Deterministic AI data-center design engine exposed as MCP tools for sizing, validation, and physical layout. Supports NVIDIA Hopper, Blackwell, and Vera Rubin with anonymous access to the remote engine.
An MCP server that provides a multidimensional philosophical framework for prompt engineering by mapping intent across ten distinct branches of thought. It generates a principled construction basis, including active constructs and spectrum tensions, to guide the creation of structured and intentional prompts.
Enables AI assistants to have a living memory with atomic knowledge storage, multi-factor recall, organic decay, automatic learning, and graph traversal via MCP.
Enables AI-powered PLC programming with natural language to ladder logic conversion, L5X and .ACD project generation, and semantic search through L5X files and documentation.
Enables natural-language management of Kubernetes clusters via kubectl-ai and Gemini, providing commands like listing pods, scaling deployments, and retrieving logs through a FastAPI backend.
Describe your AI use case in plain English, get ranked model recommendations with cost estimates and tradeoff reasoning. Covers 62 models across 29 providers. Available as a web app (BYOK + guest tier) and as an MCP server for Claude Desktop and Cursor — same recommendation engine, two interfaces.