Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
LLM character consistency engine — generates structured JSON constraints from 4 multiple-choice questions about an AI's psychology. Drop the JSON into any LLM's system prompt to prevent persona drift; reduces inference cost from retries. 160,000 personality patterns; works with any LLM.
Official remote MCP server for Lobby, an AI receptionist for small businesses. Seven free no-auth tools: write business phone scripts and IVR menus (English + Mexican Spanish), generate ElevenLabs agent system prompts, calculate missed-call cost, get a hire-a-receptionist verdict, role-play a call against the live receptionist engine, and get a real demo number to call. Typed structured outputs.