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v2.0.0 — multilingual rewrite, async audio, MCP-spec descriptions
v2.0.0 unblocks v1.x and closes the full issue backlog. The selector / extraction / browser-lifecycle stack is rewritten end-to-end so the server stops breaking every time NotebookLM ships a UI tweak.
🔥 What this fixes
ask_questionworks again. v1.x has been timing out since NotebookLM removeddiv.thinking-message. v2 replaces the selector-gated wait with streaming-stability detection — an answer is final when the extracted text is identical across N consecutive 750 ms polls. (closes #43)- No more 100 % CPU loops. New
src/browser/watchdog.ts: bounded poll counts, Node-side sleep fallback, periodicpage.evaluate(() => true)health check. Wedged renderers surface a clear error instead of pegging a core. (closes #16) - No more orphan Chrome processes. SIGTERM → 5 s → SIGKILL chain at shutdown. (closes #29)
- Browser launches on macOS Tahoe and Windows again. Auto-fallback to bundled Chromium when system Chrome refuses to start; force via
BROWSER_CHANNEL=chromium. (closes #13, #19) - Notebook library load no longer crashes. Safe accessors in
src/library/metadata.tsfor entries with missingtopics/use_cases/content_types. (closes #33) - Stdio is clean. Banner and all logs go to
stderr;node dist/index.js < /dev/nullproduces 0 bytes on stdout. (closes #40) - Better error message for unknown resource URIs — clients hitting
mcp://notebooklmget pointed atnotebooklm://library. (closes #15)
🚀 New capabilities
add_sourcetool — paste URLs or text into a notebook from an agent. ReturnssourceCountBefore/Afterso the call is verifiable. (closes #25)- Audio Overview workflow — async by design:
generate_audioreturns immediately withstatus: "started" | "in_progress" | "ready", pollget_audio_status, thendownload_audio. Idempotent — existing tiles are detected. (closes #11, audio scope; Video / Slides / Quiz / Infographic tracked for a follow-up) - Citations on
ask_question— newsource_formatarg (none|inline|footnotes|json). DOM-level extraction populates a structuredsources[]field. (closes #20) - Streamable-HTTP transport —
--transport http --port 3000 [--host 0.0.0.0]. RoutesPOST /mcpandGET /healthz, MCP-spec session-id header model. Built on the SDK'sStreamableHTTPServerTransport(no Express). (closes #4, #7) - Multi-account —
--account <name>flag (orNOTEBOOKLM_ACCOUNTenv). Each account gets an isolated Chrome profile under~/.local/share/notebooklm-mcp/accounts/<name>/. No credential storage. (closes #2) - Configurable answer timeout —
ANSWER_TIMEOUT_MSenv + per-callbrowser_options.timeout_ms. Default raised 120 s → 600 s. (closes #14, #27) - Provenance + AI-generated marker —
_provenanceenvelope onask_questionresults, prefix on the answer text, configurable viaNOTEBOOKLM_AI_MARKERandNOTEBOOKLM_AI_MARKER_PREFIX. Closes the host-agent trust-boundary gap for indirect prompt injection. (closes #42) FOLLOW_UP_REMINDERis opt-in now viaNOTEBOOKLM_FOLLOW_UP_REMINDER=true(default off). The previous append tripped prompt-injection guards on safety-trained host agents. (closes #28)get_audio_statustool — non-blocking probe that returnsready | in_progress | not_started. Pair with asyncgenerate_audioanddownload_audio.
🏗️ Architecture rewrite
Selector registry — a single file Google can break
All NotebookLM-facing CSS / aria selectors live in src/notebooklm/selectors.ts. UI changes from Google now require touching exactly one file. Anchors are class- and [role="*"]-based with Material-Symbols icon names as fallbacks; the modal anchor is [role="dialog"] (race-free vs. the .mdc-dialog--open animation class). The registry covers EN, DE, FR, ES, PT, IT, NL and JA NotebookLM locales.
Browser lifecycle as its own module
src/browser/browser-manager.tsowns launch / dispose, withprofileStrategy: auto | single | isolatedto fall back to an isolated per-instance profile when the base profile is lockedsrc/browser/chromium-fallback.tsfor the channel-failure → bundled-Chromium retrysrc/browser/watchdog.tsfor the bounded-poll + health-check pattern reused across chat extraction, citation extraction, and source ingestion
Session recovery
findChatInput() recovery: 2× Escape → URL clean → reload — fixes ask_question failing after add_source or after a citation source-panel was left open.
