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Quizlar MCP Server

@quizlar

基本信息

分类

其他

传输方式

stdio

认证方式

oauth

作者

quizlar

提交者

Sangura Sitati

关于 Quizlar MCP Server

Quizlar is the learning MCP server. It turns whatever source the user brings — a YouTube lecture, a PDF, a URL, a textbook passage, or a pasted block of notes — into flashcards, then runs

Quizlar MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "quizlar": {
      "url": "https://mcp.quizlar.app/mcp/",
      "headers": {
        "Authorization": "Bearer sk-qz-YOUR_API_KEY"
      }
    }
  }
}

Quizlar MCP Server 工具

4

** `create_deck_from_youtube`, `create_deck_from_pdf`, `create_deck_from_url`, `create_deck_from_text`, `import_shared_deck`, `get_job_status`

** `quiz_me` (composite: build + start in one call), `start_quiz`, `next_card`, `submit_answer`, `end_quiz`

** `get_study_recommendations`, `get_progress`, `get_streak`, `get_analytics`

** `list_decks`, `get_deck`, `update_deck`, `delete_deck`, `add_card`, `update_card`, `get_user_profile`, `update_preferences`

概览

What is Quizlar?

Quizlar is a voice-led flashcard and quiz MCP server that uses FSRS spaced repetition to schedule memory reviews. It lets Claude, Cursor, Cline, Windsurf, or any MCP-compatible client create decks from YouTube videos, PDFs, web pages, or pasted text, and run auto-graded quizzes with a tiered grading pipeline (exact-match → phonetic → LLM). It’s ideal for learners and educators who want AI-powered, memory‑optimized study sessions.

How to use Quizlar?

Mint an API key at https://quizlar.app/settings/api-keys (format: sk-qz‑<32 chars>). Then configure your MCP client’s mcpServers to point to https://mcp.quizlar.app/mcp/ with Bearer token authentication. Cursor, Windsurf, Claude Desktop, Cline, and Smithery setup snippets are provided in the README. Windsurf supports Streamable HTTP natively; other clients use mcp-remote as a stdio wrapper.

Key features of Quizlar

  • Create flashcard decks from YouTube, PDFs, URLs, or text.
  • Auto‑graded quizzes with exact‑match → phonetic → LLM grading.
  • FSRS spaced repetition tracks real memory state per answer.
  • 22 tools mapped 1:1 to learner verbs (ingest, quiz, review, manage).
  • Bearer API key and OAuth 2.1 with PKCE authentication.
  • Hosted server at mcp.quizlar.app (closed‑source; config repo is MIT).

Use cases of Quizlar

  • Study YouTube lectures by turning them into spaced‑repetition flashcard decks.
  • Extract key concepts from PDF textbooks and quiz yourself automatically.
  • Review web articles with auto‑graded quizzes that adapt to your memory.
  • Import shared decks and collaboratively track progress with FSRS.
  • Integrate memory‑aware quizzes into AI‑assisted learning workflows.

常见问题

1

What is the difference between the hosted server and this repo?

This repo is a public configuration and discovery surface (including a stdio bundle for Smithery). The hosted MCP server itself is closed‑source and runs at `https://mcp.quizlar.app/mcp/`.

2

What runtime or dependencies does Quizlar require?

No runtime installation is needed for servers that support Streamable HTTP (e.g., Windsurf). Other clients require `npx` to run the `mcp-remote` stdio wrapper. An API key from `quizlar.app` is mandatory.

3

Where does my study data live?

Data is stored in the Quizlar app and managed through its API. The hosted MCP server is the scheduler of record — every answer updates real memory state.

4

How do I authenticate with Quizlar?

Use a Bearer API key (`sk-qz‑<32 chars>`) in the `Authorization` header. Quizlar also supports full OAuth 2.1 with Dynamic Client Registration + PKCE for clients that prefer a browser flow.

5

What transport does Quizlar use?

The server uses Streamable HTTP by default. For stdio‑only clients (e.g., Smithery), a stdio bundle is available in the `bundle/` directory and published via the `mcp-remote` wrapper.

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