Unifies structured reasoning (Tree of Thoughts) with reliable task execution, enabling LLM agents to think, commit, execute, and trace cognitive provenance through a single MCP server.
A cognitive optimization engine exposed as an MCP server that amplifies LLM reasoning through self-consistency sampling, MCTS, Dung argumentation, symbolic verification, and measured confidence.
Exposes 120 named mental models as reasoning primitives via MCP, enabling AI agents to apply structured reasoning, generate prompts, and persist ledger-style outputs deterministically.
Provide systematic thinking, mental models, and debugging approaches to enhance problem-solving capabilities. Enable structured reasoning and decision-making support for complex problems. Facilitate integration with MCP-compatible clients for advanced cognitive workflows.
Advanced cognitive thinking MCP server with DAG-based thought graph, multiple reasoning strategies, metacognition, and self-evaluation.
A significant evolution beyond sequential-thinking MCP, providing structured deep reasoning with graph-based thought management.