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Let AI manage NotebookLM notebooks, sources, queries, and research workflows.
This MCP tool is open source under the MIT License and does not declare any separate API key requirement, with no clear high-risk red flags in the provided materials. However, its purpose is to interact with Google NotebookLM, which likely involves sending user-provided content to a third-party service, and its adoption and maintenance signals are weak, so cautious use is recommended.
The materials state that no keys or environment variables are required, but functionality targeting Google NotebookLM would typically rely on an existing Google account session or another undocumented authentication method. The documentation does not explain how credentials are obtained, stored, or isolated, so credential handling is opaque, though there is no explicit evidence of credential exfiltration or abuse.
Although no remote endpoint is listed in the metadata, the description explicitly says it can interact with Google NotebookLM, create notebooks, add sources, and query content, indicating that user-submitted text, source links, or research content will likely be sent to Google-related services. This egress is consistent with the stated functionality and is a normal third-party service connection, but the exact endpoints and transmission scope are not disclosed.
The system checks indicate that this tool has code-execution capability; as an MCP tool, it would typically run a local process and respond to assistant calls. The provided materials do not show requests for unusual system privileges or arbitrary shell execution, so this is rated as caution due to inherent tool capability rather than high risk.
Per the description, it can create and manage NotebookLM notebooks, add sources, and query content, so it will at least handle user-provided research materials, notebook content, or links. The materials do not specify whether it reads local files, which directories it can access, or whether it retains caches or logs, so the data-access boundary is unclear, but there is no explicit sign of overbroad authorization.
Positive factors are that the project is open source, the repository is visible, and it uses the MIT License, which improves auditability and lowers risk. However, it comes from a third-party registry, has 0 stars, unknown maintenance status, and no README, so its supply-chain maturity and verifiability are weak. Overall, this is best rated as caution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "notebooklm-mcp" yet — see the docs or source repo.
Create a NotebookLM notebook called “Generative AI Market Research,” add these 5 web pages and 2 PDFs as sources, and organize them by topic automatically.
A completed research notebook with imported sources and a clear topic-based organization.
Read my “Competitive Analysis” notebook in NotebookLM, identify each competitor’s key value proposition, pricing differences, and target users, and summarize them in a table.
A structured answer grounded in the notebook sources plus a tabular summary.
Using the content in my “Machine Learning Basics” NotebookLM notebook, create a 5-minute audio script and an outline for a short educational video.
A ready-to-use narration script and a sectioned outline suitable for video production.
Control Google NotebookLM to manage notebooks, add sources, and generate audio.
Automate NotebookLM to manage sources, answer questions, and generate audio overviews.
Connect to Google NotebookLM to manage notebooks, add sources, ask questions, and generate audio overviews.
Connect to Google NotebookLM for source ingestion, querying, and audio summary generation.
Connect Google NotebookLM for research, source analysis, and content generation workflows.
Connect AI agents to NotebookLM for querying, sourcing, and generating artifacts.