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notebooklm

by dfelix-net
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    • 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

      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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    • 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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    • XLMCP

      xLydianSoftware
      A
      license
      B
      quality
      D
      maintenance
      Enables Claude Code to interact with Jupyter notebooks, perform semantic search over knowledge files, and manage research projects.
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    • NotebookLM MCP

      alfredang
      F
      license
      Not graded
      quality
      D
      maintenance
      Integrates Google NotebookLM into Claude to allow users to manage notebooks, add sources, and generate diverse content like podcasts, slides, and reports. It enables natural language interaction with notebook sources across Claude Desktop and Claude Code.
      56
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    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

    C2.8/5.0

    Scored across 15 tools

    Disambiguation4/5

    Most tools target clearly distinct actions or artifact types, such as add_source_url vs add_source_text and the various generate_* artifact generators. However, get_notebook_summary and generate_summary_report both concern summarization/briefing and could be confused, and generate_data_table is somewhat close to report generation.

    Naming Consistency5/5

    All tool names use consistent snake_case with a clear verb_noun pattern: list_notebooks, create_notebook, add_source_url, generate_mind_map, ask_notebook, get_notebook_summary, etc. The convention is predictable throughout.

    Tool Count5/5

    15 tools is well-scoped for NotebookLM's feature set, covering notebook creation, source ingestion, querying, and the major generated artifact types. Each tool has a distinct role in the workflow.

    Completeness3/5

    The surface covers create/list notebooks, add sources, ask/summarize, and many generation tasks. But it lacks update/delete notebook operations, source listing/removal, and a get-single-notebook tool, leaving notable lifecycle and management gaps.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources