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notebooklm-mcp

jacob-bd/notebooklm-mcp/AGENTS.md

This file provides guidance to Codex (Codex.ai/code) when working with code in this repository. Gemini Notebook (formerly Google NotebookLM) MCP Server & CLI - Provides programmatic access to Gemini Notebook (notebook.google.com) via both a Model Context Protocol server and a comprehensive command-line interface. Tested with personal/free tier accounts. May work with Google Workspace accounts but has not been tested. Python requirement: >=3.11 You only need to provide COOKIES! The CSRF token and session ID are now automatically extracted when needed.

AGENTS.md6.3k starsChanged 2 days ago

What's in it

  1. AGENTS.md
  2. Project Overview
  3. Development Commands
  4. Authentication (SIMPLIFIED!)
  5. Method 1: Chrome DevTools MCP (Recommended)
  6. Method 2: Environment Variables
  7. Token Expiration
  8. Architecture
  9. MCP Tools Provided
  10. Features NOT Yet Implemented
  11. Troubleshooting
  12. "401 Unauthorized" or "403 Forbidden"
  13. "Invalid CSRF token"
  14. Empty notebook list
  15. Rate limit errors
  16. Documentation
  17. API Reference
  18. MCP Test Plan
  19. Contributing
  20. License
# AGENTS.md

This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.

## Project Overview

**Gemini Notebook (formerly Google NotebookLM) MCP Server & CLI** - Provides programmatic access to Gemini Notebook (notebook.google.com) via both a Model Context Protocol server and a comprehensive command-line interface.

Tested with personal/free tier accounts. May work with Google Workspace accounts but has not been tested.

## Development Commands

```bash
# Install dependencies
uv tool install .

# Reinstall after code changes (ALWAYS clean cache first)
uv cache clean && uv tool install --force .

# Run the MCP server (stdio)
notebooklm-mcp

# Run with Debug logging
notebooklm-mcp --debug

# Run as HTTP server
notebooklm-mcp --transport http --port 8000

# Run tests
uv run pytest

# Run a single test
uv run pytest tests/test_file.py::test_function -v
```

**Python requirement:** >=3.11

## Authentication (SIMPLIFIED!)

**You only need to provide COOKIES!** The CSRF token and session ID are now **automatically extracted** when needed.

### Method 1: Chrome DevTools MCP (Recommended)

**Option A - Fast (Recommended):**
Extract CSRF token and session ID directly from network request - **no page fetch needed!**

```python
# 1. Navigate to NotebookLM page
navigate_page(url="https://notebook.google.com/")

# 2. Get a batchexecute request (any NotebookLM API call)
get_network_request(reqid=<any_batchexecute_request>)

# 3. Save with all three fields from the network request:
save_auth_tokens(
    cookies=<cookie_header>,
    request_body=<request_body>,  # Contains CSRF token
    request_url=<request_url>      # Contains session ID
)
```

**Option B - Minimal (slower first call):**
Save only cookies, tokens extracted from page on first API call

```python
save_auth_tokens(cookies=<cookie_header>)
```

### Method 2: Environment Variables

| Variable | Required | Description |
|----------|----------|-------------|
| `NOTEBOOKLM_COOKIES` | Yes | Full cookie header from Chrome DevTools |
| `NOTEBOOKLM_CSRF_TOKEN` | No | (DEPRECATED - auto-extracted) |
| `NOTEBOOKLM_SESSION_ID` | No | (DEPRECATED - auto-extracted) |
| `NOTEBOOKLM_BL` | No | Override for build label / bl URL param (auto-extracted from page) |
| `NOTEBOOKLM_HL` | No | Interface language and default artifact language (default: `en`) |

### Token Expiration

- **Cookies**: Stable for weeks, but some rotate on each request
- **CSRF token**: Auto-refreshed on each client initialization
- **Session ID**: Auto-refreshed on each client initialization
- **Build label (bl)**: Auto-extracted during login and CSRF refresh; stays current with Google's build

When API calls fail with auth errors, re-extract fresh cookies from Chrome DevTools.

