Skip to main content
Glama
dougrn

NotebookLM MCP Server

by dougrn
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to NotebookLM MCP Server

No user-submitted related servers found.

    Related Servers

    • notebooklm-mcp

      jacob-bd
      A
      license
      B
      quality
      A
      maintenance
      Enables AI assistants to programmatically interact with Google NotebookLM, allowing them to create and manage notebooks, add sources, query content, generate audio/video, and perform research tasks through natural language commands.
      53
      12,514 PyPI
      6,246
      MIT

    • nblm-mcp

      Diego-Dev-Moros
      A
      license
      A
      quality
      C
      maintenance
      Enables 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.
      13
      MIT

    • NotebookLM Antigravity AI

      HectorDanielAyarachiFuentes
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to drive Google NotebookLM notebooks as a deep-research workspace: ingesting local PDFs and YouTube videos, cross-checking sources for contradictions, identifying knowledge gaps, generating audio overviews, and exporting Markdown dossiers with BibTeX and APA bibliographies. It operates over the Model Context Protocol inside Google Antigravity IDE, with browser-session authentication handled automatically.
      MIT

    • NotebookLM MCP Server

      ignitabull18
      A
      license
      A
      quality
      Not graded
      maintenance
      Enables interaction with Google's NotebookLM through natural language, allowing users to create and manage notebooks, add sources from URLs/YouTube/Google Drive, query AI for insights, generate audio podcasts and other studio content, and perform AI-powered research and analysis.
      32
      3
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 38 tools

    Disambiguation4/5

    Most tools target clearly distinct resources (notebook_*, source_*, studio_*, chat_*, research_*, share_*). A few boundaries blur: source_add overlaps with source_add_drive_file and source_add_play_book, and chat_ask vs chat_start differ only by blocking vs detached execution. Descriptions do explicitly disambiguate these overlaps, so misselection is largely avoidable.

    Naming Consistency4/5

    The set follows a strong resource_verb convention (notebook_rename, source_add, studio_generate, chat_ask, research_start, share_set_user). A few tools break the pattern (note_save, suggest_prompts, server_info, await_upload), but these are minor deviations that stay readable.

    Tool Count3/5

    38 tools is heavy and pushes past the comfortable range. The domain (notebooks, sources, studio artifacts, chat, research, sharing) is genuinely broad so many tools earn their place, but the several source_add* variants and chat ask/start/status family suggest consolidation was possible.

    Completeness5/5

    Coverage spans the full lifecycle: notebooks (create/list/rename/delete/describe), sources (add/list/read/delete/rename/wait), studio artifacts (generate/status/download/rename/retry/delete/list), chat (ask/start/status/cancel/configure), research, sharing, and server health. No obvious dead ends in the domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources