Anki MCP Server
Related Servers
Alternatives to Anki MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceA server implementation that connects to a locally running Anki, enabling card review and creation through the Model Context Protocol.4184MIT
- 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
- 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.1676 npm253MIT
- AlicenseNot gradedqualityBmaintenanceEnables LLM agents to manage Anki cards headlessly via Model Context Protocol, including deck listing, card creation, editing, deletion, search, and media import. It runs 24/7 without Anki Desktop.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceA 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.76 npm1MIT
- AlicenseBqualityCmaintenanceA Model Context Protocol server for managing Anki flashcards via AnkiConnect, enabling AI assistants to create, read, and update cards.813 npmMIT
TDQS
Scored across 3 tools
The tools have overlapping purposes, as 'anki_add_note' and 'anki_add_notes' both handle adding flashcards, which could cause confusion for an agent deciding between single vs. batch operations. However, the descriptions clarify the distinction (single vs. multiple), mitigating some ambiguity. The 'anki_create_deck' tool is clearly distinct, focusing on deck management rather than note addition.
All tool names follow a consistent 'anki_' prefix and snake_case pattern (e.g., anki_add_note, anki_add_notes, anki_create_deck), with clear verb_noun structures. This predictability makes it easy for agents to understand and navigate the tool set without confusion from mixed conventions.
With only 3 tools, the server feels thin for managing Anki flashcards, a domain that typically involves operations like updating, deleting, reviewing, or searching notes and decks. The count is too low for the apparent scope, lacking essential CRUD lifecycle coverage beyond basic creation, which may limit agent functionality.
The tool set is severely incomplete for Anki management, covering only note addition and deck creation. Obvious gaps include updating or deleting notes/decks, listing or searching existing content, and handling reviews or scheduling—core aspects of flashcard workflows. This will likely cause agent failures when trying to perform common tasks beyond initial setup.