A reasoning orchestration MCP server that enables tree-of-thoughts thinking, multi-phase planning, and multi-agent evaluation for complex problem-solving.
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.
Provides an MCP server that decomposes complex problems into ordered, isolated reasoning contexts, yielding compressed summaries before discarding intermediate steps. Enables sequential or parallel step execution with optional verification for more reliable LLM reasoning.
An MCP server that structures AI reasoning as directed acyclic graphs of semantic thoughts, enabling explicit dependencies, assumption tracking, and cascade invalidation for transparent decision-making.