NotebookLM CLI & MCP Expert

This skill provides comprehensive guidance for using NotebookLM via both the

nlm

CLI and MCP tools.

Tool Detection (CRITICAL - Read First!)

ALWAYS check which tools are available before proceeding:

Check for MCP tools

Look for tools starting with

mcp__notebooklm-mcp__*

or

mcp_notebooklm_*

If BOTH MCP tools AND CLI are available

:

ASK the user

which they prefer to use before proceeding

If only MCP tools are available

Use them directly (refer to tool docstrings for parameters)
If only CLI is available: Use nlm CLI commands via Bash Decision Logic: has_mcp_tools = check_available_tools() # Look for mcp__notebooklm-mcp__ or mcp_notebooklm_ has_cli = check_bash_available() # Can run nlm commands if has_mcp_tools and has_cli:

ASK USER: "I can use either MCP tools or the nlm CLI. Which do you prefer?"

user_preference = ask_user() else if has_mcp_tools:

Use MCP tools directly

mcp__notebooklm-mcp__notebook_list() else:

Use CLI via Bash

bash("nlm notebook list") This skill documents BOTH approaches. Choose the appropriate one based on tool availability and user preference . Quick Reference Run nlm --ai to get comprehensive AI-optimized documentation - this provides a complete view of all CLI capabilities. nlm --help

List all commands

nlm < command

--help

Help for specific command

nlm --ai

Full AI-optimized documentation (RECOMMENDED)

nlm --version

Check installed version

Critical Rules (Read First!)

Always authenticate first

Run

nlm login

before any operations

Sessions expire in ~20 minutes

Re-run

nlm login

if commands start failing

⚠️ ALWAYS ASK USER BEFORE DELETE

Before executing ANY delete command, ask the user for explicit confirmation. Deletions are

irreversible

. Show what will be deleted and warn about permanent data loss.

--confirm

is REQUIRED

All generation and delete commands need

--confirm

or

-y

(CLI) or

confirm=True

(MCP)

Research requires

--notebook-id

The flag is mandatory, not positional

Capture IDs from output

Create/start commands return IDs needed for subsequent operations

Use aliases

Simplify long UUIDs with

nlm alias set

Check aliases before creating

Run

nlm alias list

before creating a new alias to avoid conflicts with existing names.

DO NOT launch REPL

Never use

nlm chat start

- it opens an interactive REPL that AI tools cannot control. Use

nlm notebook query

for one-shot Q&A instead.

Choose output format wisely

Default output (no flags) is compact and token-efficient—use it for status checks. Use
--quiet
to capture IDs for piping. Only use
--json
when you need to parse specific fields programmatically.
Use
--help
when unsure: Run nlm --help to see available options and flags for any command. Workflow Decision Tree Use this to determine the right sequence of commands: User wants to... │ ├─► Work with NotebookLM for the first time │ └─► nlm login → nlm notebook create "Title" │ ├─► Add content to a notebook │ ├─► From a URL/webpage → nlm source add --url "https://..." │ ├─► From YouTube → nlm source add --url "https://youtube.com/..." │ ├─► From pasted text → nlm source add --text "content" --title "Title" │ ├─► From Google Drive → nlm source add --drive --type doc │ └─► Discover new sources → nlm research start "query" --notebook-id │ ├─► Generate content from sources │ ├─► Podcast/Audio → nlm audio create --confirm │ ├─► Written summary → nlm report create --confirm │ ├─► Study materials → nlm quiz/flashcards create --confirm │ ├─► Visual content → nlm mindmap/slides/infographic create --confirm │ ├─► Video → nlm video create --confirm │ └─► Extract data → nlm data-table create "description" --confirm │ ├─► Ask questions about sources │ └─► nlm notebook query "question" │ (Use --conversation-id for follow-ups) │ ⚠️ Do NOT use nlm chat start - it's a REPL for humans only │ ├─► Check generation status │ └─► nlm studio status │ └─► Manage/cleanup ├─► List notebooks → nlm notebook list ├─► List sources → nlm source list ├─► Delete source → nlm source delete --confirm └─► Delete notebook → nlm notebook delete --confirm Command Categories 1. Authentication MCP Authentication If using MCP tools and encountering authentication errors:

Run the CLI authentication (works for both CLI and MCP)

nlm login

Then reload tokens in MCP

mcp__notebooklm-mcp__refresh_auth ( ) Or manually save cookies via MCP (fallback):

Extract cookies from Chrome DevTools and save

mcp__notebooklm

mcp__save_auth_tokens ( cookies = "" )

CLI Authentication

```bash

nlm login # Launch browser, extract cookies (primary method)

nlm login --check # Validate current session

nlm login --profile work # Use named profile for multiple accounts

nlm login --provider openclaw --cdp-url http://127.0.0.1:18800 # External CDP provider

nlm login switch # Switch the default profile

nlm login profile list # List all profiles with email addresses

nlm login profile delete # Delete a profile

nlm login profile rename # Rename a profile

Multi-Profile Support

Each profile gets its own isolated browser session (supports Chrome, Arc, Brave, Edge, Chromium, and more), so you can be logged into multiple Google accounts simultaneously.

Session lifetime

~20 minutes. Re-authenticate when commands fail with auth errors.

Switching MCP Accounts

The MCP server always uses the active default profile. If you need to switch which Google account the MCP server is communicating with, you MUST use the CLI: run
nlm login switch
. Your next MCP tool call will instantly use the new account.
Note: Both MCP and CLI share the same authentication backend, so authenticating with one works for both. 2. Notebook Management MCP Tools Use tools: notebook_list , notebook_create , notebook_get , notebook_describe , notebook_query , notebook_rename , notebook_delete . All accept notebook_id parameter. Delete requires confirm=True . CLI Commands nlm notebook list

List all notebooks

nlm notebook list --json

JSON output for parsing

nlm notebook list --quiet

IDs only (for scripting)

nlm notebook create "Title"

Create notebook, returns ID

nlm notebook get < id

Get notebook details

nlm notebook describe < id

AI-generated summary + suggested topics

nlm notebook query < id

"question"

One-shot Q&A with sources

nlm notebook rename < id

"New Title"

Rename notebook

nlm notebook delete < id

--confirm

PERMANENT deletion

Source Management MCP Tools Use source_add with these source_type values: url
Web page or YouTube URL ( url param) text
Pasted content ( text + title params) file
Local file upload ( file_path param) drive
Google Drive doc ( document_id + doc_type params) Other tools: source_list_drive , source_describe , source_get_content , source_rename , source_sync_drive (requires confirm=True ), source_delete (requires confirm=True ). CLI Commands

Adding sources

nlm source add < nb-id

--url "https://..."

Web page

nlm source add < nb-id

--url "https://youtube.com/..."

YouTube video

nlm source add < nb-id

--text "content" --title "X"

Pasted text

nlm source add < nb-id

--drive < doc-id

Drive doc (auto-detect type)

nlm source add < nb-id

--drive < doc-id

--type slides

Explicit type

Listing and viewing

nlm source list < nb-id

Table of sources

nlm source list < nb-id

--drive

Show Drive sources with freshness

nlm source list < nb-id

--drive -S

Skip freshness checks (faster)

nlm source get < source-id

Source metadata

nlm source describe < source-id

AI summary + keywords

nlm source content < source-id

Raw text content

nlm source content < source-id

-o file.txt

Export to file

Drive sync (for stale sources)

nlm source stale < nb-id

List outdated Drive sources

nlm source sync < nb-id

--confirm

Sync all stale sources

nlm source sync < nb-id

--source-ids < ids

--confirm

Sync specific

Rename

nlm source rename < source-id

