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anki-librarian-mcp

anki-librarian-mcp

by gcabralcavalcanti
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.6/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool targets a distinct action and resource: read tools (list_decks, find_notes, get_notes), propose tools for different mutations (add notes, add cloze, update, create deck, delete, set due date, flag), and plan lifecycle tools (list_plans, apply_plan, reject_plan). find_notes (search excerpts) vs get_notes (full fields) are clearly separated, and the propose_* tools differ by object and operation.

    Naming Consistency4/5

    Strong, predictable verb_noun pattern throughout, with a consistent propose_* prefix for dry runs and matching apply_plan/reject_plan lifecycle verbs. Minor deviations like singular vs plural (propose_update_note vs propose_add_notes) keep it just short of perfect.

    Tool Count5/5

    13 tools is well-scoped for the Anki domain. The propose/apply split is intentional and each tool earns its place by covering a specific mutation or query without redundancy.

    Completeness4/5

    Covers a full lifecycle: deck/note discovery, note and cloze creation, updates, deletion, scheduling, flagging, and plan management. Minor gaps like moving notes between decks or deleting decks are absent but not blocking for core workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources