notebooklm-mcp
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Alternatives to notebooklm-mcp
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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
- 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 gradedqualityCmaintenanceEnables 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
- AlicenseAqualityDmaintenanceEnables 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 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.32MIT
TDQS
Scored across 55 tools
Several tools have overlapping or hard-to-distinguish retrieval/organization purposes: notebook_query, source_search, cross_notebook_query, batch query, and research_start all relate to finding or asking about content. Vague unified tools like alias, tag, note, pipeline, label, report, batch, and profile require action parameters and add ambiguity, while profile/active_profile/profiles are especially easy to confuse.
Most resource-specific tools use a readable noun_verb pattern (notebook_create, source_add, studio_status), but many unified tools are bare nouns or vague action containers (alias, tag, note, pipeline, label, report, batch, profile). The mix of noun_verb, verb_noun, and single-word names is understandable but not predictable.
With 55 tools, the surface is far too large for a coherent MCP server. Many variants and unified action tools could be consolidated into fewer, better-scoped tools.
Coverage is broad: notebooks, sources, chat, studio artifacts, research, collections, tags, labels, sharing, auth, batch operations, and usage are all represented. Minor lifecycle gaps remain, such as limited collection retrieval or source content update, but the core NotebookLM workflows are well covered.