Frequently Asked Questions (FAQ) - Japanese Vocab Anki MCP Server

Q: What is an MCP Server? A: MCP stands for Model Context Protocol. An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools. In this case, the Anki MCP Server allows AI models to interact with Anki decks programmatically.

Q: What is UBOS? A: UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

Q: What are the benefits of using the Japanese Vocab Anki MCP Server? A: The server allows for automated flashcard creation, personalized learning experiences, enhanced vocabulary retention through spaced repetition, and integration with AI-powered tutoring systems.

Q: What Japanese note type is required? A: The server expects a note type called “Japanese (recognition)” with the following fields: Expression (Japanese word), Meaning (English meaning), and Reading (with furigana and sample sentences).

Q: How do I install the Japanese Vocab Anki MCP Server? A: Clone the repository from GitHub, and optionally set the path to your Anki collection, then run the server using the provided Python command.

Q: Can I use this server with other language models besides Claude? A: Yes, the MCP protocol ensures seamless integration with a wide range of language models.

Q: Where can I find a list of available Anki decks? A: Use the anki://decks resource to list all available Anki decks.

Q: How can I view cards reviewed in the last 24 hours? A: Use the anki://recent/reviewed resource to view recently reviewed cards.

Q: What tools are available for managing cards? A: Available tools include add_card for adding new cards, review_card for reviewing cards, and get_card_history for reviewing card history.

Q: What prompts are available for interacting with language models? A: Available prompts include create_deck_prompt, review_history_prompt, study_japanese_vocab_prompt, and vocab_sentences_json_prompt.