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Quizlar — voice-powered AI flashcards with spaced repetition

quizlar/mcp-server

Hooks Claude into Quizlar's spaced-repetition flashcard engine. You can generate decks from YouTube URLs, PDFs, web pages, or pasted text, then run auto-graded quizzes that update FSRS memory schedules in real time. The 22 tools map directly to learner actions: create_deck_from_youtube, start_quiz, submit_answer, get_progress, get_knowledge_gaps. Grading follows the same three-tier pipeline as Quizlar's voice product (exact match, then phonetic, then LLM fallback). Runs as a hosted service at mcp.quizlar.app with Bearer API key auth or full OAuth 2.1 if your client supports it. Reach for this when you want Claude to build study materials from arbitrary content and track retention over time, not just generate one-off Q&A pairs.

tools: 22
auth: Secret needed
transport: HTTP
last updated: Apr 30, 2026

Tools

22 tools

Public tool metadata for what this MCP can expose to an agent.

create_deck

No parameter schema in public metadata yet.

create_deck_from_text

No parameter schema in public metadata yet.

create_deck_from_youtube

No parameter schema in public metadata yet.

create_cards_batch

No parameter schema in public metadata yet.

get_job_status

No parameter schema in public metadata yet.

quiz_meComposite tool that builds a deck and starts a quiz in one call.

Composite tool that builds a deck and starts a quiz in one call.

No parameter schema in public metadata yet.

start_quiz

No parameter schema in public metadata yet.

submit_answer

No parameter schema in public metadata yet.

skip_question

No parameter schema in public metadata yet.

end_quiz

No parameter schema in public metadata yet.

list_decks

No parameter schema in public metadata yet.

get_deck

No parameter schema in public metadata yet.

list_cards

No parameter schema in public metadata yet.

search_decks

No parameter schema in public metadata yet.

search_cards

No parameter schema in public metadata yet.

list_sessions

No parameter schema in public metadata yet.

get_progress

No parameter schema in public metadata yet.

get_study_recommendations

No parameter schema in public metadata yet.

get_learning_velocity

No parameter schema in public metadata yet.

get_knowledge_gaps

No parameter schema in public metadata yet.

get_retention_curves

No parameter schema in public metadata yet.

get_card_difficulty_stats

No parameter schema in public metadata yet.

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Readme

Quizlar MCP Server

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

Quizlar's MCP server lets Claude, Cursor, Cline, Windsurf, or any MCP-compatible client:

Create flashcard decks from YouTube videos, PDFs, web pages, or pasted text
Run auto-graded quizzes with the same tier-1-exact-match → phonetic → LLM grading pipeline that powers the voice product
Track memory with FSRS spaced repetition — Quizlar is the scheduler of record, every answer updates real memory state

This repo is the public discovery surface (server.json for the Official MCP Registry + a stdio bundle for clients that need it). The hosted MCP server itself is closed-source and runs at https://mcp.quizlar.app — /mcp/ for OAuth-capable clients, /mcp-apikey/ for apiKey Bearer auth (used by every snippet in this README).

Listings

Official MCP Registry — io.github.quizlar/mcp-server v1.0.0
Smithery — https://smithery.ai/servers/quizlar/quizlar

Setup

Mint an API key at https://quizlar.app/settings/api-keys (format: sk-qz-<32 chars>).
Pick your client below and paste the snippet.

Cursor

View the full README on GitHub

Details

Repository: github.com/quizlar/mcp-server
Website: quizlar.app
Category: Media & Entertainment
Transport: HTTP
Auth: Required
Registry: MCP registry, active

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