A
licenseNot graded
qualityB
maintenanceConnects AI assistants like Claude to MindDory to automatically capture new vocabulary and grammar mistakes into spaced-repetition flashcards during language practice conversations.
MIT
vocabit-mcp
by JohnBilousov
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TDQS
A4.4/5.0
Scored across 8 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: health check, CRUD for study sets, results feedback, and learner notification. Even get_study_set and get_set_results are unambiguously separated—one retrieves content, the other study metrics. No two tools appear to do the same thing.
Naming Consistency4/5
Most tools follow a verb_noun pattern (create_study_set, list_study_sets, update_study_set, delete_study_set, get_study_set, get_set_results). However, vocabit_health deviates from the verb-first style and notify_learner uses a non-set object, so the pattern is not perfectly uniform but remains predictable.
Tool Count5/5
8 tools is well within the ideal 3-15 range and each earns its place in the set lifecycle. The count matches the server's scope—managing study sets with health check and notification—without redundancy or unnecessary bulk.
Completeness5/5
The tool surface covers the full lifecycle: create, read, update, delete, list, plus results feedback and learner notification. The feedback loop is closed by get_set_results informing update_study_set. Health check aids debugging. No obvious gaps that would cause agent failures.
Maintenance
ActivityMaintained
ResponsivenessNo issues