Source ingestion (src/notebooklm/sources.ts)
- Robust dialog open: sidebar button →
?addSource=trueURL fallback - Snapshot count after fill, before submit
- UUID-redirect detection for pasted-text uploads
- Dual-anchor
countSources()+ 90 s post-submit poll with[role="alert"]error surfacing
MCP-spec compliance
- Server-level
instructionsstring with cross-tool workflow guide — clients merge it into the system prompt automatically - Tool descriptions condensed to what + when;
annotations(readOnlyHint/destructiveHint/idempotentHint/openWorldHint/title) on every tool
⚠️ Migration notes (v1 → v2)
FOLLOW_UP_REMINDERis off by default. SetNOTEBOOKLM_FOLLOW_UP_REMINDER=trueto keep the old append.answerTimeoutMsdefault raised 120 s → 600 s. SetANSWER_TIMEOUT_MS=120000to keep the old fail-fast ceiling.- Answer text is now prefixed with the AI-generated marker by default. Set
NOTEBOOKLM_AI_MARKER=falseto disable (not recommended for host-agent safety). - Resource URI scheme is
notebooklm://…. Clients that built URLs starting withmcp://need to update. - v1 is no longer supported.
🧰 Tooling & DX
- ESLint flat config + Prettier;
npm run lint,npm run format,npm run check(format-check + lint + build in one) - Type-safe build with zero
as anycasts; DOM types enabled for in-page evaluations (lib: ["ES2022", "DOM", "DOM.Iterable"]) - Default viewport raised 1024×768 → 1920×1080 so NotebookLM doesn't drop into the mobile Studio layout
add_source,generate_audio,download_audio,get_audio_statusaccept ashow_browserflag for live debugging
📖 Docs
Full README rewrite plus refreshed docs/configuration.md, docs/tools.md, docs/troubleshooting.md, docs/usage-guide.md — covering install, client wiring (Claude Code, Cursor, Codex, generic), authentication, transports, multi-account, full tool list, profiles, citations, provenance, configuration, migration. WSL2 + WSLg is documented as supported; WSL1 is not. (closes #32, #8)
Stats: 47 files changed, 6 270 insertions(+), 1 712 deletions(−)
🙏 Acknowledgements
Several community PRs and reports shaped v2.0.0. Their ideas live on in the new code even where the final implementation took a different shape:
- @joaocarlos (#23) — diagnosed the 100 % CPU zombie-page loop and prototyped the bounded-poll + health-check pattern. Shipped as
src/browser/watchdog.ts. - @joaocarlos (#24) — DOM citation extraction. Shipped as
source_formatonask_question+src/notebooklm/citations.ts. - @Toryn02 (#44) — argued for an
ANSWER_TIMEOUT_MSenv var. Shipped exactly as proposed. - @leo-dower (#37) — surfaced the prompt-injection-flag conflict around
FOLLOW_UP_REMINDER. Shipped as opt-in (default off). - @dave-007 (#41) — Studio artifact generation via direct
batchexecuteRPC. Audio Overview shipped via browser automation in v2.0.0; the RPC notes will guide the rest of the Studio surface in a follow-up. - Plus every issue reporter whose precise repros made each fix traceable.
Thank you all 🙌
📦 Issue closeout — full v1 backlog cleared
Bugs fixed: #43 · #42 · #40 · #33 · #29 · #28 · #27 · #19 · #16 · #15 · #14 · [#13](https://gith...
v1.2.1 - Completions Capability Fix
Bug Fix
- Added missing
completions: {}capability to server configuration (PR #10 by @joaocarlos)
This fixes the startup crash on Claude Desktop and other MCP clients:
Error: Server does not support completions (required for completion/complete)
Thanks to @joaocarlos for the fix!
v1.2.0 - Tool Profiles & LibreChat Fix
What's New
Tool Profiles System
Reduce token usage by loading only the tools you need:
- minimal (5 tools) - Query-only operations
- standard (10 tools) - + Library management
- full (16 tools) - All tools
CLI Configuration
npx notebooklm-mcp config get
npx notebooklm-mcp config set profile minimal
npx notebooklm-mcp config set disabled-tools "cleanup_data,re_auth"
npx notebooklm-mcp config resetEnvironment variables: NOTEBOOKLM_PROFILE, NOTEBOOKLM_DISABLED_TOOLS
Bug Fixes
- LibreChat Compatibility - Fixed "Server does not support completions" error (#3)
- Thinking Detection - Fixed incomplete answers showing placeholder text
Improvements
- Modularized codebase for better maintainability
- Removed unreliable text-based placeholder detection
Full Changelog: See CHANGELOG.md
v1.1.2 - First Stable Release
NotebookLM MCP Server - First Stable Release
Let your CLI agents (Claude Code, Codex, Cursor) chat directly with NotebookLM for zero-hallucination answers based on your own notebooks.
