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Alternatives to NotebookLM MCP

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    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
    10,563 PyPI
    6,444
    MIT

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TDQS

A4.2/5.0

Scored across 27 tools

Disambiguation5/5

The tools divide cleanly by domain and action: notebook CRUD, source ingestion/retrieval, Studio artifact generation, research, query, and auth. Parallel families like the seven *_create Studio tools are distinguished by artifact type in the name and description, so an agent can select correctly.

Naming Consistency5/5

All names use snake_case and a consistent domain-first, action-second pattern (notebook_list, source_add_url, report_create, research_start). Occasional extra qualifiers such as source_get_content and auth_save_tokens remain predictable.

Tool Count3/5

27 tools is heavy: the Studio suite could consolidate seven near-identical *_create tools into one parameterised tool, and source ingestion could be unified. However each tool maps to a distinct capability, so the count is borderline rather than arbitrary.

Completeness4/5

Core notebooks, sources, Studio artifacts, research, query, and auth workflows are covered. Gaps include deleting or updating Studio artifacts and refreshing non-Drive URL sources, but agents can work around these.

Maintenance

ActivityMaintained
ResponsivenessSlow