"author:mctlhq" matching MCP servers:

Bridges Archetype AI's Newton physical-world foundation model to any MCP-compatible agent, letting it answer natural-language questions grounded in inline text/JSON events or uploaded files, and turn channel-first sensor windows into 768-dimensional per-channel embeddings. It exposes just a couple of auditable tools over Newton's documented query API, with a mock backend for credential-free use and a proposed contract layer for policy-approved, verified physical actions.

AI-native control plane for Kubernetes and GitOps. Provides 30+ tools for service deployment, database provisioning, and log management via natural language.

Enables natural-language discovery and resolution of movies and TV shows into verified canonical media, then requesting them through an existing Seerr/Radarr/Sonarr stack. Exposes these capabilities via MCP tools and a REST API for AI agents.

Enables managing a self-hosted Coolify PaaS from Claude, Cursor, or any MCP client through 45 tools for deploying, rolling back, debugging, and operating applications, databases, services, projects, and environments in plain English. Destructive operations pause for human confirmation and secrets stay masked.