MCP SERVER
InsideOut
Conversational AI agent that designs AWS or GCP infrastructure end-to-end — describe your application in plain English, and Riley designs the architecture, generates production-ready Terraform, estimates monthly costs, and deploys. ## Highlights - **24 tools** across design, deployment, and post-deploy infrastructure inspection - Coverage of 50+ AWS and GCP services - Module-by-module Terraform output (networking, compute, storage, auth, observability, …) - Cost estimates broken down per component before any deploy - One-command provisioning to AWS or GCP, then live monitoring + drift detection - No Terraform expertise required ## Hosted Streamable HTTP, no-auth required: `https://app.luthersystems.com/v1/insideout-mcp` ## Other listings - **mcp.so:** https://mcp.so/server/insideout - **Glama:** https://glama.ai/mcp/servers/luthersystems/insideout-agent-skills - **Official MCP Registry:** `com.luthersystems.insideout/mcp` ## Source Skills bundle and MCP discovery artifacts: https://github.com/luthersystems/insideout-agent-skills
What it provides
Conversational AI agent that designs AWS or GCP infrastructure end-to-end — describe your application in plain English, and Riley designs the architecture, generates production-ready Terraform, estimates monthly costs, and deploys. ## Highlights - **24 tools** across design, deployment, and post-deploy infrastructure inspection - Coverage of 50+ AWS and GCP services - Module-by-module Terraform output (networking, compute, storage, auth, observability, …) - Cost estimates broken down per component before any deploy - One-command provisioning to AWS or GCP, then live monitoring + drift detection - No Terraform expertise required ## Hosted Streamable HTTP, no-auth required: `https://app.luthersystems.com/v1/insideout-mcp` ## Other listings - **mcp.so:** https://mcp.so/server/insideout - **Glama:** https://glama.ai/mcp/servers/luthersystems/insideout-agent-skills - **Official MCP Registry:** `com.luthersystems.insideout/mcp` ## Source Skills bundle and MCP discovery artifacts: https://github.com/luthersystems/insideout-agent-skills
Connect through MCP
Attach the server under an Agent’s MCP servers configuration and inspect its advertised tools before use.
Production fit
SandBase keeps the capability alongside the model, runtime and execution trace so the workflow remains reviewable.