Lurna
Turn any topic into study-ready materials directly from ChatGPT. Lurna helps you generate interactive flashcard decks you can flip through in chat, plus structured Markdown study notes in a clean reader view. Review key concepts faster, then export decks and notes to app.lurna.co to keep learning with spaced repetition — making serious review a native part of your AI-study workflow. You can use Lurna app to: 1. Exam prep — flashcards from a lecture topic Use case: Turn a subject you’re studying into an interactive flashcard deck you can review in chat, then export to Lurna for spaced repetition. Example prompt: “Create flashcards for my biology midterm on photosynthesis — cover the light reactions, Calvin cycle, and how ATP and NADPH are used. About 15 cards, exam-level.” 2. Deep-dive study notes from a conversation Use case: After discussing a complex topic with AI, turn the explanation into structured, readable study notes with headings, tables, and summaries Example prompt: “Write study notes on the causes and consequences of the 2008 financial crisis. Include key terms, a timeline, and a short summary I can review before class.” 3. Learn from uploaded materials — notes + flashcards Use case: Upload readings, slides, or your own notes and convert them into study materials without reformatting by hand. Example prompt: “Here are my uploaded lecture notes on CRISPR Cas9. First generate study notes, then create a flashcard set covering the most testable concepts.” 4. Quick review before an interview or certification Use case: Rapidly build recall-focused flashcards for technical interviews, certifications, or vocabulary. Example prompt: “Generate flashcards to help me prep for a AWS Solutions Architect interview — focus on S3, IAM, VPC, and common architecture tradeoffs.”
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https://www.lurna.co/https://mcp.lurna.co/mcpLast probed Nov 3, 2026 · mcp.lurna.co
2tools discovered
Create Flashcards
Build an interactive flashcard deck from AI-generated Q&A pairs and open it in Lurna to study.
Generate Study Notes
Create formatted Markdown study notes with an A4 reader UI and export them to Lurna.
Schemas and invoke metadata: Directory API
Get your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
Directory coverage for brandsTurn any topic into study-ready materials directly from ChatGPT. Lurna helps you generate interactive flashcard decks you can flip through in chat, plus structured Markdown study notes in a clean reader view. Review key concepts faster, then export decks and notes to app.lurna.co to keep learning with spaced repetition — making serious review a native part of your AI-study workflow. You can use Lurna app to: 1. Exam prep — flashcards from a lecture topic Use case: Turn a subject you’re studying into an interactive flashcard deck you can review in chat, then export to Lurna for spaced repetition. Example prompt: “Create flashcards for my biology midterm on photosynthesis — cover the light reactions, Calvin cycle, and how ATP and NADPH are used. About 15 cards, exam-level.” 2. Deep-dive study notes from a conversation Use case: After discussing a complex topic with AI, turn the explanation into structured, readable study notes with headings, tables, and summaries Example prompt: “Write study notes on the causes and consequences of the 2008 financial crisis. Include key terms, a timeline, and a short summary I can review before class.” 3. Learn from uploaded materials — notes + flashcards Use case: Upload readings, slides, or your own notes and convert them into study materials without reformatting by hand. Example prompt: “Here are my uploaded lecture notes on CRISPR Cas9. First generate study notes, then create a flashcard set covering the most testable concepts.” 4. Quick review before an interview or certification Use case: Rapidly build recall-focused flashcards for technical interviews, certifications, or vocabulary. Example prompt: “Generate flashcards to help me prep for a AWS Solutions Architect interview — focus on S3, IAM, VPC, and common architecture tradeoffs.”
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