This is the first stable release after thorough testing and feature refinement. The server is production-ready and actively used in real-world projects.
Installation
Quick Start
Claude Code:
claude mcp add notebooklm npx notebooklm-mcp@latestCodex:
codex mcp add notebooklm -- npx notebooklm-mcp@latestCursor:
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"notebooklm": {
"command": "npx",
"args": ["-y", "notebooklm-mcp@latest"]
}
}
}See README for more installation options (Gemini, amp, VS Code).
What This Solves
When you tell Claude or Cursor to "search through my documentation", here's what happens:
- Massive token consumption: Reading multiple files repeatedly
- Inaccurate retrieval: Keyword search misses context and connections
- Hallucinations: Invents plausible-sounding APIs when it can't find something
- Expensive and slow: Each question requires re-reading files
Solution: Let your local agents chat directly with NotebookLM — Google's zero-hallucination knowledge base powered by Gemini 2.5 that provides intelligent, synthesized answers from your docs.
Your Task → Local Agent asks NotebookLM → Gemini synthesizes answer → Agent writes correct code
No more manual copy-paste between NotebookLM and your editor. Your agent asks NotebookLM directly and gets answers straight back in the CLI.
Core Features
Zero Hallucinations
NotebookLM refuses to answer if information isn't in your docs. No invented APIs.
Autonomous Research
Claude asks follow-up questions automatically, building complete understanding before coding.
Smart Library Management
Save NotebookLM links with tags and descriptions. Claude auto-selects the right notebook for your task.
Deep Cleanup Tool
Fresh start anytime. Scans entire system for NotebookLM data with categorized preview.
Persistent Sessions
Browser sessions stay alive across multiple queries for faster responses.
Human-Like Automation
Realistic typing speeds, natural delays, and mouse movements to avoid detection.
What's New in v1.1.2
Version History Overview
v1.1.x - Feature Additions:
- Added reference to companion Claude Code Skill version
- Fixed binary execution permissions across platforms
- Expanded installation guides (Cursor, Gemini, amp, VS Code)
- Major library management improvements
v1.0.x - Stability Refinements:
- Initial public release with core functionality
- Multiple bug fixes and documentation improvements
- Authentication flow hardening
- Browser automation reliability improvements
Full Changelog
v1.1.2 (Latest)
- Add Claude Code Skill reference to README
- Include package-lock.json in repository
- Clean up gitignore for CLAUDE.md
v1.1.1
- Fix binary permissions across npm installations
- Add postbuild script for executable setup
v1.1.0
- Major feature update with enhanced library management
- Improved session handling
v1.0.5
- Add installation guides for multiple clients (Cursor, Gemini, amp, VS Code)
v1.0.1 - v1.0.4
- Documentation improvements
- Authentication flow fixes
- Browser automation stability enhancements
v1.0.0
- Initial public release
- Core MCP server functionality
- Browser automation with Patchright
- Smart library management
- Deep cleanup tool
Quick Start Guide
1. Install the MCP server
See Installation section above for your specific client.
2. Authenticate (one-time)
Say in your chat:
"Log me in to NotebookLM"
A Chrome window opens → log in with Google → Done.
3. Create your knowledge base
Go to notebooklm.google.com:
- Create notebook
- Upload your docs (PDFs, Google Docs, markdown, websites, YouTube videos)
- Share: ⚙️ Share → Anyone with link → Copy
4. Let your agent use it
"I'm building with [library]. Here's my NotebookLM: [link]"
That's it. Your agent now asks NotebookLM whatever it needs, building expertise before writing code.
Real-World Example
Building an n8n Workflow Without Hallucinations
Challenge: n8n's API is new — Claude hallucinates node names and functions.
