The MAGI MCP Server is a server implementation of a code review system based on the Model Context Protocol (MCP), providing standardized interfaces for code submission and review processes, and supporting multi - agent reviews and majority decision - making mechanisms.

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 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

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.

The MCP server of the Weik.io integration platform provides full - lifecycle integration assistance for developers, supports Apache Camel components and Weik.io functionality, and includes tools for integration process initialization, deployment, and decision - making support.

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

A deep thinking and analysis server based on the Gemini API, providing multi - perspective problem analysis, integration of critical and creative thinking, code quality assessment, and optimization suggestions, supporting technical decision - making and solution design.

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

Sequential Thinking Ultra is an advanced sequential thinking server based on the MCP protocol, integrating the Ultra Think methodology and providing structured problem - solving capabilities. Core functions include step - by - step processing, quality validation, bias detection, and resource management, supporting automatic query rewriting and meta - reasoning checkpoints. It is suitable for step - by - step analysis of complex problems and optimized decision - making.

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.