"Fandom" matching MCP servers:

Teaching LLMs that Math.random() is so last century

Enables multi-worker autonomous agent orchestration: decompose complex tasks, run parallel workers, auto-review, and generate follow-up tasks via the Model Context Protocol.

An MCP server that provides AI agents with structured devil's advocate counter-arguments for their decisions, charged per call in USDT. It exposes a decision_qc tool to evaluate a decision and return rebuttals, risks, and a self-reflection question.

Enables dynamic persona injection and post-processing for LLM conversations through a six-layer engine. Supports commands and state management for personalized interactions.