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Glama

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Alternatives to gambit

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to perform professional-grade chess analysis using Stockfish and optionally Leela Chess Zero, including position analysis, full game review, opening lookup, and puzzle generation.
      15 npm
      2
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      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.
      13
      274 npm
      AGPL 3.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables comprehensive chess analysis through Stockfish engine integration, positional evaluation, puzzle training, game review, and access to extensive chess databases. Provides visual board rendering, interactive game viewers, and tactical puzzle training with 3+ million problems from Lichess.
      31
      AGPL 3.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      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.
      13 npm
      1
      ISC

    TDQS

    C2.7/5.0

    Scored across 58 tools

    Disambiguation2/5

    Many tools overlap heavily: analyze_position, evaluate_position, analyze_positions, inspect_position, and explain_position all inspect or evaluate a FEN, while analyze_game, review_game, start_analysis_job, and get_analysis all analyze entire games. Move assessment is similarly fragmented across evaluate_move, compare_candidate_moves, tutor_move, assess_candidate_move, and submit_teaching_move. Descriptions attempt to differentiate, but the agent must read carefully to avoid picking the wrong tool.

    Naming Consistency4/5

    All tool names use snake_case and mostly follow a verb_noun pattern (e.g., create_game_lessons, get_opening_plans, start_progressive_analysis). Minor deviations exist, such as 'inspect_position' vs 'analyze_position' and 'tutor_move' vs 'evaluate_move', but the overall convention is predictable and readable.

    Tool Count1/5

    With 58 tools, the set is far beyond a reasonable scope, and many tools duplicate functionality (e.g., multiple analysis and evaluation endpoints). The domain is broad (engine analysis, openings, repertoire, tutoring, speech, tablebases), but the sheer number creates a heavy, confusing surface that is not well-scoped.

    Completeness4/5

    The surface covers a wide range of chess analysis and teaching workflows: engine evaluation, game review, openings, repertoire drills, tactics, tablebases, speech synthesis, and learner progress. Minor gaps include no deletion or update for some entities (e.g., no delete_repertoire, no update_game_lesson), but the core lifecycle operations are present.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues