Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.
MIT
744,618 tools. Updated 2026-11-04 23:54
"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
- Initiate web or Google Drive searches to find new sources for research topics. Choose between fast or deep search modes to gather relevant information for your notebook.MIT
- 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
- Cancel an active deep research session and save its checkpoint for later resumption using deep_research with resume_research_id.MIT
- Search web or Google Drive to find new sources. Initiate fast or deep research to gather sources for your notebook.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.16MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to perform deep web research and generate comprehensive reports using a multi-agent divide and conquer approach.1-
Matching MCP Connectors
- Fodda Deep ResearchOAuth
Autonomous deep research reports merging PSFK trend graphs with citable sources.
- deep-researchOAuth
Autonomous buy-side research: diligence, earnings, SEC filings, comp sets. Source-cited real data.
- Submit a deep web research job for explicit deep research requests. Returns a research_id immediately; the job runs in the background for later result retrieval.MIT
- Create a structured research plan with sub-questions, suggested sources, and cost estimates before executing deep research. Use it to review and refine the plan, then pass the returned JSON to the research tool for execution.MIT
- Start a web or Google Drive search to find new sources for fast or deep research, then poll status and import results into NotebookLM.MIT
- Conduct deep multi-source research for literature reviews, comprehensive overviews, and investigative queries. Returns detailed responses with numbered citations.MIT
- Retrieve deep player research for NBA/WNBA props: season averages, recent game logs, matchup history, DvP, trends, and injury status using a playerId.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
- Conduct thorough multi-source research on complex topics, synthesizing cited web results into comprehensive analysis for technical deep-dives and comparisons.MIT
- Start a research search on the web or Google Drive to find new sources. Choose fast mode for quick results or deep mode for comprehensive coverage.MIT
- Search the web or Google Drive to find new sources for your research. Pick fast or deep mode to collect relevant sources into a NotebookLM notebook.MIT
- Switch Perplexity search modes to optimize web research: basic search, deep research, analytics/visualization, or educational exploration. Check current mode without switching.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 about a completed Deep Research report using the previous interaction ID to maintain context for fast, synchronous responses.MIT
- Retrieve full HackList opportunity details by listing ID from search for ChatGPT connectors and deep research.MIT
- Start a deep research job asynchronously and get a request ID to poll for results. Use with the sonar-deep-research model for long-running queries.MIT