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Designs, prices, and deploys AWS/GCP cloud infrastructure from plain-English requirements.
InsideOut (Riley) is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding InsideOut (Riley) to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add com.luthersystems.insideout/mcp https://app.luthersystems.com/v1/insideout-mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-05-05T03:26:11.60396Z",
"publishedAt": "2026-05-05T03:26:11.60396Z",
"statusChangedAt": "2026-05-05T03:26:11.60396Z"
}
},
"server": {
"name": "com.luthersystems.insideout/mcp",
"title": "InsideOut (Riley)",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://app.luthersystems.com/v1/insideout-mcp",
"type": "streamable-http"
}
],
"version": "0.36.3",
"packages": [
{
"transport": {
"type": "stdio"
},
"identifier": "docker.io/luthersystems/insideout-mcp:v0.36.3",
"registryType": "oci"
}
],
"repository": {
"url": "https://github.com/luthersystems/insideout-agent-skills",
"source": "github"
},
"websiteUrl": "https://insideout.luthersystems.com",
"description": "Designs, prices, and deploys AWS/GCP cloud infrastructure from plain-English requirements."
}
}