## Architecture

```
src/notebooklm_tools/
├── __init__.py          # Package version
├── services/            # Shared service layer (v0.3.0+)
│   ├── errors.py        # ServiceError, ValidationError, NotFoundError, etc.
│   ├── chat.py          # Chat/query logic
│   ├── downloads.py     # Artifact downloading
│   ├── exports.py       # Google Docs/Sheets export
│   ├── notebooks.py     # Notebook CRUD + describe
│   ├── notes.py         # Note CRUD
│   ├── research.py      # Research start/poll/import
│   ├── sharing.py       # Public link, invite, status
│   ├── sources.py       # Source add/list/sync/delete
│   └── studio.py        # Artifact creation, status, rename, delete
├── cli/                 # CLI commands and formatting (thin wrapper)
├── mcp/                 # MCP server + tools (thin wrapper)
│   ├── server.py        # FastMCP server facade
│   └── tools/           # Modular tool definitions per domain
├── core/                # Low-level API client (no business logic)
│   ├── client.py        # Internal batchexecute API calls
│   ├── constants.py     # Code-name mappings (CodeMapper class)
│   └── auth.py          # AuthManager for profile-based token caching
└── utils/
    ├── config.py        # Configuration and storage paths
    └── cdp.py           # Chrome DevTools Protocol for cookie extraction
```

**Layering Rules (v0.3.0+):**
- `cli/` and `mcp/` are thin wrappers: they handle UX concerns (prompts, spinners, JSON responses) and delegate to `services/`
- `services/` contains all business logic, validation, and error handling. Returns typed dicts.
- `cli/` and `mcp/` must NOT import from `core/` directly — always go through `services/`
- `services/` raises `ServiceError`/`ValidationError` — never raw exceptions

**Storage Structure (`~/.notebooklm-mcp-cli/`):**
```
├── config.toml                    # CLI settings (default_profile, output format)
├── aliases.json                   # Notebook aliases
├── installation.json              # Installation identity
├── locks/                         # Inter-process profile locks
├── operations/                    # Migration state & quarantine markers
├── profiles/<name>/
│   ├── metadata.json              # Non-secret metadata (email, host, storage mode)
│   ├── credentials.enc            # AES-256-GCM encrypted credentials (Protected mode)
│   └── cookies.json               # Plaintext cookies (File mode only)
├── auth.json                      # Root mirror of default profile (File mode only)
├── chrome-profile/                # Chrome session (single-profile/legacy)
└── chrome-profiles/<name>/        # Chrome sessions (multi-profile)
```

**Credential Storage Modes:**
- **Protected mode (recommended for personal computers):** Credentials encrypted at rest (`credentials.enc`) with keys in OS keystore (macOS Keychain, Windows Credential Manager, Linux SecretService). Managed via `nlm auth storage status`, `set protected|file`, `resolve`, and `relocate`.
- **File mode (default / servers / cron / Docker):** Plaintext cookies stored with `0600` permissions.
- **First login:** for a NEW profile `nlm login` asks plain vs protected before the browser opens (only in a desktop terminal; `--storage protected|file` skips it). The marker is written right before the first save and rolled back if the save fails; the answer is recorded only after success.
- **Safety rule for AI assistants:** Never print decrypted credentials, cookies, or raw keystore values. Output redacted diagnostics only.

**Executables:**
- `nlm` - Command-line interface
- `notebooklm-mcp` - The Gemini Notebook MCP server executable

**Configured MCP name:** `gemini-notebook-mcp` (the executable name remains
`notebooklm-mcp` for compatibility). Claude Desktop setup detects regular and
Relay AI/3P profiles, never creates missing profiles, and refuses to write
while the selected Claude instance is running. User-level skill installation
also requires the target tool to be detected. The `nlm setup` wizard flags
entries still named `notebooklm-mcp`/`notebooklm` as "old name" and renames
them on request. `nlm skill package` (`cli/skill_package.py`) builds the
`nlm-skill.zip` upload file for Claude Desktop Chat/Cowork and claude.ai, which
don't read local skill folders.

