deliberate-reasoning-engine and Adaptive-Graph-of-Thoughts-MCP-server
About deliberate-reasoning-engine
haasonsaas/deliberate-reasoning-engine
MCP server that transforms linear AI reasoning into structured, auditable thought graphs
Implements semantic thought categorization (objectives, hypotheses, assumptions, evidence, critiques) as nodes in a directed acyclic graph with explicit dependency tracking and cascade invalidation—when an assumption is disproven, all dependent reasoning automatically becomes stale. Integrates with Claude Desktop via the Model Context Protocol, exposing tools for logging structured thoughts, retrieving the reasoning graph, and invalidating assumptions to maintain reasoning consistency.
About Adaptive-Graph-of-Thoughts-MCP-server
SaptaDey/Adaptive-Graph-of-Thoughts-MCP-server
LLM Reasoning Framework for Scientific Research
Implements an 8-stage reasoning pipeline with Neo4j graph storage and MCP protocol exposure, enabling real-time evidence integration from PubMed, Google Scholar, and Exa Search with multi-dimensional confidence scoring. Built on FastAPI with async Neo4j operations and designed for seamless Claude Desktop/VS Code integration through native MCP endpoints. Supports uncertainty quantification and dynamic hypothesis pruning to refine reasoning chains into evidence-backed scientific conclusions.
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