"New Title" --notebook < nb-id

nlm rename source < source-id

"New Title" --notebook < nb-id

verb-first

Deletion

nlm source delete < source-id

--confirm Drive types : doc , slides , sheets , pdf 4. Research (Source Discovery) Research finds NEW sources from the web or Google Drive. MCP Tools Use research_start with: source : web or drive mode : fast (~30s) or deep (~5min, web only) Workflow: research_start → poll research_status → research_import CLI Commands

Start research (--notebook-id is REQUIRED)

nlm research start "query" --notebook-id < id

Fast web (~30s)

nlm research start "query" --notebook-id < id

--mode deep

Deep web (~5min)

nlm research start "query" --notebook-id < id

--source drive

Drive search

Check progress

nlm research status < nb-id

Poll until done (5min max)

nlm research status < nb-id

--max-wait 0

Single check, no waiting

nlm research status < nb-id

--task-id < tid

Check specific task

nlm research status < nb-id

--full

Full details

Import discovered sources

nlm research import < nb-id

< task-id

Import all

nlm research import < nb-id

< task-id

--indices 0,2 ,5

Import specific

Modes

:

fast

(~30s, ~10 sources) |

deep

(~5min, ~40+ sources, web only)

5. Content Generation (Studio)

MCP Tools (Unified Creation)

Use

studio_create

with

artifact_type

and type-specific options. All require

confirm=True

.

artifact_type

Key Options

audio

audio_format

deep_dive/brief/critique/debate,

audio_length

short/default/long

video

video_format

explainer/brief,

visual_style

auto_select/classic/whiteboard/kawaii/anime/watercolor/retro_print/heritage/paper_craft

report

report_format

Briefing Doc/Study Guide/Blog Post/Create Your Own,

custom_prompt

quiz

question_count

,

difficulty

easy/medium/hard

flashcards

difficulty

easy/medium/hard

mind_map

title

slide_deck

slide_format

detailed_deck/presenter_slides,

slide_length

short/default

infographic

orientation

landscape/portrait/square,

detail_level

concise/standard/detailed,

infographic_style

auto_select/sketch_note/professional/bento_grid/editorial/instructional/bricks/clay/anime/kawaii/scientific

data_table

description

(REQUIRED)

Common options

:

source_ids

,

language

(BCP-47 code),

focus_prompt

Revise Slides:

Use

studio_revise

to revise individual slides in an existing slide deck.

Requires

artifact_id

(from

studio_status

) and

slide_instructions

Creates a NEW artifact — the original is not modified

Slide numbers are 1-based (slide 1 = first slide)

Poll

studio_status

after calling to check when the new deck is ready

CLI Commands

All generation commands share these flags:

--confirm

or

-y

:

REQUIRED

to execute

--source-ids

Limit to specific sources
--language: BCP-47 code (en, es, fr, de, ja)


Audio (Podcast)
nlm audio create
<
id

--confirm
nlm audio create
<
id
--format
deep_dive
--length
default
--confirm
nlm audio create
<
id
--format
brief
--focus
"key topic"
--confirm

Formats: deep_dive, brief, critique, debate
Lengths: short, default, long
Report
nlm report create
<
id

--confirm
nlm report create
<
id
--format
"Study Guide"
--confirm
nlm report create
<
id
--format
"Create Your Own"
--prompt
"Custom..."
--confirm

Formats: "Briefing Doc", "Study Guide", "Blog Post", "Create Your Own"
Quiz
nlm quiz create
<
id

--confirm
nlm quiz create
<
id
--count
5
--difficulty
3
--confirm
nlm quiz create
<
id
--count
10
--difficulty
3
--focus
"Focus on key concepts"
--confirm

Count: number of questions (default: 2)
Difficulty: 1-5 (1=easy, 5=hard)
Focus: optional text to guide quiz generation
