"Chess game information and resources" matching MCP servers:

Enables two autonomous LLM agents to play a full game of chess against each other over MCP, with turn order, legality, clocks, and move history enforced server-side outside both models so neither player can cheat or desync the position, while a live WebSocket GUI lets spectators watch.

Multi-dimensional chess analysis MCP server using Zero Divisor Transmission Protocol, evaluating positions across tactical, positional, and strategic layers with gateway convergence detection.

A hybrid AI chess coach MCP server that uses Stockfish for grounded evaluation and LLM for natural-language coaching, enabling game analysis, weakness diagnosis, and personalized drills from your own games.

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.

Manages the state of a chess game for LLMs/agents without suggesting moves, providing tools to create/reset game, add moves, get status, and check legality.

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 Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

Provides Chess.com player data integration, enabling AI assistants to fetch real-time chess player profiles and comprehensive statistics including ratings, game counts, and performance metrics from Chess.com's public API.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Enables chess position analysis, legal move investigation, move comparison, and PGN game reconstruction through MCP tools.

Multi-agent game development framework for Claude Code that lets you build games with an AI team including Lead, Engineer, Designer, Artist, QA, and Story Consultant.

An MCP bridge that provides an interface to UCI-compatible chess engines like Stockfish for analyzing positions and retrieving best moves. It enables users to interact with chess engines through commands for position management, engine information, and move calculation.

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 playing chess games with legal move validation and AI opponent moves powered by the Stockfish engine. Supports multiple concurrent games and provides moves in UCI format.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables local Stockfish-powered chess game analysis, mistake classification, puzzle finding and generation, and study-resource recommendations through MCP tools.

An MCP server that fetches and filters chess.com game data, returning compact summaries instead of massive JSON, enabling LLMs to answer questions about player performance and head-to-head records.

MCP server for running deterministic Godot game scenarios, listing available scenarios, running single or soak tests, and reading test reports.

Enables interaction with Chess.com's public API to retrieve player profiles and statistics including rating history and performance metrics for any Chess.com username.

A novel game server supporting multi-branch visual novel scenarios in English and Japanese, designed to help understand MCP Resources.