MemoryMesh is a knowledge graph server designed for AI models, focusing on text role - playing games and interactive narratives. It helps AI maintain consistent and structured memory in conversations through dynamic schema definition and automatic tool generation, enabling a richer and more dynamic interactive experience.

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 OP.GG MCP Server is a server that implements the Model Context Protocol, providing a standardized interface for AI agents to access OP.GG game data and supporting data query functions for multiple games such as League of Legends and Valorant.

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

An MCP server based on TypeScript that provides advanced dice rolling functionality for AI assistants, solving the problem that LLMs cannot truly roll dice randomly. It is suitable for scenarios such as tabletop games and RPGs that require real random numbers.

MCP Riot Server is a community-developed project that integrates the Riot Games API to provide natural language query services for League of Legends data to AI assistants.