Flashcards
nlm flashcards create
<
id

--confirm
nlm flashcards create
<
id
--difficulty
hard
--confirm
nlm flashcards create
<
id
--difficulty
medium
--focus
"Focus on definitions"
--confirm

Difficulty: easy, medium, hard
Focus: optional text to guide flashcard generation
Mind Map
nlm mindmap create
<
id

--confirm
nlm mindmap create
<
id
--title
"Topic Overview"
--confirm
nlm mindmap list
<
id


List existing mind maps
Slides
nlm slides create
<
id

--confirm
nlm slides create
<
id
--format
presenter
--length
short
--confirm

Formats: detailed, presenter | Lengths: short, default
nlm slides revise
<
artifact-id

--slide
'1 Make the title larger'
--confirm

Creates a NEW deck with revisions. Original unchanged.
Infographic
nlm infographic create
<
id

--confirm
nlm infographic create
<
id
--orientation
portrait
--detail
detailed
--style
professional
--confirm

Orientations: landscape, portrait, square
Detail: concise, standard, detailed
Styles: auto_select, sketch_note, professional, bento_grid, editorial, instructional, bricks, clay, anime, kawaii, scientific
Video
nlm video create
<
id

--confirm
nlm video create
<
id
--format
brief
--style
whiteboard
--confirm

Formats: explainer, brief
Styles: auto_select, classic, whiteboard, kawaii, anime, watercolor, retro_print, heritage, paper_craft
Data Table
nlm data-table create
<
id

"Extract all dates and events"
--confirm

DESCRIPTION is required as second argument



Studio (Artifact Management)
MCP Tools
Use
studio_status
to check progress (or rename with
action="rename"
). Use
download_artifact
with
artifact_type
and
output_path
. Use
export_artifact
with
export_type
docs/sheets. Delete with
studio_delete
(requires
confirm=True
).
CLI Commands



Check status
nlm studio status
<
nb-id

List all artifacts
nlm studio status
<
nb-id

--full

Show full details (including custom prompts)
nlm studio status
<
nb-id

--json

JSON output
Download artifacts
nlm download audio
<
nb-id

--output
podcast.mp3
nlm download video
<
nb-id
--output
video.mp4
nlm download report
<
nb-id
--output
report.md
nlm download slide-deck
<
nb-id
--output
slides.pdf

PDF (default)
nlm download slide-deck
<
nb-id

--output
slides.pptx
--format
pptx

PPTX
nlm download quiz
<
nb-id

--output
quiz.json
--format
json

Export to Google Docs/Sheets
nlm
export
sheets
<
nb-id

<
artifact-id
--title
"My Data Table"
nlm
export
docs
<
nb-id
<
artifact-id
--title
"My Report"

Delete artifact

nlm studio delete
<
nb-id
>
<
artifact-id
>
--confirm
Status values
:
completed
(✓),
in_progress
(●),
failed
(✗)
Prompt Extraction
The
studio_status
tool returns a
custom_instructions
field for each artifact. This contains the original focus prompt or custom instructions used to generate that artifact (e.g., the prompt for a "Create Your Own" report, or the focus topic for an Audio Overview). This is useful for retrieving the exact prompt that generated a successful artifact.
Renaming Resources
Rename a Source
MCP Tool:
source_rename(notebook_id, source_id, new_title)
CLI:
nlm
source
rename
<
source-id
"New Title"
--notebook
<
notebook-id
nlm
rename
source
<
source-id
"New Title"
--notebook
<
notebook-id




verb-first
Rename a Studio Artifact
MCP Tools
Use
studio_status
with
action="rename"
,
artifact_id
, and
new_title
.
CLI Commands
nlm studio
rename
<
artifact-id

"New Title"
nlm
rename
studio
<
artifact-id
"New Title"

verb-first alternative
Server Info (Version Check)
MCP Tools
Use
server_info
to get version and check for updates:
mcp__notebooklm
-
mcp__server_info
(
)
Returns: version, latest_version, update_available, update_command
CLI Commands
nlm
--version
