#cognitive

Mirror of

Branch-Thinking MCP Tool A TypeScript-powered MCP server for managing parallel branches of thought, semantic cross-references, and persistent tasks. Features dynamic scoring, AI-generated insights, batch operations, and visual graph navigation for advanced agentic workflows.

A powerful server providing advanced thinking tools via the Model Context Protocol (MCP) to enhance the reasoning, planning, and iterative refinement capabilities of AI agents like Cline.

Map text into knowledge graphs to create a structured representation of conceptual relations and topical clusters in your documents. Detect content gaps between the topical clusters and generate research questions to drive research and content creation using the powerful Graph RAG technology underpinning InfraNodus. Get additional insights about texts: main topics, keywords, and underlying themes. Connect to your existing InfraNodus graphs or create new ones to enrich analysis and outputs.

**Explore the I Ching with Quantum-Powered Reflection** Dive into the ancient wisdom of the I Ching, the 3,000-year-old Chinese *Book of Changes*, now enhanced with quantum random number generation. Generate true-random hexagrams for self-reflection, guided by AI-powered analysis combining classical interpretations, historical insights, and modern applications. Discover patterns, make decisions, and explore change with a tool that bridges ancient philosophy and cutting-edge technology.

**Explore the I Ching with Quantum-Powered Reflection** Dive into the ancient wisdom of the I Ching, the 3,000-year-old Chinese *Book of Changes*, now enhanced with quantum random number generation. Generate true-random hexagrams for self-reflection, guided by AI-powered analysis combining classical interpretations, historical insights, and modern applications. Discover patterns, make decisions, and explore change with a tool that bridges ancient philosophy and cutting-edge technology.

the mcp server for pattern-cognition

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. Features DAG-Based Thought Graph — Thoughts form a directed acyclic graph with branching, merging, and cross-edges (not just a linear chain) 5 Reasoning Strategies — Sequential, Dialectic (thesis→antithesis→synthesis), Parallel, Analogical, Abductive (inference to best explanation) Confidence Scoring — Multi-factor confidence evaluation with support/contradiction analysis, depth penalties, and knowledge integration boosts Self-Critique — Automatic critique generation with severity levels and confidence adjustments Metacognitive Engine — Detects stuck states, stagnation, declining confidence; suggests strategy switches and corrective actions Knowledge Integration — Attach external knowledge to thoughts, detect gaps, validate consistency across sources Thought Pruning — Dead-end detection, redundancy removal, deep unproductive branch elimination, path optimization