NotebookLM MCP Server
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- AlicenseAqualityCmaintenanceEnables AI agents to interact with Google NotebookLM, including listing and managing notebooks and sources, asking grounded questions with citations, and generating audio overviews, briefings, quizzes, and mind maps.13MIT
- AlicenseBqualityBmaintenanceEnables AI agents to interact with Google NotebookLM for grounded, hallucination-free answers through notebook management, source management, research, and generation tools.29528 npm34MIT
- AlicenseAqualityCmaintenanceExposes Google NotebookLM notebooks as tools for AI assistants, enabling listing, finding, and querying notebooks with grounded answers.41MIT
- AlicenseNot gradedqualityDmaintenanceEnables interaction with Google NotebookLM to create notebooks, add sources (PDF, URL, YouTube), and ask questions with citations.1MIT
- AlicenseAqualityBmaintenanceConnects AI coding agents to Google NotebookLM, enabling querying notebooks, adding sources, and generating artifacts like reports, podcasts, and slide decks.141MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to programmatically access and control Google NotebookLM, supporting operations like notebook management, source addition, audio generation, and more via natural language.39MIT
TDQS
Scored across 11 tools
Each tool has a clearly distinct purpose with no ambiguity: ask_notebook queries content, create_note adds notes, download_notes exports files, generate_* tools create different output formats, get_notebook_sources retrieves sources, list_notebooks enumerates notebooks, and select_notebook sets up local directories. The tools target different actions on notebooks without overlap.
Tool names follow a consistent verb_noun pattern throughout: ask_notebook, create_note, download_notes, generate_audio, generate_infographic, generate_report, generate_slides, generate_video, get_notebook_sources, list_notebooks, select_notebook. All use snake_case with clear verbs aligned to their functions.
With 11 tools, this is well-scoped for a NotebookLM server, covering core operations like querying, note management, content generation in multiple formats, source retrieval, and notebook selection. Each tool earns its place without bloat, fitting typical MCP server ranges.
The toolset provides comprehensive coverage for NotebookLM workflows, including CRUD-like operations (create_note, list_notebooks), content generation in various formats, and utility functions. Minor gaps exist, such as no update/delete for notes or notebooks, but agents can work around these with the available tools.