"Using NotebookLM for deep research" matching MCP servers:

A Python-based agent that integrates research providers (OpenAI, Gemini, DR-Tulu, Open Deep Research) with Claude Code via the Model Context Protocol for automated deep research.

An open-source deep research MCP server that provides multi-source web search and synthesis with citations, enabling agents to perform citation-backed research using Qwen3-30B-A3B-Thinking and other models.

Enables users to create and refine a research outline, queue report generation in the background, and retrieve progress or completed Markdown reports, with automatic checkpointing so unfinished work can resume after a restart.

Enables AI tools to access local crypto market data, run analyses, perform 66-item deep research, search RAG context, and retrieve generated reports and prompts via MCP.

An MCP server that exposes Gemini's Deep Research Agent for comprehensive web research.

An MCP server for deep research that performs search, scraping, synthesis, fact-checking, and persistent memory, enabling users to conduct comprehensive research tasks via Claude.

Exposes Google NotebookLM notebooks as tools for AI assistants, enabling listing, finding, and querying notebooks with grounded answers.

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.

An unofficial MCP server for Google NotebookLM that enables users to manage notebooks, add sources, ask questions with citations, and generate audio podcasts via a Playwright-based automation layer.

Bridges NotebookLM's research capabilities with Claude's content generation, enabling creation of notebooks, deep research queries, and structured content output from URLs, PDFs, or trending topics.

A multi-agent research system that decomposes complex queries into targeted sub-questions, searches the web in parallel, scores source credibility, and synthesizes findings into structured markdown reports.

A read-only FastMCP server for academic research that lets agents search papers, inspect metadata, follow citation graphs, generate BibTeX, and read full texts of open-access PDFs via semantic scholar, OpenAlex, arXiv, DBLP, and Crossref.

An enhanced MCP server that enables users to interact with NotebookLM while ensuring strict source fidelity and citation accuracy through client-side prompt structuring. It guides Claude to transform user queries into structured prompts that prevent the addition of external knowledge during document analysis.

Enables AI agents to interact with Google NotebookLM and Gemini API for document analysis, deep research, and notebook creation with enterprise-grade security including post-quantum encryption and 14 security layers.

A deep-research MCP server exposing a single task-augmented tool that runs GPT-Researcher with Tavily search, Anthropic Claude, and OpenAI embeddings, streaming progress via MCP tasks and Upjack entity stream.

Provides programmatic access to Google NotebookLM through the Model Context Protocol, enabling AI assistants to manage notebooks, add sources, generate audio and video content, and perform research tasks.

Enables AI assistants to programmatically access and control Google NotebookLM, supporting operations like notebook management, source addition, audio generation, and more via natural language.

Unifies YouTube transcripts, YouTube search, and Google NotebookLM into a research pipeline for Claude Desktop and MCP clients.

Provides CLI and MCP server to programmatically access Google NotebookLM, enabling AI assistants to create notebooks, add sources, generate podcasts, and more, with support for both personal and enterprise accounts.

Enables AI agents to query and interact with Google NotebookLM notebooks to retrieve citation-backed information. It provides tools for listing notebooks, accessing source data, and asking natural language questions.