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Create NotebookLM notebooks, add sources, and ask grounded questions naturally.
Overall risk is low to moderate. It comes from an official registry, is open-source, recently maintained, and requires no extra credentials; the main considerations are standard MCP capabilities: local code execution and communication with the declared endpoint api.mcp.ai.
The materials state that no keys or environment variables are required. No API token, account password, or long-lived credential is requested, so the explicit credential leakage and abuse surface appears limited.
The tool connects to the declared remote endpoint api.mcp.ai. Based on the described features (creating notebooks, adding PDF/URL/YouTube sources, and querying them), user-provided content or queries are likely sent to that service. No undisclosed or unrelated exfiltration endpoint is evident from the materials.
The system checks indicate an executes-code capability, meaning the MCP component runs in the local process environment. This is a standard tool capability, but it still exposes a local execution surface and should ideally run in a constrained environment.
From the description, the tool can handle user-added sources such as PDFs, URLs, and YouTube content and answer questions about them. The materials do not specify broader local filesystem read/write scope, and no explicit overbroad authorization is stated. It should be assumed to access data that the user intentionally provides.
The source is an official registry entry, with public source code and updates within the last year, all of which reduce risk. However, current community adoption is low (0 stars), the license is not declared, and README information is absent, limiting audit transparency; this supports a caution rating rather than high risk.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "NotebookLM" MCP server from askskill: Run: claude mcp add --transport http 'io-github-mcp-dir-notebooklm-mcp' 'https://api.mcp.ai/p_notebooklm'
Create a notebook called "AI Industry Trends" in NotebookLM, add a PDF report, a web URL, and a YouTube video, then list the imported sources by type.
A created notebook with an organized source list grouped by PDF, web page, and video.
Using all sources in my NotebookLM notebook, answer: "What are the three most important AI trends in 2024?" and cite the source for each conclusion.
A concise trend summary with grounded conclusions and source-backed citations.
Turn the sources in this NotebookLM notebook into a study outline with three sections: core concepts, important examples, and questions for further research.
A structured study outline ready for review, writing, or deeper research.
Connect to Google NotebookLM to manage notebooks, add sources, ask questions, and generate audio overviews.
Automate NotebookLM to manage sources, answer 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.
Connect Google NotebookLM notebooks for source reading, retrieval, and Q&A.