MCP as a Judge is a behavioral MCP server that acts as a validation layer between AI coding assistants and LLMs. By enforcing evidence - based research, code quality reviews, and human decision - making intervention, it ensures the generation of safer and higher - quality code.

EasyChatDM is an educational project for creating simple MCP server tools, aiming to provide random decision - making tools for D&D games through generative AI.

The Athena Protocol is an intelligent MCP server acting as a technical leader for AI programming agents, providing expert verification, impact analysis, and strategic guidance. It helps AI agents detect problems, validate assumptions, and optimize solutions before code changes, thereby improving code quality, reducing regressions, and making more informed architectural decisions.

The MCP Human - Machine Collaboration Server is an intelligent middleware that dynamically determines when human intervention is needed in the AI decision - making process through a multi - dimensional scoring system

JMComic AI is an AI - enhanced tool for the JMComic comic crawler. It exposes functions such as searching and downloading to local AI clients through the MCP protocol, allowing users to operate comic downloads in natural language and injecting usage skills knowledge to improve the AI's decision - making ability.

The Subconscious AI MCP Server is a tool based on the Model Context Protocol that allows users to run AI - driven conjoint experiments through AI assistants such as Claude and Cursor. It uses causal inference and synthetic population data for decision - making analysis and provides REST API and real - time update functions.

NeoCoder is an AI programming assistance system based on the Neo4j knowledge graph. It enables the interaction between AI assistants and the knowledge graph through an MCP server, providing standardized coding workflows, dynamic instruction manuals, and project memory functions. The system supports multiple operation modes (incarnations), including basic programming, scientific research, decision - making analysis, complex system modeling, knowledge graph management, and code analysis. It stores workflow templates and execution records in Neo4j to ensure the traceability and standardization of the coding process.

This project is a Model Context Protocol (MCP) server designed for Spinnaker, enabling standardized interaction between AI models and the Spinnaker deployment system, supporting intelligent decision - making, automated operation and maintenance, and continuous optimization of the CI/CD process.

An MCP server that supports collaborative debates among multiple AI agents to achieve consensus - based decision - making

Autonomous Lab is an MCP server that can transform any senior - novice workflow into an autonomous loop. AI agents play different roles (such as PI and trainee) in a design - execute - review loop, while humans act as decision - making editors. No additional API keys are required, and it can run using existing coding tool subscriptions. It supports multi - agent mode, skill container configuration, and 24 - hour continuous sessions.

An MCP server that provides cryptocurrency ETF fund flow data to support decision - making for AI agents.

Engram is a hosted MCP service that provides reliable memory for AI agents, enabling AI to remember past conversations, facts, and decisions, making it more like a real team member.