A server that enables users to play chess against any LLM, with features for visualizing the board, making moves in standard notation, and analyzing positions from PGN files.
Enables AI assistants to play, analyze, and track chess games with full rule validation and support for standard algebraic notation. It provides tools for position evaluation and game state persistence during user sessions.
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.
MCP chess runtime that lets LLMs play, analyze, and adapt strength by exposing Stockfish, human move likelihood (Maia3), and Lichess statistics, with the LLM handling strategy and the server handling computation.