Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.
MIT
260,585 tools. Last updated 2026-07-05 07:35
"A resource for conducting deep research" matching MCP tools:
- Initiate web or Google Drive searches to find new sources for research topics, supporting fast or deep exploration modes.MIT
- Search web or Google Drive to find new sources. Initiate fast or deep research to gather sources for your notebook.MIT
- Conduct deep multi-source research for literature reviews, comprehensive overviews, and investigative queries. Returns detailed responses with numbered citations.MIT
- Search the web or Google Drive to find new sources for research. Select fast or deep mode to collect relevant information for your notebook.MIT
- Retrieve the full text of a tela page by its page ID, obtained from search results, for Deep Research tasks.AGPL 3.0
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
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
Research GTM triggers: new NIH grants by PI/institution and new clinical trials by sponsor/phase.
- Search web or Google Drive to find new sources for a notebook. Use fast mode for quick results or deep mode for thorough research.MIT
- Initiate a deep research analysis by submitting a query. Returns an interaction ID for tracking and asynchronous result retrieval.MIT
- Check the status of deep research results or wait until they are complete, receiving a notification when finished.MIT
- Ask follow-up questions on a completed Deep Research report by passing the interaction ID. Synchronous tool returns fast answers using original research context.MIT
- Perform deep buyer persona research for a market pipeline using 25-35 web searches. Discover insights to transform ideas into revenue.MIT
- Conduct deep multi-source web research on any question.MIT
- Monitor the progress of a LinkedIn deep research job by providing its ID to track completion status and results.ISC
- Creates a structured research plan for a given topic, outlining steps, tool order, and output paths with configurable depth (quick, standard, or deep).MIT
- Initiate a deep research query asynchronously to prevent connection timeouts. Returns a task ID immediately; poll for results later.MIT
- Generates in-depth research reports from a query, using a limited monthly pool of deep research queries.MIT
- Analyze queries to identify research goals like quick answers, deep research, or documentation, providing confidence scores for each intent classification.
- Conduct deep web research on specified topics and automatically import findings into notebooks for academic study and knowledge management.
- Perform deep financial research on any topic using AI agents. Customize research depth, persona, focus areas, and timeframe for comprehensive analysis.MIT
- Automates multi-source research by running parallel searches across Google, Bing, and DuckDuckGo, extracting full content, and synthesizing a cited report for complex questions.MIT