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NotebookLM MCP Server

by Morfeu333
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Python
Hybrid

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    • 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 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.
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    • NotebookLM MCP Server

      set2374
      A
      license
      A
      quality
      F
      maintenance
      Enables interaction with Google's NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Drive, perform AI-powered research and analysis, and generate audio overviews, videos, infographics, and slide decks from research content.
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    • NotebookLM MCP Server

      ran-ai-agency
      A
      license
      A
      quality
      D
      maintenance
      Enables interaction with Google NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Google Drive, perform AI-powered research and analysis, generate audio podcasts, videos, infographics, and slide decks from notebook content.
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    • 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.
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    Deploy Server
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    TDQS

    A3.7/5.0

    Scored across 32 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between creation tools (e.g., audio_overview_create, video_overview_create, slide_deck_create) that could cause confusion due to similar naming and parameters. However, the descriptions clarify their specific output formats, preventing major misselection.

    Naming Consistency5/5

    Tool names follow a consistent snake_case pattern with clear verb_noun structure (e.g., notebook_create, source_delete, research_start). There are no deviations in naming conventions, making the set predictable and easy to parse.

    Tool Count3/5

    With 32 tools, the count is borderline high for the domain of notebook management and content generation. While the tools cover many features, the number may feel heavy and could overwhelm agents, though it aligns with a comprehensive feature set.

    Completeness5/5

    The toolset provides complete CRUD/lifecycle coverage for notebooks and sources, along with extensive content generation, research, and authentication workflows. There are no obvious gaps, and the surface supports all core operations for the domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources