Japanese Vocab Anki MCP Server

What is Japanese Vocab Anki MCP Server?

A Model Context Protocol server that enables Language Models to interact with Anki decks programmatically, with dedicated support for Japanese language learning. It allows listing, viewing, adding, and reviewing cards, importing Japanese vocabulary, and adding sample sentences.

How to use Japanese Vocab Anki MCP Server?

Clone the repository, optionally set the ANKI_COLLECTION_PATH environment variable to your collection.anki2 file, and run python -m anki_mcp.server. Ensure Anki is not running to avoid database locks.

Key features of Japanese Vocab Anki MCP Server

• List and view available Anki decks
• Add new cards to any deck
• Review cards with spaced repetition ease
• Import Japanese vocabulary from CSV
• Add sample sentences to vocabulary notes
• Track review history and learning progress

Use cases of Japanese Vocab Anki MCP Server

• Generate fill-in-the-blank exercises using recently reviewed Japanese vocabulary
• Convert sentences into structured JSON and update Anki cards
• Add example sentences to vocabulary cards for contextual learning
• Analyze review history to adjust study habits
• Script batch imports of Japanese vocabulary decks

FAQ from Japanese Vocab Anki MCP Server

What note type is required for Japanese vocabulary?

The server expects a note type named "Japanese (recognition)" with fields: Expression, Meaning, and Reading (for furigana and sample sentences).

How do I avoid database conflicts?

Ensure Anki is not running before starting the server to prevent database locks.

Can I point the server to a specific Anki collection?

Yes, set the ANKI_COLLECTION_PATH environment variable to the full path of your collection.anki2 file.

What tools are available for card management?

The server provides add_card, review_card, get_card_history, import_japanese_vocab, update_notes_with_sentences, and get_deck_review_history.

What prompts does the server include?

Four prompts: create_deck_prompt, review_history_prompt, study_japanese_vocab_prompt, and vocab_sentences_json_prompt.