Anki MCP Server
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Alternatives to Anki MCP Server
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Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables comprehensive management of Anki decks and notes through the Model Context Protocol, including bulk operations and note type customization. It features integrated high-quality audio generation for flashcards using ElevenLabs and Google Cloud Text-to-Speech APIs.1-
- 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
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with Anki through the Model Context Protocol, allowing natural language creation, editing, and review of flashcards, deck management, and media handling.1,774 npmMIT
- AlicenseCqualityBmaintenanceServer that enables programmatic interaction with Anki through the Model Context Protocol, allowing users to manage flashcards, decks, and review processes.39 npm39MIT
- AlicenseBqualityCmaintenanceA Model Context Protocol server for managing Anki flashcards via AnkiConnect, enabling AI assistants to create, read, and update cards.813 npmMIT
- 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
TDQS
Scored across 14 tools
Most tools have distinct purposes, such as create_deck_with_note_type for deck creation and generate_audio for audio generation, but there is some overlap between generate_audio and generate_and_save_audio, which could cause confusion as both handle audio generation with similar names. The descriptions help clarify that generate_audio returns base64 data while generate_and_save_audio saves to media, but the naming similarity might lead to misselection.
Tool names follow a consistent verb_noun pattern throughout, such as create_deck_with_note_type, list_decks, update_note, and get_deck_notes, with no deviations in style or convention. This predictability makes it easy for agents to understand and use the tools without confusion from mixed naming schemes.
With 14 tools, the server is well-scoped for managing Anki decks and notes, covering operations like creation, retrieval, updating, and audio handling. Each tool serves a clear purpose, such as bulk operations for efficiency and specific functions like audio generation, making the count appropriate without being excessive or insufficient.
The tool surface provides comprehensive coverage for Anki management, including CRUD operations for decks and notes, bulk handling, and audio integration. Minor gaps exist, such as no direct tools for deleting decks or notes, but agents can work around this by using update or other methods, and core workflows are well-supported.