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NotebookLM MCP Server (Security Hardened)

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    • A
      license
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      quality
      B
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      Enables AI agents to drive Google NotebookLM notebooks as a deep-research workspace: ingesting local PDFs and YouTube videos, cross-checking sources for contradictions, identifying knowledge gaps, generating audio overviews, and exporting Markdown dossiers with BibTeX and APA bibliographies. It operates over the Model Context Protocol inside Google Antigravity IDE, with browser-session authentication handled automatically.
      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.
      2,962 npm
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    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants and agents to connect directly to Google NotebookLM through its high-performance internal RPC calls. Provides grounded RAG chat with citations, notebook and source management (URLs, YouTube, Drive files, text), Audio Overview generation and download, persistent session handling, and automated Deep Research.
      38
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    TDQS

    A3.8/5.0

    Scored across 31 tools

    Disambiguation3/5

    The tool set has clear distinct purposes for core operations like notebook management (add_notebook, create_notebook, list_notebooks) and media generation (generate_audio_overview, generate_video_overview), but there is significant overlap between tools like ask_question, get_notebook_chat_history, and get_query_history, which all involve querying or retrieving chat data, potentially causing confusion. Additionally, cleanup_data and re_auth both handle authentication/session cleanup with overlapping functions.

    Naming Consistency5/5

    Tool names follow a highly consistent verb_noun pattern throughout, such as add_notebook, create_notebook, list_notebooks, generate_audio_overview, get_health, and sync_library. All tools use snake_case without deviation, making them predictable and easy to parse for agents.

    Tool Count2/5

    With 31 tools, the count is excessive for the server's purpose of managing NotebookLM notebooks and media. Many tools could be consolidated (e.g., multiple chat history tools, overlapping cleanup/auth tools), leading to a bloated interface that may overwhelm agents and increase misselection risk.

    Completeness4/5

    The tool surface provides comprehensive coverage for NotebookLM operations, including CRUD for notebooks and sources, media generation (audio, video, data tables), session management, authentication, and library syncing. Minor gaps exist, such as no direct tool for editing source content or managing sharing settings, but agents can work around these with existing tools.

    Maintenance

    ActivitySlowing
    ResponsivenessWithin a week