A self-hosted MCP server that provides tools for structured reasoning, confidence calibration, and detecting recurring gaps in AI outputs, aiming to reduce workload by improving verification and attention allocation.
A structured reasoning and problem-solving MCP server that helps track step-by-step analysis with confidence levels, branching, and revisions, ideal for complex multi-step tasks like code optimization and debugging.
Self-hosted MCP server that gives coding agents persistent, code-aware memory with structural graph recall and blast-radius planning. It links experiential decisions to code locations and provides honest measurement instruments.
An MCP server that exposes tools for sub-agent style reasoning across multiple LLM providers, enabling delegation of prompts to various models and running critique loops, debates, red-teaming, and answer ranking.
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.
A structured problem-solving MCP server that breaks down complex tasks into sequential steps, supports iterative refinement and branching, and helps maintain context and explore alternative reasoning paths.
