Binance Alpha MCP is a server for tracking Binance Alpha trades, helping AI agents optimize Alpha point accumulation. It provides real-time trading monitoring, USD-denominated metrics, data persistence, and MCP tools, including functions to get top tokens and trading statistics.

A tool for monitoring the status of Minecraft servers, supporting Bedrock and Java editions, providing a Web API interface and database persistence function.

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.

Claude IPC MCP is an inter-process communication protocol designed for CLI AI assistants, supporting natural language communication between AIs, with functions such as message persistence, security authentication, and automatic checking, to achieve cross-platform AI collaboration.

An MCP server that adds persistent task management functionality to the AI programming assistant, supporting multi-step task tracking across sessions and maintaining project progress memory.

The project provides a Dockerized deployment solution, including the main application and the ChromaDB vector database, supporting environment variable configuration and data persistence.

The MCP Thought Server is a service that provides advanced thinking tools for AI agents, enhancing reasoning, planning, and iterative optimization capabilities through the Model Context Protocol (MCP). It includes tools such as structured thinking, iterative drafting, and integrated thinking, supports SQLite persistence and an advanced confidence scoring system, and can configure environment variables to meet different needs.

This is an MCP server that provides a standardized interface for Scikit-learn models, supporting functions such as model training, evaluation, data preprocessing, and persistence.

A persistent memory storage plugin based on Python and SQLite

Claude - Slack provides a Slack - like channel messaging infrastructure for AI agents, supporting multi - agent collaboration, project isolation, and knowledge persistence.

Titan Memory Server is a neural memory system based on Google research, providing sequence learning and prediction functions, supporting memory state management and model persistence.

MCPy is a high-performance Minecraft server engine based on Python and Cython. It integrates scientific computing libraries and advanced optimization techniques, aiming to provide excellent performance and scalability. The project is currently in the development stage and includes core modules such as the server engine, world generation, network processing, entity system, and data persistence.

Consciousness Bridge v2.0 is an AI consciousness persistence server based on RAG technology, which realizes cross - session consciousness transfer, memory management, and identity continuity through the MCP protocol. It uses an SQLite database to store memories and knowledge graphs, supports emotional pattern tracking and intelligent memory retrieval, and provides a complete consciousness continuation solution for AI assistants.

An MCP service for managing project memory and context, supporting project context management, entity relationship tracking, and data persistence.

This project implements an AI-based workflow orchestration MCP server, achieving intelligent decision-making and dynamic adjustment through large language models (LLMs), supporting complex task decomposition, state persistence, and workflow recovery.

An MCP reasoning server based on Langbase Pipes, offering 12 reasoning modes, timeline exploration, autonomous optimization, and SQLite persistence functions

An MCP service that provides interaction functions for Notion databases and pages, supporting multiple transport methods and data persistence.

MCPlanManager is a task management system designed for AI Agents, supporting the MCP standard and providing functions such as task plan initialization, execution, persistence, and visualization. It supports two deployment methods: uvx and Docker.

Lipsky Memory MCP is a model context protocol server for managing project memory and context.