Anki MCP Server
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Alternatives to Anki MCP Server
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Related Servers
- AlicenseAqualityBmaintenanceA Model Context Protocol server that enables LLMs to interact with Anki flashcard software through AnkiConnect, allowing for creation and management of flashcards, decks, and note types.1686 npm252MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that bridges Claude AI with Anki flashcard app, allowing users to create and manage flashcards using natural language commands.9MIT
- AlicenseNot gradedqualityCmaintenanceA Model Context Protocol server that allows LLMs to interact with Anki flashcard software, enabling functions like creating decks, adding notes, searching cards, and managing flashcard content through natural language.86 npm1MIT
- AlicenseBqualityCmaintenanceA Model Context Protocol server for managing Anki flashcards via AnkiConnect, enabling AI assistants to create, read, and update cards.813 npmMIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables interaction with Anki flashcards through AnkiConnect, providing organized tools for managing decks, notes, cards, models, and media files.407MIT
- AlicenseAqualityDmaintenanceMCP server for Anki via AnkiConnect, enabling creation, search, and management of flashcards directly from Claude Code or any MCP client.11MIT
TDQS
Scored across 11 tools
Each tool has a largely distinct purpose, but there is an entity inconsistency: create_card/update_card/search_cards operate on 'cards' while delete_notes operates on 'notes'—a distinction that matters in Anki (a note generates multiple cards) and could cause misselection. search_cards and get_cards_for_review are close but still distinguishable.
All 11 tools follow a clean verb_noun pattern (create_card, list_decks, get_deck_stats, get_model_fields, etc.) with consistent snake_case. No deviations or mixed conventions.
11 tools is well within the ideal 3-15 range and each earns its place across cards, decks, review, and model introspection. No bloat or redundancy.
Covers card lifecycle (create/search/update/review), deck management (list/create/stats), and model introspection, but there is no card-level delete (only delete_notes), no deck update/delete, and no note-level update, leaving minor gaps an agent must work around.