NotebookLM MCP Server
Provides automation capabilities for Google's NotebookLM service, enabling AI agents to send chat messages, retrieve streaming responses, manage notebooks, upload documents, and interact with NotebookLM's AI features through persistent browser sessions.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@NotebookLM MCP Serversummarize the key points from my uploaded research paper"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
NotebookLM MCP
MCP server for Google NotebookLM — chat with your sources and manage notebooks/sources as MCP tools. Driven by an RPC backend (notebooklm-py), so there's no browser at runtime.
Setup
uv add notebooklm-mcp
uv run notebooklm login # one-time Google login (saves a session)
notebooklm-mcp init <notebook-url> # writes notebooklm-config.jsonRelated MCP server: NotebookLM MCP Server
Run
notebooklm-mcp -c notebooklm-config.json server # MCP server (stdio | http | sse)
notebooklm-mcp -c notebooklm-config.json chat -m "..." # quick chat from the CLITools (28)
Chat:
send_chat_message,get_chat_response,chat_with_notebook,navigate_to_notebook,get/set_default_notebook,healthcheckManage:
list/create/rename/delete_notebook,get_notebook_summary,list_sources,add_source_url/add_source_text/delete_sourceCompose:
copy_source,create_notebook_from_sources(merge sources across notebooks)Studio:
generate_audio_overview/list_audio_overviews,generate_video_overview/list_video_overviews,generate_mind_map/list_mind_maps/get_mind_mapShare:
get_share_status,set_notebook_public,share_notebook_with_user
MIT License
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