Skip to main content
Glama
whmathews15

NotebookLM MCP Server

by whmathews15
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to NotebookLM MCP Server

No user-submitted related servers found.

    Related Servers

    • NotebookLM MCP Server

      Morfeu333
      A
      license
      A
      quality
      D
      maintenance
      Enables interaction with Google's NotebookLM via the Model Context Protocol to manage notebooks, sources, and research tasks. Users can create, query, and summarize content, as well as generate artifacts like audio overviews and slide decks using natural language.
      32
      1
      MIT

    • NotebookLM MCP Server

      mukadeshinigami
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to interact with Google NotebookLM to manage notebooks, sources, and conversations via the Model Context Protocol. It allows for querying sources using NotebookLM's AI and automatically saving responses as notes.
      -

    • 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.
      49
      12,935 PyPI
      6,145
      MIT

    • notebooklm-mcp-cli

      hungln105-cell
      A
      license
      B
      quality
      B
      maintenance
      Enables AI assistants to programmatically access and manage Gemini Notebook (formerly Google NotebookLM), including creating notebooks, adding sources, querying content, generating studio content, downloading artifacts, and running batch or cross-notebook workflows through natural language.
      49
      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

    A3.6/5.0

    Scored across 39 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose with no overlapping functionality. Detailed descriptions clarify any potential confusion, such as the separation between synchronous and asynchronous queries or between research steps.

    Naming Consistency4/5

    Most tools follow a verb_noun snake_case pattern (e.g., notebook_create, studio_create). However, a few tools are single word nouns (label, note, tag, batch), breaking the pattern slightly, but the overall convention is consistent enough.

    Tool Count2/5

    With 39 tools, the count is well above the typical well-scoped range. Several tools could be consolidated (e.g., notebook_query and notebook_query_start/status, or batch tool with sub-actions), making the surface too heavy for simple agents.

    Completeness5/5

    The tool surface covers all major NotebookLM operations: full CRUD for notebooks, sources, notes, labels, studio artifacts, research, sharing, authentication, and batch operations. No obvious gaps are present.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources