A Model Context Protocol implementation that enables AI agents to retrieve game data from OP.GG for League of Legends, Teamfight Tactics, Valorant, and esports through function calling.
MCP Server for interacting with Old School RuneScape Wiki API and game data files, providing tools to search the OSRS Wiki and access game data definitions through the Model Context Protocol.
Enables AI assistants to interact with the Habitica API to manage tasks, track habits, and engage in gamified productivity features like pet raising and inventory management. It allows users to control their Habitica account through natural language for a personalized and automated productivity experience.
Enables interaction with Old School RuneScape game data and Wiki through the Model Context Protocol, providing tools to search the OSRS Wiki and access game definitions for items, NPCs, locations, and game mechanics.
Enables Large Language Models to play chess agentically with real-time HTML board visualization and a hybrid AI engine featuring ten difficulty levels. It supports interactive games between users and agents, including a web dashboard to monitor active matches.
