chess-arbiter
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- -licenseNot gradedqualityNot gradedmaintenanceA 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.-
- AlicenseAqualityBmaintenanceMCP 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.1321 npmAGPL 3.0
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to play and analyze chess, validate moves, and view a live synchronized visual board in the browser through MCP tools.17 npmMIT
- FlicenseNot gradedqualityDmaintenanceMCP server allowing two agents to play chess or Connect Four against each other, with a live rendered board and emotion signaling.-
- AlicenseNot gradedqualityDmaintenanceA 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.17 npm1ISC
- AlicenseNot gradedqualityCmaintenanceEnables playing chess against an AI agent or pitting two agents against each other on a live web board, with a built-in rules engine that enforces legal moves, turn order and complete FIDE rules so agents cannot hallucinate or cheat. Includes human-vs-agent play, agent-vs-agent spectator mode with optional Stockfish evaluation, and PGN game review.MIT
TDQS
Scored across 11 tools
Several tools report overlapping state: get_board already includes clocks, material, check, and move history, which are also provided by get_status, get_evaluation, and get_move_history. While descriptions clarify primary intent, an agent could reasonably choose between them for similar information, causing mild ambiguity.
All tools follow a consistent snake_case verb_noun pattern (get_board, make_move, offer_draw, etc.), with no deviations. The convention is predictable and easy to parse.
11 tools is well within the 3–15 sweet spot and each covers a distinct lifecycle action (join, move, query, draw, resign). No obvious bloat, though some query tools overlap.
Core chess game actions are covered (join, move, legal moves, status, history, resign, draw offer/accept/claim, evaluation). Missing an explicit draw decline and game creation/listing, but these are minor for an arbiter.