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Manage NotebookLM notebooks, sources, chats, and research with natural language.
This MCP tool is an open-source MIT project and the provided materials do not indicate separate API keys, with no clear high-risk red flags observed. However, its functionality clearly revolves around Google NotebookLM as a remote service, while documentation lacks detail on network endpoints, data flow, and local privilege scope, so cautious use is advisable.
The materials explicitly state that no keys or environment variables are required, and there is no indication that users must provide API keys, tokens, or other highly sensitive credentials. Based on the available materials, credential exposure appears limited.
The description says it exposes Google NotebookLM as MCP tools, which implies interaction with NotebookLM-related remote services, and user notebook, source, chat, or research content may leave the local machine. However, the materials do not disclose specific hosts or endpoints, leaving network data flow insufficiently transparent.
The system checks indicate this tool has executes-code capability, meaning it can run a local service process or execute code on the host. This is a standard MCP-tool capability, and the current materials do not show requests for system privileges beyond its stated function.
It claims to manage notebooks, sources, chat, artifacts, and research, which means it may handle a broad range of user content. However, the materials do not specify which local files, directories, or other resources it can read or write, so the data-access boundary remains unclear and should be verified during installation and configuration.
Positive factors are that it is open source under the MIT license and its source can be audited. However, it comes from a third-party registry, the repository has 0 stars, and maintenance status is unknown, so external trust signals and evidence of ongoing maintenance are limited; reviewing the source and dependency list first is advisable.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "NotebookLM MCP Server" yet — see the docs or source repo.
Please create a NotebookLM notebook about “generative AI market trends,” add the 3 articles I provide as sources, and generate a short research summary.
A notebook is created, sources are added, and a research summary is produced.
Based on the materials in this notebook, answer “What are the main risks and opportunities of this technology?” and list the key sources supporting the conclusion.
A source-grounded answer is returned with supporting references.
Please generate a structured blog post outline from the current NotebookLM notebook, including a title, section bullet points, and conclusion suggestions.
A ready-to-write article outline is produced.
Control Google NotebookLM end-to-end for research, notes, chat, and exports.
Manage NotebookLM notebooks, sources, chats, and generated artifacts through MCP.
Control Google NotebookLM with AI for notebooks, sources, and audio generation.
Connect to Google NotebookLM for source ingestion, querying, and audio summary generation.
Automate NotebookLM to manage sources, answer questions, and generate audio overviews.
Connect to NotebookLM via MCP for notebooks, sources, chat, and notes.