$ loading_
Connect Google NotebookLM notebooks for source reading, retrieval, and Q&A.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "notebooklm-mcp-2026" yet — see the docs or source repo.
List all my NotebookLM notebooks, find the one named like “AI industry research,” read its source materials, and summarize the 5 most important conclusions with the corresponding source name for each.
A concise summary of the notebook’s key conclusions, with the source identified for each point.
Open the “Market Analysis Q1” notebook and answer this based on all its sources: What were the main growth drivers this quarter? Rank them by importance and support the answer with relevant source content.
A ranked, evidence-based answer describing the growth drivers with supporting source citations.
List all sources in the “Product Interview Notes” notebook, open the source whose title contains “Customer Interview - East China,” and extract the original quotes about user pain points plus a brief synthesis.
Relevant original quotes from the specified source, along with a brief synthesis of user pain points.
Control Google NotebookLM with AI for notebooks, sources, and audio generation.
Connect to Google NotebookLM for source ingestion, querying, and audio summary generation.
Manage NotebookLM notebooks, sources, chats, and generated artifacts through MCP.
Manage NotebookLM notebooks, sources, chats, and research with natural language.
Connect to NotebookLM via MCP for notebooks, sources, chat, and notes.
Connect AI agents to NotebookLM for querying, sourcing, and generating artifacts.