A
licenseA
qualityD
maintenanceA 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.
6
4
MIT
gambit
by mayazrakib
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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