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
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-08-30.
Scan details: Circle-IR · 2026-08-30 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- Smithery
- Author type
- human
- Last scanned
- 2026-08-30
- Updated
- 2026-08-30
Use via MCP
Resolve InsideOut from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.