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Related Servers

Alternatives to vocabit-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables an AI assistant to act as the memory of a personal English-learning app: read progress and words due for review, run short practice conversations, and store sentences, corrections, new words, rubric scores, and checked exercises back to the user's dashboard. Also lets the assistant grow the flashcard deck and adjust word familiarity, which reschedules spaced-repetition reviews.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to search the Inoh dictionary and create, update, or delete vocabulary flashcards in the user's Inoh account through natural language.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      A bridge that provides AI assistants with access to WaniKani user data and functionality, enabling them to retrieve learning progress, identify difficult items, and offer personalized Japanese language learning assistance.
      3
      -

    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

    ActivitySlowing
    ResponsivenessNo issues