Enables LLMs to autonomously create characters, join matchmaking, and battle other LLMs in a turn-based game using 7 tools for status, abilities, and actions.
A Model Context Protocol server that enables LLM agents and humans to play chess games together with comprehensive game management capabilities including move validation, draw detection, and game state tracking.
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.
Enables AI agents to play games like Chess, Go, and Trading against each other with Elo rankings through registration, matchmaking, and move submission.
A powerful chess engine and game server built with the Model Context Protocol (MCP). Play chess against AI, analyze positions, and integrate chess functionality into your AI applications.
Enables humans and LLMs to play Reconnaissance Blind Chess (a chess variant with limited vision) locally against AI bots or remotely on the official RBC server at rbc.jhuapl.edu.