NotebookLM MCP Server
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- AlicenseBqualityAmaintenanceEnables AI assistants to programmatically interact with Google NotebookLM, allowing them to create and manage notebooks, add sources, query content, generate audio/video, and perform research tasks through natural language commands.4912,935 PyPI6,096MIT
- AlicenseBqualityBmaintenanceEnables AI assistants to programmatically access and manage Gemini Notebook (formerly Google NotebookLM), including creating notebooks, adding sources, querying content, generating studio content, downloading artifacts, and running batch or cross-notebook workflows through natural language.49MIT
- 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
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to manage Google NotebookLM notebooks, add sources from URLs, YouTube, Drive, or text, query and summarize content, and generate audio overviews, infographics, and slide decks through natural language.MIT
- AlicenseAqualityNot gradedmaintenanceEnables 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.323MIT
- AlicenseBqualityBmaintenanceEnables AI agents to interact with Google NotebookLM for grounded, hallucination-free answers through notebook management, source management, research, and generation tools.29528 npm34MIT
TDQS
Scored across 39 tools
Most tools target distinct resources and actions (notebook_*, source_*, studio_*, research_*), and the async query start/status split is clearly documented. Minor overlap exists between notebook_share_invite vs notebook_share_batch and between download_artifact vs export_artifact, but descriptions disambiguate them adequately.
A predictable resource_action snake_case pattern dominates (notebook_list, source_add, studio_create, research_start). The only deviations are the unified single-word action tools (note, tag, label, batch, pipeline) and prefix-less helpers (refresh_auth, server_info), which are still readable and consistent within themselves.
39 tools is heavy and near the upper bound, even for a feature-rich domain. Several consolidated multi-action tools (note, tag, label, batch, studio_create, source_add) reduce sprawl, but the surface still feels broad and could likely be trimmed further.
The surface covers the full lifecycle: notebook CRUD+describe, source add/get/sync/rename/delete/describe, note CRUD, studio create/status/revise/delete/download/export, sharing, research, tags, labels, and auth management. No obvious operational gaps remain for the domain.