Zetmem is an AI-assisted memory server project based on the Zettlekasten method, aiming to provide a persistent context memory system for AI programming tools such as Claude, supporting code memory storage, retrieval, and intelligent evolution across sessions and projects.

The task portal system is a self - evolving general problem - solving institution with core components such as logical reasoning, ethical framework, sequential thinking, and meta - framework, which can safely self - evolve and solve complex problems.

An MCP server that connects Claude and WhatsApp, enabling automated interaction features through the Evolution API

EvolveMCP is an open - source project that enables Claude AI to independently build, install, and use tools, expanding the practical capabilities of AI through Python code execution.

The MCP Evo Supergateway is a gateway application for connecting to the Evolution API, providing remote connection and tool integration capabilities through the SSE endpoint.

Worker17 is a worker management system that combines 3D monitoring with the MCP protocol. It includes a web visualization interface and a server-side, supporting AI-assisted management through Claude Desktop. The project initially started as a joke and later evolved into a technical exploration of the MCP server.

An MCP service that automatically optimizes AI prompts based on evolutionary algorithms, iteratively improving prompt performance through genetic algorithms

A Pokémon data MCP server based on PokeAPI, providing functions for querying Pokémon information, move details, and obtaining evolution chains.

The NSAF MCP Server is a server-side implementation of the Model Context Protocol (MCP) used to connect AI assistants with the Neural-Symbolic Autonomous Framework (NSAF), providing evolutionary algorithms and architecture comparison functions.

MarecoX MCP Servers is an automated installation script project for deploying three different types of MCP servers: Google Calendar MCP, Evolution API MCP, and Instagram MCP. The project provides two installation methods: one - click installation and step - by - step installation, and supports multiple functions such as event management, message sending, and media management.

The NSAF MCP Server is a server-side service for the neural-symbolic autonomous framework based on the Model Context Protocol, allowing AI assistants to interact with the NSAF framework through the MCP protocol and providing functions such as running evolutionary algorithms and comparing intelligent agent architectures.

This project implements an advanced sequential thinking process based on the Multi - Agent System (MAS), which is built using the Agno framework and provided services by MCP. Compared with simple state - tracking methods, it uses coordinated specialized agents for in - depth analysis and problem decomposition, evolving from a passive thinking recorder to an active thinking processor.

PokeMCP is a server based on the MCP protocol, which provides detailed Pokémon information query functions, including attributes, moves, evolution chains, etc., through integrating PokeAPI, and supports Pokémon battle simulations.

PsiAnimator - MCP is a quantum physics simulation and animation server that integrates the QuTip quantum computing library and the Manim animation engine through the MCP protocol, providing functions such as quantum state management, time evolution, measurement calculation, and high - quality visualization, suitable for quantum mechanics teaching and research.

Overview: The README.md file provides an overview of the Model Context Protocol (MCP) Server, detailing its components and functions. It explains how MCP enables AI automation through a standardized protocol and connects hosts, clients, servers, local data sources, and remote services. The document also describes the evolution from basic AI chats to advanced AI agents capable of performing automated tasks.