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OneClickLM

The NotebookLM MCP server that actually works. Auto-healing auth, zero config, one command.

Install / Use

claude mcp add CRtheHILLS -- npx -y github:CRtheHILLS/OneClickLM

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

74/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop
Cursor
Windsurf

Our assessment of OneClickLM

OneClickLM scores 74/100 on our quality scale, 2607th of 2,882 Automation skills we index.

Its MCP Server is 9.4 KB long, well organised into 20 sections with 14 code examples: a thorough specification that gives an agent plenty to work with.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
3/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 8 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 81/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-10-23. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

OneClickLM compared with similar skills

All 4 of these similar skills score higher than OneClickLM; compare them before choosing.

SkillScoreStarsUpdatedFormat
OneClickLM (this skill)by CRtheHILLS7438mo agoMCP Server
Agent-Reachby Panniantong100101.0k2d agoCLAUDE.md
headroomby headroomlabs-ai10077.5ktodayCLAUDE.md
CowAgentby zhayujie10047.5ktodayCLAUDE.md
Scraplingby D4Vinci10089.2ktodayMCP Server

Frequently asked questions

How do I install OneClickLM?
Run claude mcp add CRtheHILLS -- npx -y github:CRtheHILLS/OneClickLM. The install tabs above show the steps for each supported agent.
Which AI agents does OneClickLM work with?
It is written for Claude Code, Claude Desktop, Cursor and Windsurf, as a MCP Server file. Other agents that read the same format can often use it too.
Is OneClickLM safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 81/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is OneClickLM still maintained?
The repository was last updated about 8 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
<p align="center"> <img src="assets/banner.png" alt="OneClickLM" width="800" /> </p> <h1 align="center">OneClickLM</h1> <p align="center"> <strong>The NotebookLM MCP server that actually works.</strong><br> Auto-healing auth · Zero config · One command · 6 powerful tools </p> <p align="center"> <a href="https://www.npmjs.com/package/oneclicklm"><img src="https://img.shields.io/npm/v/oneclicklm?style=flat-square&color=cb3837" alt="npm" /></a> <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/license-MIT-blue?style=flat-square" alt="License" /></a> <a href="https://github.com/CRtheHILLS/OneClickLM/stargazers"><img src="https://img.shields.io/github/stars/CRtheHILLS/OneClickLM?style=flat-square&color=yellow" alt="Stars" /></a> <a href="https://smithery.ai/server/oneclicklm"><img src="https://img.shields.io/badge/Smithery-Registry-purple?style=flat-square" alt="Smithery" /></a> </p> <p align="center"> <a href="#-quick-start">Quick Start</a> · <a href="#-the-problem">The Problem</a> · <a href="#-available-tools">Tools</a> · <a href="#-ide-setup">IDE Setup</a> · <a href="#-comparison">Comparison</a> </p>

Hi! I'm CR 👋

I built OneClickLM because I was tired of every NotebookLM MCP server breaking on me every few days.

After connecting NotebookLM to a 6-domain AI chatbot platform (BEYOND HUMAN), I hit literally every failure mode — expired tokens, Chrome crashes, concurrent query timeouts, you name it. So I built the tool I wished existed.

OneClickLM just works. Login once, forget about it forever.


💥 The Problem

Every NotebookLM MCP server on GitHub shares the same fatal flaw: they break within days.

Google silently rotates auth tokens, and no one handles it.

| What happens | What you see | |:---|:---| | build_label expires (every 1-2 weeks) | 🔴 400 Bad Request, zero explanation | | CSRF token goes stale | 🔴 Queries silently fail | | Chrome already running | 🔴 Login crashes with CDP conflict | | Two queries at once | 🔴 Timeout cascade, server dies | | Python + pipx + virtualenv | 🔴 30 minutes just to install | | Connection drops | 🔴 Queries hang forever |

Sound familiar? Yeah, I went through all of this. So you don't have to.


✅ The Solution

| Feature | How it works | |:---|:---| | Auto-healing auth | Detects expired tokens → refreshes automatically → you never notice | | Zero config | npx oneclicklm login once, then it just works. Forever. | | No Chrome conflicts | Uses system Chrome for login, then pure HTTP. No CDP, no conflicts. | | Smart queue | Serializes concurrent calls. No timeouts, no crashes. | | 6 powerful tools | List, query, create notebooks + add sources. Everything you need. | | TypeScript native | No Python, no virtualenv, no pipx. Just Node.js. |


🚀 Quick Start

Step 1: Login (one time only)

npx oneclicklm login

A browser opens → sign in with Google → done. Your cookies are saved locally (~/.oneclicklm/).

Step 2: Add to your MCP client

{
  "mcpServers": {
    "notebooklm": {
      "command": "npx",
      "args": ["oneclicklm"]
    }
  }
}

Step 3: Start talking to your notebooks!

"List my NotebookLM notebooks"
"What are the key findings in my Research notebook?"
"Create a new notebook called 'Project Alpha'"
"Add this URL to my notebook: https://example.com/paper.pdf"

That's it. No API keys, no profiles, no metadata.json, no build_label hunting.


🛠 Available Tools

| Tool | What it does | Example prompt | |:---|:---|:---| | notebook_list | List all your notebooks | "Show me my NotebookLM notebooks" | | notebook_get | Get notebook details + sources | "What sources are in my Research notebook?" | | notebook_query | Ask questions, get cited answers | "What does my notebook say about X?" | | notebook_create | Create a new notebook | "Create a notebook called 'Q1 Report'" | | source_add | Add URL, YouTube, or text sources | "Add this article to my notebook" | | source_list | List all sources + their status | "Show sources in my Project notebook" |

Pro tip: notebook_query uses the same AI (Gemini) as the NotebookLM web app — your answers are grounded in your actual sources with zero hallucination.


