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Quizlar — voice-powered AI flashcards with spaced repetition

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by quizlar · JavaScript

Voice-led, FSRS-scheduled flashcards from YouTube, PDFs, web, or text. Auto-graded quizzes.

Quizlar MCP Server (io.github.quizlar/mcp-server)

Quizlar’s MCP server provides voice-led flashcard creation and scheduled review using FSRS, sourcing content from YouTube, PDFs, web pages, or pasted text. It also supports auto-graded quizzes. The same tier-1 exact-match → phonetic → LLM grading pipeline used by Quizlar’s voice product is applied to quiz answers.

🛠️ Key Features

  • Create flashcard decks from YouTube, PDFs, web pages, or pasted text
  • Run auto-graded quizzes
  • Grade via tier-1 exact-match → phonetic → LLM pipeline
  • Schedule and track memory with FSRS spaced repetition
  • Scheduler of record updates real memory state on each answer

🚀 Use Cases

  • Turn study material (video, documents, webpages, or text) into flashcards
  • Practice with quizzes that are auto-graded
  • Maintain ongoing spaced repetition study using FSRS

⚡ Developer Benefits

  • Works with any MCP-compatible client (e.g., Claude, Cursor, Cline, Windsurf)
  • Consistent grading pipeline from the Quizlar voice product

⚠️ Limitations

  • Only details provided: voice-led content ingestion and FSRS-based scheduling; no other constraints are specified in the source data