Solution:
- Downloaded complete n8n documentation → merged into manageable chunks
- Uploaded to NotebookLM
- Told Claude: "Build me a Gmail spam filter workflow. Use this NotebookLM: [link]"
Watch the AI-to-AI conversation:
Claude → "How does Gmail integration work in n8n?"
NotebookLM → "Use Gmail Trigger with polling, or Gmail node with Get Many..."
Claude → "How to decode base64 email body?"
NotebookLM → "Body is base64url encoded in payload.parts, use Function node..."
Claude → "How to parse OpenAI response as JSON?"
NotebookLM → "Set responseFormat to json, use {{ $json.spam }} in IF node..."
Claude → "What about error handling if the API fails?"
NotebookLM → "Use Error Trigger node with Continue On Fail enabled..."
Claude → ✓ "Here's your complete workflow JSON..."
Result: Perfect workflow on first try. No debugging hallucinated APIs.
Why NotebookLM, Not Local RAG?
| Approach | Token Cost | Setup Time | Hallucinations | Answer Quality |
|---|---|---|---|---|
| Feed docs to Claude | Very high | Instant | Yes - fills gaps | Variable retrieval |
| Web search | Medium | Instant | High - unreliable sources | Hit or miss |
| Local RAG | Medium-High | Hours | Medium - retrieval gaps | Depends on setup |
| NotebookLM MCP | Minimal | 5 minutes | Zero - refuses if unknown | Expert synthesis |
What Makes NotebookLM Superior
- Pre-processed by Gemini: Upload docs once, get instant expert knowledge
- Natural language Q&A: Not just retrieval — actual understanding and synthesis
- Multi-source correlation: Connects information across 50+ documents
- Citation-backed: Every answer includes source references
- No infrastructure: No vector DBs, embeddings, or chunking strategies needed
Alternative: Claude Code Skill
Prefer Claude Code Skills over MCP? This server is now also available as a native Claude Code Skill:
NotebookLM Claude Code Skill - Clone to ~/.claude/skills and start using immediately
Key differences:
- MCP Server (this repo): Persistent sessions, works with Claude Code, Codex, Cursor, and other MCP clients
- Claude Code Skill: Simpler setup, Python-based, stateless queries, works only with Claude Code
Both use the same browser automation technology and provide zero-hallucination answers from your NotebookLM notebooks.
Documentation
- README - Complete overview and quick start
- Usage Guide - Patterns, workflows, tips
- Tool Reference - Complete MCP API
- Configuration - Environment variables
- Troubleshooting - Common issues
Technical Details
Requirements
- Node.js 18.0.0 or higher
- Chrome/Chromium browser (installed automatically if needed)
- Google account for NotebookLM access
Architecture
- TypeScript-based MCP server
- Browser automation via Patchright
- Persistent session management
- Local data storage via env-paths
Platform Support
- Linux
- macOS
- Windows
FAQ
Is it really zero hallucinations?
Yes. NotebookLM is specifically designed to only answer from uploaded sources. If it doesn't know, it says so.
What about rate limits?
Free tier has daily query limits per Google account. Quick account switching supported for continued research.
How secure is this?
Chrome runs locally. Your credentials never leave your machine. Use a dedicated Google account if concerned.
Can I see what's happening?
Yes. Say "Show me the browser" to watch the live NotebookLM conversation.
What makes this better than Claude's built-in knowledge?
Your docs are always current. No training cutoff. No hallucinations. Perfect for new libraries, internal APIs, or fast-moving projects.
Disclaimer
This tool automates browser interactions with NotebookLM to make your workflow more efficient. However, a few important notes:
About Browser Automation
While this server includes humanization features (realistic typing speeds, natural delays, mouse movements) to make automation behave naturally, I cannot guarantee Google won't detect or flag automated usage. I recommend using a dedicated Google account for automation rather than your primary account — think of it like web scraping: probably fine, but better safe than sorry.
About CLI Tools and AI Agents
CLI tools like Claude Code, Codex, and similar AI-powered assistants are incredibly powerful, but they can make mistakes. Please use them with care and awareness:
- Always review changes before committing or deploying
- Test in safe environments first
- Keep backups of important work
- Remember: AI agents are assistants, not infallible oracles
I built this tool for myself because I was tired of the copy-paste dance between NotebookLM and my editor. I'm sharing it in the hope it helps others too, but I cannot take responsibility for any issues, data loss, or account problems that might occur. Use at your own discretion an...