A collection of Model Context Protocol servers providing advanced capabilities for AI assistants including professional accuracy enforcement, tool safety protocols, user preference management, and intelligent context monitoring.
A Model Context Protocol server providing pre-curated canonical memory, prose/code provenance checking, and benchmark metrics to improve accuracy and reduce costs across AI tools.
A Model Context Protocol server that provides knowledge graph-based persistent memory for LLMs, allowing them to store, retrieve, and reason about information across multiple conversations and sessions.
A Model Context Protocol server that enables collaborative debates between multiple AI agents, allowing them to discuss and reach consensus on user prompts.
A backend server that executes advanced logic primitives and cognitive operations through the Model Context Protocol, allowing integration with various LLM providers for reasoning, data processing, and structured thought processing.
A Model Context Protocol server that empowers AI agents with metacognitive monitoring to detect reasoning loops and provide intelligent recovery using case-based reasoning and statistical analysis.
