- InsideOut — Riley Infrastructure Agent
InsideOut — Riley Infrastructure Agent
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
- Official MCP Registry:
com.luthersystems.insideout/mcp— https://registry.modelcontextprotocol.io - Glama: https://glama.ai/mcp/servers/luthersystems/insideout-agent-skills
- Smithery: https://smithery.ai/servers/luther-systems/insideout
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 agoUpdated At
a month agoAuthor Name
luthersystemsStar
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