Anki MCP
Related Servers
Alternatives to Anki MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceAn MCP server that enables AI assistants to seamlessly manage Anki flashcards, decks, and templates through the AnkiConnect API. It supports intelligent querying, batch note creation, and detailed study progress analysis using natural language.4MIT
- AlicenseNot gradedqualityAmaintenanceAn MCP server that enables AI assistants to interact with the Anki flashcard application for studying, deck management, and note creation. It supports natural language interaction for reviewing cards, searching content, and managing media files across local and remote environments.1,761 npm492MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol (MCP) server that integrates with Anki flashcard application, allowing LLM applications like Claude to interact with your Anki decks and cards.111,144 npm1MIT
- AlicenseAqualityBmaintenanceAn MCP server that enables AI assistants like Claude to interact with Anki flashcard decks, allowing users to create, manage, and update flashcards through natural language conversations.944MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI clients to create spaced-repetition flashcards from material being learned, quiz users aloud, grade answers, and schedule reviews using the FSRS algorithm through a self-hosted MCP server.2AGPL 3.0
- FlicenseCqualityDmaintenanceEnables large language models like Claude to automatically generate flashcards and sync them with Anki decks via a Dockerized MCP server using the AnkiConnect add-on.2-
TDQS
Scored across 7 tools
The tools have distinct purposes targeting different aspects of Anki functionality: operations, analytics, media, decks, flashcards, models, and study sessions. There is some potential overlap between 'anki_operations' and the more specific 'manage_' tools, but the separation is generally clear enough for an agent to distinguish them based on their names.
The naming is mixed: 'anki_operations', 'get_analytics', and 'get_media_file' follow a verb_noun pattern, while 'manage_decks', 'manage_flashcards', and 'manage_models' use a verb_noun pattern with a consistent 'manage_' prefix, and 'study_session' is a noun_noun pattern. This inconsistency in conventions reduces predictability but remains readable.
With 7 tools, the count is well-scoped for an Anki server, covering core areas like decks, flashcards, models, study sessions, analytics, media, and general operations. Each tool appears to earn its place without being excessive or insufficient for the domain.
The tool set covers key areas of Anki (decks, flashcards, models, study, analytics, media, operations), but without descriptions, it's unclear if there are gaps in CRUD/lifecycle coverage. For example, 'manage_flashcards' might imply create/update/delete, but specific tools for individual operations are missing, potentially leading to agent workarounds.