Cancel an active deep research session and save its checkpoint for later resumption using deep_research with resume_research_id.
MIT
305,560 tools. Last updated 2026-07-23 07:10
"Using NotebookLM for deep research" matching MCP tools:
- 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
- Initiate a deep research analysis by submitting a query. Returns an interaction ID for tracking and asynchronous result retrieval.MIT
- Save your NotebookLM chat as a formatted note with timestamps and user/AI attribution. Preserve research conversations or create 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
Matching MCP Servers
- Alicense-qualityCmaintenanceEnables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.Last updated17MIT
- Flicense-qualityFmaintenanceEnables AI assistants to perform deep web research and generate comprehensive reports using a multi-agent divide and conquer approach.Last updated1
Matching MCP Connectors
Autonomous buy-side research: diligence, earnings, SEC filings, comp sets. Source-cited real data.
Conduct comprehensive research projects using a virtual computer equipped with a real browser, coding tools, document creation capabilities, and more. Deep Research by Openhelm enables your agent to tackle work such as: • Market and competitor analysis • Industry and company research • Investment and acquisition due diligence • Technical and scientific investigations • Report generation with sources and evidence What makes OpenHelm the best solution for this: • Research is continuously revie
- 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
- Build a NotebookLM upload bundle for a research cluster, optionally including PDF downloads.MIT
- Download the latest NotebookLM briefing and store it in your research vault.MIT
- Upload research cluster bundles to NotebookLM using saved sessions, automating note and source synchronization.MIT
- Perform comprehensive research and detailed analysis using deep reasoning for complex queries, technical investigations, and academic topics.
- Perform deep reasoning and complex analysis by automatically routing to optimal AI capabilities for multi-step problem-solving and research questions.
- Generates in-depth research reports from a query, using a limited monthly pool of deep research queries.MIT
- Conduct detailed web searches with contextually relevant results and citations using Perplexity's Deep Research API, filtering by recency as needed.
- Create presentation slides from NotebookLM notebooks using custom instructions to transform research content into visual formats.
- Perform deep financial research on any topic using AI agents. Customize research depth, persona, focus areas, and timeframe for comprehensive analysis.MIT
- Automatically creates a research workspace with library, agents, and workflows. Provide a topic and optional depth to get started without manual setup.MIT
- Simulates deep research by gathering, analyzing, and synthesizing information across multiple stages. Optionally requests clarification for ambiguous queries.MIT
- Compare Echo3s to key audiobook production platforms: ACX, Amazon KDP, ElevenLabs, NotebookLM, Speechify, and Apple. Get a side-by-side analysis to guide your choice.MIT