Shows version and update availability



Chat Configuration and Notes
MCP Tools
Use
chat_configure
with
goal


default/learning_guide/custom. Use
note
with
action
create/list/update/delete. Delete requires
confirm=True
.
CLI Commands
⚠️
AI TOOLS: DO NOT USE
nlm chat start




It launches an interactive REPL that cannot be controlled programmatically. Use
nlm notebook query
for one-shot Q&A instead.
For human users at a terminal:
nlm chat start
<
nb-id


Launch interactive REPL
REPL Commands
:
/sources
- List available sources
/clear
- Reset conversation context
/help
- Show commands
/exit
- Exit REPL
Configure chat behavior
(works for both REPL and query):
nlm chat configure
<
id

--goal
default
nlm chat configure
<
id
--goal
learning_guide
nlm chat configure
<
id
--goal
custom
--prompt
"Act as a tutor..."
nlm chat configure
<
id
--response-length longer

longer, default, shorter

Notes management
:
nlm note create
<
nb-id
>
"Content"
--title
"Title"
nlm note list
<
nb-id
>
nlm note update
<
nb-id
>
<
note-id
>
--content
"New content"
nlm note delete
<
nb-id
>
<
note-id
>
--confirm
8. Notebook Sharing
MCP Tools
Use
notebook_share_status
to check,
notebook_share_public
to enable/disable public link,
notebook_share_invite
with
email
and
role
viewer/editor.
CLI Commands

Check sharing status
nlm share status
<
nb-id

Enable/disable public link
nlm share public
<
nb-id

Enable
nlm share public
<
nb-id

--off

Disable
Invite collaborator
nlm share invite
<
nb-id

user@example.com
nlm share invite
<
nb-id
user@example.com
--role
editor
9. Aliases (UUID Shortcuts)
Simplify long UUIDs:
nlm
alias
set
myproject abc123-def456
..
.

Create alias (auto-detects type)
nlm
alias
get myproject
Resolve to UUID
nlm
alias
list
List all aliases
nlm
alias
delete myproject
Remove alias
Use aliases anywhere
nlm notebook get myproject
nlm
source
list myproject
nlm audio create myproject
--confirm
10. Configuration
CLI-only commands for managing settings:
nlm config show
Show current config
nlm config get
<
key

Get specific setting
nlm config
set
<
key

<
value


Update setting
nlm config
set
output.format json
Change default output
For switching profiles, prefer the simpler command:
nlm login switch work
Switch default profile
Available Settings:
Key
Default
Description
output.format
table
Default output format (table, json)
output.color
true
Enable colored output
output.short_ids
true
Show shortened IDs
auth.browser
auto
Preferred browser for login (auto, chrome, arc, brave, edge, chromium, vivaldi, opera)
auth.default_profile
default
Profile to use when
--profile
not specified
11. Skill Management
Manage the NotebookLM skill installation for various AI assistants:
nlm skill list
Show installation status
nlm skill update
Update all outdated skills
nlm skill update
<
tool

Update specific skill (e.g., claude-code)
nlm skill
install
<
tool

Install skill
nlm skill uninstall
<
tool

Uninstall skill
Verb-first aliases
:
nlm update skill
,
nlm list skills
,
nlm install skill
Output Formats
Most list commands support multiple formats:
Flag
Description
(none)
Rich table (human-readable)
--json
JSON output (for parsing)
--quiet
IDs only (for piping)
--title
"ID: Title" format
--url
"ID: URL" format (sources only)
--full
All columns/details
12. Batch Operations
Perform the same action across multiple notebooks at once.
MCP Tools
Use
batch
with
action
parameter. Select notebooks by
notebook_names
,
tags
, or
all=True
.
batch
(
action
=
"query"
,
query
=
"What are the key findings?"
,
notebook_names
=
"AI Research, Dev Tools"
)
batch
(
action
=
"add_source"
,
source_url
=
"https://example.com"
