Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.
MIT
521,367 tools. Updated 2026-09-06 10:44
"Using NotebookLM for deep research" matching MCP tools:
- Extract conversation history from NotebookLM notebooks to recover previous research, audit queries, and resume context from chat sessions.MIT
- Cancel an active deep research session and save its checkpoint for later resumption using deep_research with resume_research_id.MIT
- Perform deep web searches to find current information, research topics, or answer questions using real-time data from multiple search providers.MIT
- Retrieve past NotebookLM queries and answers to review research sessions, find specific information, and track notebook usage with enterprise-grade security.MIT
- Answers natural-language questions about a research cluster using cached data or live NotebookLM queries. Also retrieves or regenerates briefings.MIT
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.17MIT
- AlicenseAqualityBmaintenanceA 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.3108MIT
Matching MCP Connectors
- Fodda Deep ResearchOAuth
Autonomous deep research reports merging PSFK trend graphs with citable sources.
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Autonomous buy-side research: diligence, earnings, SEC filings, comp sets. Source-cited real data.
- Check server health status, authentication state, and active sessions to verify readiness for research workflows. Use deep check mode to confirm NotebookLM chat UI accessibility.MIT
- Ask a research question about Commonware blockchain via NotebookLM and receive the verbatim response.-
- Search YouTube for a research topic, create a NotebookLM notebook with matching videos, and optionally ask a question to get synthesized answers.MIT
- Perform in-depth web research on any query using ChatGPT Deep Research, returning comprehensive results with sources in 5-15 minutes. Note: blocks other ChatGPT operations during research.MIT
- Initiate a deep research analysis by submitting a query. Returns an interaction ID for tracking and asynchronous result retrieval.MIT
- Save current NotebookLM chat messages to a formatted note, including timestamps and User/NotebookLM attribution. Preserve important research conversations or create discussion summaries before starting a new topic.MIT
- Searches academic databases, ingests papers into Zotero and Obsidian, and generates a NotebookLM brief for any research topic.MIT
- Query NotebookLM to analyze documents and get research answers from your selected notebook. Use browser automation to interact with NotebookLM without API keys.MIT
- Creates a new NotebookLM notebook with a given title for organizing and managing your research notes and sources.MIT
- Analyzes research papers by extracting key findings, providing critical evaluation, and placing them within the broader academic landscape for literature reviews and deep understanding.Apache 2.0
- Retrieve all sources from a NotebookLM notebook to review referenced materials in your research pipeline.MIT
- Create a new NotebookLM notebook to organize research materials. Name the notebook to start building an AI-powered research workspace.MIT
- Conducts in-depth analysis and generates detailed research reports on complex topics using advanced AI models for comprehensive investigation.MIT
- Conduct deep multi-source web research on any question.MIT
- Conduct deep web research on any query using crawling, search, and AI analysis to gather comprehensive information from multiple sources.MIT