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    • A
      license
      A
      quality
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      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
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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.
      1,206 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to query Google NotebookLM notebooks with citation-backed answers and to generate and download Studio artifacts such as audio overviews, video, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps. Supports source ingestion, multi-turn sessions with auto-reauth, and multi-account rotation for high-volume batch runs.
      1,206 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.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues