Tyler Blaine Hall

Fully functional AI Logic Calculator utilizing Prover9/Mace4 via Python based Model Context Protocol (MCP-Server)- tool for Windows Claude App etc

Provides code structure and semantic analysis using AST and ASG for multiple programming languages, enhancing code analysis capabilities in Claude Desktop.

A MCP (Model Context Protocol) client that uses Google Gemini AI models for intelligent tool usage and conversation handling. Tested working nicely with Claude Desktop as an MCP Server currently. Based on untested AI gen code by a non-coder use at own risk.

Enables AI assistants to utilize a Neo4j knowledge graph for dynamic coding workflows and project memory management.

An MCP server to expose Memvid functionalities to AI clients

The Aura Emotion AI system has chroma with a local embedding model, memvid qr code mp4 infinite memory, brainwave and neurochemical simulations, sociobiological reasoning, autonomous subsystem processing with a Gemini flash model so the main model is less taxed, is a MCP client with adaptive tool learning and MCP server.

Allows AI to perform advanced reasoning, store the reasoning automatically, and can create system prompts or domain knowledge as libraries.

Transforms raw text into interconnected knowledge graphs and autonomously generates insights through advanced pattern detection. It combines formal semantic analysis (Montague Grammar) with Zettelkasten methodology to create a true cognitive partnership with AI.

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AI MCP Tools for Creating, Storing, and Utilizing Diagrams and Mind-maps with a Permanent Library.

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AI Reasoning system that combines OpenEnded Philosophy with Non-Axiomatic Reasoning System (NARS) for enhanced epistemic analysis, truth maintenance, and multi-perspective synthesis.

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A modular narrative engineering system that uses neurochemical pacing, Jungian depth psychology, structural paradigm selection, and automated pathology diagnostics to produce fiction that resists the default failure modes of AI-generated prose.

A Model Context Protocol server that provides narrative, character, and archetypal storytelling tools to AI assistants.

A local Model Context Protocol server for training small text classifiers with Extreme Learning Machines (ELMs). It supports in-memory inference and optional SurrealDB persistence, prediction monitoring, and vector storage.

Bayesian MCTS Model Context Protocol Server allowing Claude to control Ollama local models for Advanced MCTS and analysis.

Use fast-agent to use MCP tools with local LLM, API or Claude Desktop. WIP

A locally-running Python REPL server that integrates with Claude Desktop through the Model Context Protocol (MCP). This runs entirely on your local machine with no need for API keys or remote execution.

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Data-Forge is a Model Context Protocol (MCP) server that transforms any LLM into a powerful Data Science Assistant. It provides a suite of high-performance tools for data loading, cleaning, validation, profiling, feature engineering, and visualization.

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Bridges the "black box" problem by creating a formal, inspectable decision layer. Each decision traces to explicit logical operations - no hidden states. Leverage NN perception while maintaining human-interpretable decision logic.

The MCP Coordinator is a self-optimizing orchestrator that bridges the gap between high-level human intent and low-level system execution. It is characterized by its ability to learn (skills), scale (recursion), adapt (discovery), and reflect (RAA).

A MCP for an AI development environment orchestrator that can coordinate complex multi-service workflows, manage dependencies automatically, and provide visual process management.

Jev agent workstation.

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Gemini-powered MCP (Model Context Protocol) Client