NotebookLM MCP Server (Security Hardened)
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- AlicenseNot gradedqualityCmaintenanceEnables 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
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to query Google NotebookLM directly for accurate, source-based answers, eliminating hallucinations by relying on user-uploaded documents.8 npm2MIT
- AlicenseBqualityBmaintenanceEnables AI agents to interact with Google NotebookLM for grounded, hallucination-free answers through notebook management, source management, research, and generation tools.29528 npm34MIT
- AlicenseAqualityCmaintenanceEnables AI agents to interact with Google NotebookLM, including listing and managing notebooks and sources, asking grounded questions with citations, and generating audio overviews, briefings, quizzes, and mind maps.13MIT
- AlicenseAqualityDmaintenanceEnables AI agents like Claude and Cursor to directly query Google's NotebookLM for zero-hallucination answers based on your uploaded documents, eliminating the need for manual copy-pasting and providing expert-level synthesized responses with source citations.164 npm8MIT
- FlicenseAqualityDmaintenanceEnables AI agents to query and interact with Google NotebookLM notebooks to retrieve citation-backed information. It provides tools for listing notebooks, accessing source data, and asking natural language questions.11-
TDQS
Scored across 31 tools
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.
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.
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.
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.