Runs a local MCP server inside Anki so Claude or other LLM clients can create, search, edit, move and study your cards conversationally, plus analyze retention.
Alternatives to Laverna Anki Addon
AnkiWeb addon 1504755463
AI answer
Answers are generated by Claude from the catalog data and may contain mistakes.
Similar addons (found without AI)
Runs a local bridge pairing an Apple Watch app via IP address and six-digit code to send review answers, undo, bury, suspend, and view review state over Wi-Fi.
Automates Anki’s built-in self-hosted sync server, enabling fast desktop and mobile synchronization over local Wi-Fi with minimal setup, plus optional remote access and server settings.
Turns Anki into a markdown notebook where you write papers, organize them in folders, and generate Basic, reversible, and cloze cards from plain-text lines.
Acts as the local Anki-side helper for a browser extension, finding and unsuspending cards and building filtered Incorrects and Marked review decks while keeping all data local.
Displays a review-screen overlay comparing your Again/Hard/Good/Easy ratings with anonymous community averages for mapped decks, while uploading limited anonymized card and rating data.
Provides fast, offline speech-to-text dictation for Anki, with spoken formatting commands and customizable voice macros for card creation and app control.
Reads PDFs inside Anki, links flashcards to their exact source page, and uses Gemini AI to generate cloze cards and explanations.
Renders LilyPond sheet music from [lilypond] tags or lilypond-named fields, supports customizable templates, and auto-generates image fields for mobile/web display.
Collects learning-process metadata locally, disables server uploads, and displays word-cloud and review statistics via the Tools menu for cards reviewed after download.
Removes the requirement to sync the whole collection when changing a note type, though users must still sync all devices before and after to avoid data loss.
Automatically fills French flashcard fields—translations, grammar, gender, plurals, pronunciation, and Google TTS audio—using an offline lexical database and two custom note types.