MCP NotebookLM

Deep research and analysis via NotebookLM MCP (lazy-loaded via ToolSearch).

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ToolSearch: +notebooklm

MCP Tools

| Task | Tool | |------|------| | Create notebook | mcp__notebooklm__add_notebook | | Select notebook | mcp__notebooklm__select_notebook | | Get details | mcp__notebooklm__get_notebook | | Ask question | mcp__notebooklm__ask_question | | List notebooks | mcp__notebooklm__list_notebooks | | Search notebooks | mcp__notebooklm__search_notebooks | | Update sources | mcp__notebooklm__update_notebook | | Remove notebook | mcp__notebooklm__remove_notebook | | Cleanup data | mcp__notebooklm__cleanup_data | | Health check | mcp__notebooklm__get_health | | Session mgmt | list_sessions, close_session, reset_session | | Auth | mcp__notebooklm__setup_auth, mcp__notebooklm__re_auth |

Standard Workflow

1. Create or Reuse Notebook

list_notebooks -> check for existing match
add_notebook(title="Topic Name", sources=[url1, url2, ...])

Sources: YouTube URLs (https://youtube.com/watch?v=...), web URLs, or raw text. Up to 50 per notebook.

2. Extract Insights

Ask specific, focused questions:

ask_question("What are the key themes across these sources?")
ask_question("What topics get the most engagement and why?")
ask_question("What content gaps exist that aren't covered?")
ask_question("What are the main takeaways for someone new to this?")

3. Request Deliverables (if needed)

Use ask_question with clear requests:

Audio overview: "Generate an audio overview / podcast summary"
Infographic: "Create an infographic of key findings"
Mind map: "Create a mind map of main concepts"
Study guide: "Create a study guide with key concepts and questions"
FAQ: "Generate a FAQ based on these sources"
Briefing doc: "Create a briefing document of the most important points"

Visual deliverables (infographic, mind map) can take 5-15 minutes.

4. Synthesize and Return

Summarize analysis clearly. Include any links or content NotebookLM returned.

Best Practices

One notebook per research topic -- keeps analysis focused
Diverse sources -- mix video, text, docs for balanced perspective
Specific questions -- "What pricing strategies do top channels use?" beats "Tell me about the videos"
Search before creating -- reuse existing notebooks when possible
Clean up -- use cleanup_data to remove stale notebooks periodically

Auth Issues

If NotebookLM returns auth errors:

Try mcp__notebooklm__re_auth first
If that fails, mcp__notebooklm__setup_auth for fresh setup
Check mcp__notebooklm__get_health for service status