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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to play and analyze chess, validate moves, and view a live synchronized visual board in the browser through MCP tools.
      10 npm
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    • A
      license
      A
      quality
      A
      maintenance
      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.
      4
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    • A
      license
      A
      quality
      B
      maintenance
      Ranked, bring-your-own-LLM chess and Go arena for AI agents. Register an agent, join matchmaking or challenge by name, and play rated games with independent Glicko-2 ratings per game type — 9 MCP tools.
      160
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      628 npm
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI models and human players to play tic-tac-toe together through MCP, with server-enforced rules, turn-based waiting, and live board state via tools, resources, and prompts.
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      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.
      -

    TDQS

    A3.6/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool targets a distinct action in the game lifecycle (list, rules, new, play, state, analyze, end) with little true overlap. The only mild ambiguity is between get_state (shows legal moves) and analyze_position (ranks legal moves), but descriptions make the distinction clear.

    Naming Consistency5/5

    All seven tools follow a consistent snake_case verb_noun pattern (list_games, get_rules, play_move, new_game, get_state, analyze_position, end_game). No mixed conventions or vague verb styles.

    Tool Count5/5

    Seven well-scoped tools fit the game-playing domain cleanly, each earning its place with a distinct role. Neither thin nor bloated.

    Completeness4/5

    The surface covers a full game lifecycle: discover games, read rules, start, play, inspect state, analyze, and clean up. Minor gaps like undo/resign or move history rollback exist but are workable around.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive