 50+ AWS and GCP services
  • Monthly cost estimation broken down by component before deploy
  • Terraform generated by module (networking, compute, storage, auth, etc.)
  • One-command deployment to AWS or GCP
  • Live deployment monitoring and post-deploy infrastructure management
  • No Terraform expertise required

Install options

  • Claude Code: /plugin marketplace add luthersystems/insideout-claude-code
  • Kiro IDE: insideout-power plugin
  • Cursor / any MCP agent: add https://app.luthersystems.com/v1/insideout-mcp (streamable-http) to MCP config
  • Docker: docker run -i luthersystems/insideout-mcp
  • Agent Skills (30+ tools): npx skills add insideout

Cross-listings

Category

Cloud Infrastructure / DevOps / Terraform

Server Config

{
  "mcpServers": {
    "insideout": {
      "type": "http",
      "url": "https://app.luthersystems.com/v1/insideout-mcp"
    }
  }
}
Project Info
Created At
a month ago
Updated At
a month ago
Author Name
luthersystems
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