## MCP Tools Provided

| Tool | Purpose |
|------|---------|
| `notebook_list` | List all notebooks |
| `notebook_create` | Create new notebook |
| `notebook_get` | Get notebook details |
| `notebook_describe` | Get AI-generated summary of notebook content with keywords |
| `source_describe` | Get AI-generated summary and keyword chips for a source |
| `source_get_content` | Get raw text content from a source (no AI processing) |
| `notebook_rename` | Rename a notebook |
| `chat_configure` | Configure chat goal/style and response length |
| `notebook_delete` | Delete a notebook (REQUIRES confirmation) |
| `source_add` | Add source (url, text, drive, file) |
| `notebook_query` | Ask questions (AI answers!) |
| `chat_list` | List chat sessions for a notebook |
| `chat_get` | Get full transcript of a chat session (defaults to latest) |
| `chat_export` | Export a chat transcript to Markdown or JSON |
| `chat_save_to_note` | Save a chat (or one turn) as a Note |
| `profile` | List saved accounts, show storage status, switch account for this MCP server (`make_default=true` also saves it as the default) |
| `alias` | Manage notebook ID aliases; every tool's `notebook_id` accepts an alias |
| `source_list_drive` | List sources with types, check Drive freshness |
| `source_sync_drive` | Sync stale Drive sources (REQUIRES confirmation) |
| `source_rename` | Rename a source in a notebook |
| `source_delete` | Delete a source from notebook (REQUIRES confirmation) |
| `research_start` | Start Web or Drive research to discover sources |
| `research_status` | Check research progress and get results |
| `research_import` | Import discovered sources into notebook |
| `studio_create` | Generate unified content (audio, video, infographic, slides, etc.) |
| `download_artifact` | Download any artifact (audio, video, pdf, markdown, json) |
| `export_artifact` | Export Data Tables to Google Sheets or Reports to Google Docs |
| `studio_status` | Check studio artifact generation status |
| `studio_delete` | Delete studio artifacts (REQUIRES confirmation) |
| `studio_revise` | Revise slides in an existing slide deck (creates new artifact, REQUIRES confirmation) |
| `report` | Interactive report elements: `action=get`, `elements` (wait / review content), `generate` (plan; REQUIRES confirmation) |
| `notebook_share_status` | Get sharing settings and collaborators |
| `notebook_share_public` | Enable/disable public link access |
| `notebook_share_invite` | Invite collaborator by email |
| `save_auth_tokens` | Save tokens extracted via Chrome DevTools MCP |
| `refresh_auth` | Reload auth tokens or run headless auth |
| `note_create` | Create a note in a notebook |
| `note_list` | List all notes in a notebook |
| `note_update` | Update a note's content or title |
| `note_delete` | Delete a note (REQUIRES confirmation) |

**IMPORTANT - Operations Requiring Confirmation:**
- `notebook_delete` requires `confirm=True` - deletion is IRREVERSIBLE
- `source_delete` requires `confirm=True` - deletion is IRREVERSIBLE
- `source_sync_drive` requires `confirm=True` - always show stale sources first via `source_list_drive`
- All studio creation tools require `confirm=True` - show settings and get user approval first
- `studio_delete` requires `confirm=True` - list artifacts first via `studio_status`, deletion is IRREVERSIBLE
- `studio_revise` requires `confirm=True` - creates a new artifact with revisions applied
- `report(action="generate")` requires `confirm=True` - starts Studio generation for the plan's elements (consumes AI usage)
- `note_delete` requires `confirm=True` - deletion is IRREVERSIBLE

## Features NOT Yet Implemented

None - all Gemini Notebook features that can be accessed programmatically are implemented.

## Troubleshooting

### "401 Unauthorized" or "403 Forbidden"
- Cookies or CSRF token expired
- Re-extract from Chrome DevTools

### "Invalid CSRF token"
- The `at=` value expired
- Must match the current session

### Empty notebook list
- Session might be for a different Google account
- Verify you're logged into the correct account

### Rate limit errors
- Free tier: ~50 queries/day
- Wait until the next day or upgrade to Plus

## Documentation

### API Reference

**For detailed API documentation** (RPC IDs, parameter structures, response formats), see:

**[docs/API_REFERENCE.md](./docs/API_REFERENCE.md)**

This includes:
- All discovered RPC endpoints and their parameters
- Source type structures (URL, text, Drive)
- Studio content creation (audio, video, reports, etc.)
- Research workflow details
- Mind map generation process
- Source metadata structures

Only read API_REFERENCE.md when:
- Debugging API issues
- Adding new features
- Understanding internal API behavior

### MCP Test Plan

**For comprehensive MCP tool testing**, see:

**[docs/MCP_CLI_TEST_PLAN.md](./docs/MCP_CLI_TEST_PLAN.md)**

This includes:
- Step-by-step test cases for all 53 MCP tools and CLI commands
- Authentication and basic operations tests
- Source management and Drive sync tests
- Studio content generation tests (audio, video, infographics, etc.)
- Quick copy-paste test prompts for validation

Use this test plan when:
- Validating MCP server functionality after code changes
- Testing new tool implementations
- Debugging MCP tool issues

## Contributing

When adding new features:

1. Use Chrome DevTools MCP to capture the network request
2. Document the RPC ID in docs/API_REFERENCE.md
3. Add the param structure with comments
4. Add the low-level API method in `core/client.py`
5. Add business logic in the appropriate `services/*.py` module
6. Add a thin wrapper in `mcp/tools/*.py` (for MCP) and `cli/commands/*.py` (for CLI)
7. Write unit tests for the service function in `tests/services/`
8. Update the "Features NOT Yet Implemented" checklist
9. Add test case to docs/MCP_TEST_PLAN.md

## License

MIT License

More agent context in jacob-bd/notebooklm-mcp

One other file this repository gives its agents.

CLAUDE.md

Also found in 2 other repositories

The same file, byte for byte, in the weekly crawl of public GitHub.

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