💻 IDE Setup

<details> <summary><strong>🟢 Cursor</strong></summary>

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "notebooklm": {
      "command": "npx",
      "args": ["oneclicklm"]
    }
  }
}
</details> <details> <summary><strong>🟣 Claude Code (CLI)</strong></summary>
claude mcp add notebooklm -- npx oneclicklm
</details> <details> <summary><strong>🔵 VS Code (Copilot)</strong></summary>

Add to .vscode/mcp.json:

{
  "servers": {
    "notebooklm": {
      "command": "npx",
      "args": ["oneclicklm"]
    }
  }
}
</details> <details> <summary><strong>🟡 Windsurf</strong></summary>

Add to ~/.windsurf/mcp.json:

{
  "mcpServers": {
    "notebooklm": {
      "command": "npx",
      "args": ["oneclicklm"]
    }
  }
}
</details>

🔍 How OneClickLM Compares

| Feature | OneClickLM | notebooklm-mcp (Python) | notebooklm-mcp-cli | |:---|:---:|:---:|:---:| | Auto token refresh | ✅ | ❌ | ❌ | | Auto build_label update | ✅ | ❌ | ❌ | | Auto-reconnect on failure | ✅ | ❌ | ❌ | | Request queue (no crashes) | ✅ | ❌ | ❌ | | Zero-config install | ✅ npx | ❌ pipx + profiles | ❌ pipx + profiles | | Language | TypeScript | Python | Python | | Chrome conflicts | None | Common | Common | | Human-readable errors | ✅ | ❌ | ❌ | | Create notebooks via MCP | ✅ | ❌ | ✅ | | Add sources via MCP | ✅ | ❌ | ✅ |


⚙️ Configuration

OneClickLM works with zero configuration. But if you need it:

# Custom config directory
ONECLICKLM_DIR=~/.my-config npx oneclicklm

# Debug logging (see what's happening under the hood)
ONECLICKLM_LOG=debug npx oneclicklm

# Custom request timeout (default: 30s, queries may need longer)
ONECLICKLM_TIMEOUT=60000 npx oneclicklm

# Custom Chrome path
CHROME_PATH=/path/to/chrome npx oneclicklm login

Config is stored in ~/.oneclicklm/:

~/.oneclicklm/
├── cookies.json    # Google auth cookies (auto-managed)
└── tokens.json     # CSRF + session + build_label (auto-refreshed)

🧠 How It Works (for the curious)

OneClickLM speaks the same language as the NotebookLM web app — Google's internal batchexecute RPC protocol.

Here's what happens when you ask a question:

You: "What are the key findings?"
 ↓
MCP Client (Cursor/Claude/VS Code) sends tool call
 ↓
OneClickLM checks tokens → auto-refreshes if stale
 ↓
Fetches source IDs from notebook (RPC: rLM1Ne)
 ↓
Sends query via streaming endpoint (GenerateFreeFormStreamed)
 ↓
Parses streaming response → extracts answer
 ↓
Returns grounded, cited answer to your AI

The magic is in the auto-healing auth:

  1. On startup: loads saved cookies + cached tokens
  2. If tokens expired (>1 hour): fetches NotebookLM page → extracts fresh SNlM0e (CSRF) + FdrFJe (session) + build_label
  3. If cookies expired (~30 days): prompts for re-login
  4. If API returns 400/401: auto-refreshes tokens and retries once
  5. All requests serialized through a queue → no concurrent crash

[!NOTE] OneClickLM uses Google's internal web protocol, not an official API. This means it works with your existing Google account — no API keys, no billing, no quotas. Google AI Pro subscribers get full NotebookLM access.


🔧 Troubleshooting

<details> <summary><strong>Login window doesn't appear</strong></summary>

Make sure Chrome/Chromium is installed. OneClickLM detects it automatically on macOS, Windows, and Linux.

# If using a non-standard Chrome location:
CHROME_PATH=/path/to/chrome npx oneclicklm login
</details> <details> <summary><strong>Getting 400/401 errors</strong></summary>

OneClickLM auto-refreshes tokens, but if it persists:

# Force token refresh
npx oneclicklm refresh

# Nuclear option: re-login
npx oneclicklm login
</details> <details> <summary><strong>Queries are slow (~15-30 seconds)</strong></summary>

This is normal. NotebookLM processes your query against all uploaded sources in real-time (this is the Gemini model working). The NotebookLM web app has similar response times. For faster results, use notebooks with fewer sources.

</details> <details> <summary><strong>Check if everything is working</strong></summary>
npx oneclicklm status

This verifies cookies, extracts fresh tokens, and tells you if anything is wrong.

</details>

🤝 Contributing

Contributions welcome! Bug reports, feature requests, and PRs are all appreciated.

git clone https://github.com/CRtheHILLS/OneClickLM.git
cd OneClickLM
npm install
npm run build
node dist/src/index.js  # Run locally

⭐ Star History

If OneClickLM saved you from NotebookLM auth hell, consider starring the repo!

<p align="center"> <a href="https://star-history.com/#CRtheHILLS/OneClickLM&Date"> <img src="https://api.star-history.com/svg?repos=CRtheHILLS/OneClickLM&type=Date" width="600" alt="Star History" /> </a> </p>

License

MIT © CRtheHILLS


<p align="center"> <sub>Built with frustration, fixed with determination. 🔥</sub><br> <sub>Born from <a href="https://github.com/CRtheHILLS/beyond-human">BEYOND HUMAN</a> — a 6-domain AI chatbot platform powered by NotebookLM.</sub> </p>

Related Skills

View on GitHub
GitHub Stars3
CategoryAutomation
Updated7mo ago
Forks0

Languages

TypeScript

Trust signals

81/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

3 low