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    • A
      license
      A
      quality
      Not graded
      maintenance
      Enables interaction with Google's NotebookLM through natural language, allowing users to create and manage notebooks, add sources from URLs/YouTube/Google Drive, query AI for insights, generate audio podcasts and other studio content, and perform AI-powered research and analysis.
      32
      3
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables interaction with Google NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Google Drive, perform AI-powered research and analysis, generate audio podcasts, videos, infographics, and slide decks from notebook content.
      32
      MIT
    • A
      license
      A
      quality
      F
      maintenance
      Enables interaction with Google's NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Drive, perform AI-powered research and analysis, and generate audio overviews, videos, infographics, and slide decks from research content.
      32
      6
      MIT
    • A
      license
      B
      quality
      D
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      Enables Claude Code to interact with Jupyter notebooks, perform semantic search over knowledge files, and manage research projects.
      33
      4
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables agents like Claude Code, Cursor, and Codex to drive Google NotebookLM for citation-backed question answering and full Studio generation of audio, video, infographics, reports, presentations, data tables, flashcards, quizzes, and mind maps. Supports multi-account rotation with automatic re-authentication for high-volume batch runs across notebooks.
      4,865 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients such as Claude to drive the real Google NotebookLM/Gemini Notebook website using a free Google account, including listing and creating notebooks, adding sources, asking questions with citations, and generating Studio content such as audio overviews, slides, mind maps, quizzes, and reports.
      74 npm
      MIT

    TDQS

    C2.8/5.0

    Scored across 15 tools

    Disambiguation4/5

    Most tools target clearly distinct actions or artifact types, such as add_source_url vs add_source_text and the various generate_* artifact generators. However, get_notebook_summary and generate_summary_report both concern summarization/briefing and could be confused, and generate_data_table is somewhat close to report generation.

    Naming Consistency5/5

    All tool names use consistent snake_case with a clear verb_noun pattern: list_notebooks, create_notebook, add_source_url, generate_mind_map, ask_notebook, get_notebook_summary, etc. The convention is predictable throughout.

    Tool Count5/5

    15 tools is well-scoped for NotebookLM's feature set, covering notebook creation, source ingestion, querying, and the major generated artifact types. Each tool has a distinct role in the workflow.

    Completeness3/5

    The surface covers create/list notebooks, add sources, ask/summarize, and many generation tasks. But it lacks update/delete notebook operations, source listing/removal, and a get-single-notebook tool, leaving notable lifecycle and management gaps.