,
tags
=
"ai,research"
)
batch
(
action
=
"create"
,
titles
=
"Project A, Project B, Project C"
)
batch
(
action
=
"delete"
,
notebook_names
=
"Old Project"
,
confirm
=
True
)
batch
(
action
=
"studio"
,
artifact_type
=
"audio"
,
tags
=
"research"
,
confirm
=
True
)
CLI Commands
nlm batch query
"What are the key takeaways?"
--notebooks
"id1,id2"
nlm batch query
"Summarize"
--tags
"ai,research"
Query by tag
nlm batch query
"Summarize"
--all
Query ALL notebooks
nlm batch add-source
--url
"https://..."
--notebooks
"id1,id2"
nlm batch create
"Project A, Project B, Project C"
Create multiple
nlm batch delete
--notebooks
"id1,id2"
--confirm
Delete multiple
nlm batch studio
--type
audio
--tags
"research"
--confirm
Generate across notebooks

Cross-Notebook Query
Query multiple notebooks and get
aggregated answers with per-notebook citations
.
MCP Tools
cross_notebook_query
(
query
=
"Compare approaches"
,
notebook_names
=
"Notebook A, Notebook B"
)
cross_notebook_query
(
query
=
"Summarize"
,
tags
=
"ai,research"
)
cross_notebook_query
(
query
=
"Everything"
,
all
=
True
)
CLI Commands
nlm cross query
"What features are discussed?"
--notebooks
"id1,id2"
nlm cross query
"Compare approaches"
--tags
"ai,research"
nlm cross query
"Summarize everything"
--all
Pipelines
Define and execute multi-step notebook workflows. Three built-in pipelines plus support for custom YAML pipelines.
MCP Tools
pipeline
(
action
=
"list"
)

List available pipelines
pipeline
(
action
=
"run"
,
notebook_id
=
"..."
,
pipeline_name
=
"ingest-and-podcast"
,
input_url
=
"https://..."
)
CLI Commands
nlm pipeline list
List available pipelines
nlm pipeline run
<
notebook

ingest-and-podcast
--url
"https://..."
nlm pipeline run
<
notebook
research-and-report
--url
"https://..."
nlm pipeline run
<
notebook
multi-format

Audio + report + flashcards
Built-in pipelines:
ingest-and-podcast
,
research-and-report
,
multi-format
Create custom pipelines: add YAML files to
~/.notebooklm-mcp-cli/pipelines/
15. Tags & Smart Select
Tag notebooks for organization and use tags to target batch operations.
MCP Tools
tag
(
action
=
"add"
,
notebook_id
=
"..."
,
tags
=
"ai,research,llm"
)
tag
(
action
=
"remove"
,
notebook_id
=
"..."
,
tags
=
"ai"
)
tag
(
action
=
"list"
)
List all tagged notebooks
tag
(
action
=
"select"
,
query
=
"ai research"
)
Find notebooks by tag match
CLI Commands
nlm tag
add
<
notebook

--tags
"ai,research,llm"

Add tags
nlm tag
add
<
notebook

--tags
"ai"
--title
"My Notebook"

With display title
nlm tag remove
<
notebook

--tags
"ai"

Remove tags
nlm tag list
List all tagged notebooks
nlm tag
select
"ai research"
Find notebooks by tag match
Common Patterns
Pattern 1: Research → Podcast Pipeline
nlm notebook create
"AI Research 2026"
Capture ID
nlm
alias
set
ai
<
notebook-id

nlm research start
"agentic AI trends"
--notebook-id ai
--mode
deep
nlm research status ai --max-wait
300

Wait up to 5 min
nlm research
import
ai
<
task-id

Import all sources
nlm audio create ai
--format
deep_dive
--confirm
nlm studio status ai
Check generation progress
Pattern 2: Quick Content Ingestion
nlm
source
add
<
id

--url
"https://example1.com"
nlm
source
add
<
id
--url
"https://example2.com"
nlm
source
add
<
id
--text
"My notes..."
--title
"Notes"
nlm
source
list
<
id
Pattern 3: Study Materials Generation
nlm report create
<
id
--format
"Study Guide"
--confirm
nlm quiz create
<
id
--count
10
--difficulty
3
--focus
"Exam prep"
--confirm
nlm flashcards create
<
id
--difficulty
medium
--focus
"Core terms"
--confirm
Pattern 4: Drive Document Workflow
nlm
source
add
<
id
--drive
1KQH3eW0hMBp7WK
..
.
--type
slides

