The agent retrieves your spaced-repetition due cards, presents them for review, and records your performance (again/hard/good/easy) to update your learning streak and schedule future reviews.
First, the agent calls get_due_cards to identify which flashcards are currently due for review based on the spaced-repetition algorithm. It then presents the card content to the user. After the user indicates their recall confidence, the agent calls record_review with the appropriate rating (again, hard, good, or easy). This updates the card's metadata and the user's overall learning stats.
- Category: Productivity and planning
- Effect: Changes data in your accounts
- MCP servers: Acornonaut MCP (https://koskamo.com/explore/acornonaut-mcp)
- Source: MCP Setup Guide - Connect Acornonaut to Claude Desktop | Acornonaut · Acornonaut (https://acornonaut.app/docs/mcp)
- Source quote: "get_due_cards Get cards due for spaced-repetition review record_review Submit a review result (again/hard/good/easy)"
- Playbook page: https://koskamo.com/explore/use-cases/review-due-flashcards-and-log-results
Prompt: Check what flashcards are due for review today. Show me the first one, and then record that I found it 'hard'.