NotebookLM MCP
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Alternatives to NotebookLM MCP
- 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.5310,563 PyPI6,444MIT
Related Servers
- AlicenseAqualityDmaintenanceEnables AI assistants to programmatically access and control Google NotebookLM, supporting operations like notebook management, source addition, audio generation, and more via natural language.39MIT
- AlicenseAqualityDmaintenanceConnects AI coding agents to Google NotebookLM, enabling querying notebooks, adding sources, and generating artifacts like reports, podcasts, and slide decks.141MIT
- 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
- 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
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to query and manage private Google NotebookLM notebooks with grounded citations, source and note operations, and secure credential containment.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables interaction with Google NotebookLM to create notebooks, add sources (PDF, URL, YouTube), and ask questions with citations.1MIT
TDQS
Scored across 27 tools
The tools divide cleanly by domain and action: notebook CRUD, source ingestion/retrieval, Studio artifact generation, research, query, and auth. Parallel families like the seven *_create Studio tools are distinguished by artifact type in the name and description, so an agent can select correctly.
All names use snake_case and a consistent domain-first, action-second pattern (notebook_list, source_add_url, report_create, research_start). Occasional extra qualifiers such as source_get_content and auth_save_tokens remain predictable.
27 tools is heavy: the Studio suite could consolidate seven near-identical *_create tools into one parameterised tool, and source ingestion could be unified. However each tool maps to a distinct capability, so the count is borderline rather than arbitrary.
Core notebooks, sources, Studio artifacts, research, query, and auth workflows are covered. Gaps include deleting or updating Studio artifacts and refreshing non-Drive URL sources, but agents can work around these.