... time passes, document is edited ...
nlm
source
stale
<
id

Check freshness
nlm
source
sync
<
id

--confirm

Sync if stale
Pattern 5: Batch & Cross-Notebook Workflow
Tag notebooks for organization
nlm tag
add
<
id
1

--tags
"ai,research"
nlm tag
add
<
id
2
--tags
"ai,product"

Query across tagged notebooks
nlm cross query
"What are the main conclusions?"
--tags
"ai"
Batch generate podcasts for all tagged notebooks
nlm batch studio
--type
audio
--tags
"ai"
--confirm
Run a pipeline on a single notebook

nlm pipeline run
<
id
>
ingest-and-podcast
--url
"https://example.com"
Error Recovery
Error
Cause
Solution
"Cookies have expired"
Session timeout
nlm login
"authentication may have expired"
Session timeout
nlm login
"Notebook not found"
Invalid ID
nlm notebook list
"Source not found"
Invalid ID
nlm source list 
"Rate limit exceeded"
Too many calls
Wait 30s, retry
"Research already in progress"
Pending research
Use
--force
or import first
Browser doesn't launch
Port conflict
Close browser, retry
Rate Limiting
Wait between operations to avoid rate limits:
Source operations: 2 seconds
Content generation: 5 seconds
Research operations: 2 seconds
Query operations: 2 seconds
Advanced Reference
For detailed information, see:
references/command_reference.md


Complete command signatures
references/troubleshooting.md


Detailed error handling
references/workflows.md
End-to-end task sequences

安装

ASK USER: "I can use either MCP tools or the nlm CLI. Which do you prefer?"

Use MCP tools directly

Use CLI via Bash

List all commands

Help for specific command

Full AI-optimized documentation (RECOMMENDED)

Check installed version

Run the CLI authentication (works for both CLI and MCP)

Then reload tokens in MCP

Extract cookies from Chrome DevTools and save

mcp__notebooklm

CLI Authentication

List all notebooks

JSON output for parsing

IDs only (for scripting)

Create notebook, returns ID

Get notebook details

AI-generated summary + suggested topics

One-shot Q&A with sources

Rename notebook

PERMANENT deletion

Adding sources

Web page

YouTube video

Pasted text

Drive doc (auto-detect type)

Explicit type

Listing and viewing

Table of sources

Show Drive sources with freshness

Skip freshness checks (faster)

Source metadata

AI summary + keywords

Raw text content

Export to file

Drive sync (for stale sources)

List outdated Drive sources

Sync all stale sources

Sync specific

Rename

verb-first

Deletion

Start research (--notebook-id is REQUIRED)

Fast web (~30s)

Deep web (~5min)

Drive search

Check progress

Poll until done (5min max)

Single check, no waiting

Check specific task

Full details

Import discovered sources

Import all

Import specific

Audio (Podcast)

Formats: deep_dive, brief, critique, debate

Lengths: short, default, long

Report

Formats: "Briefing Doc", "Study Guide", "Blog Post", "Create Your Own"

Quiz

Count: number of questions (default: 2)

Difficulty: 1-5 (1=easy, 5=hard)

Focus: optional text to guide quiz generation

Flashcards

Difficulty: easy, medium, hard

Focus: optional text to guide flashcard generation

Mind Map

List existing mind maps

Slides

Formats: detailed, presenter | Lengths: short, default

Creates a NEW deck with revisions. Original unchanged.

Infographic

Orientations: landscape, portrait, square

Detail: concise, standard, detailed

Styles: auto_select, sketch_note, professional, bento_grid, editorial, instructional, bricks, clay, anime, kawaii, scientific

Video

Formats: explainer, brief

Styles: auto_select, classic, whiteboard, kawaii, anime, watercolor, retro_print, heritage, paper_craft

Data Table