NotebookLM Doc Combiner FAQs

Question 1

How does it enhance NotebookLM integration?

Accepted Answer

By creating a single `combined.md` file, it simplifies the process of uploading your entire project's documentation to NotebookLM, allowing you to easily query your knowledge base using natural language without managing multiple source files.

Question 2

What is the NotebookLM Doc Combiner?

Accepted Answer

The NotebookLM Doc Combiner is a Python script that consolidates all Markdown (.md) files from a project into a single, structured `combined.md` document, complete with a clickable index and organized sections.

Question 3

Can I use it with AI agents like Claude or Gemini?

Accepted Answer

Yes, it offers deep integration with AI agents (Claude, Cursor, Gemini) via an MCP (Markdown Consolidation Protocol) server, enabling programmatic access for agents to manage and update your consolidated documentation.

Question 4

Does the main script have any external dependencies?

Accepted Answer

No, the core `combine_docs.py` script is built using only Python's standard library, meaning it has zero external dependencies for its primary function. Optional features like watch mode or MCP integration require specific packages (`watchdog`, `mcp`).

Question 5

What is the 'watch mode' and how does it work?

Accepted Answer

The 'watch mode' (activated via `watch_docs.py`) automatically monitors your project for changes to any Markdown files. Whenever a file is updated, added, or deleted, it instantly regenerates the `combined.md` document, ensuring your consolidated documentation is always current.

NotebookLM Doc Combiner

NotebookLM Doc Combiner

Características Principales

Casos de Uso

Características Principales

Casos de Uso