Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.
MIT
510,021 tools. Updated 2026-09-03 16:35
"Tools for conducting deep research on a topic" matching MCP tools:
- Initiate web or Google Drive searches to find new sources for research topics, supporting fast or deep exploration modes.MIT
- Conduct deep, multi-source research on complex topics, delivering comprehensive answers with numbered citations for literature reviews and investigative queries.MIT
- Conduct deep web research by crawling and analyzing multiple sources with LLM to answer complex queries requiring in-depth analysis.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-agent research on any topic, spawning parallel subagents for comprehensive coverage and producing a cited report with adaptive stopping.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
Autonomous deep research reports merging PSFK trend graphs with citable sources.
Trend, stats & insight search across PSFK expert graphs with citable sources.
- Conduct deep multi-source research on any topic to produce a structured report with key findings, entity map, and information gaps.MIT
- Conduct deep multi-source research for literature reviews, comprehensive overviews, and investigative queries. Returns detailed responses with numbered citations.MIT
- Decompose a research topic into sub-questions and launch parallel web-search workers that write markdown reports and digests to disk, enabling deep research pipelines.MIT
- Plan and execute deep web research: search multiple sources, cross-verify facts, and return a citation-backed answer. Ideal for current information, evidence verification, and multiple perspectives.MIT
- 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
- Perform exhaustive multi-source research on complex topics, delivering detailed, cited answers. Designed for literature reviews, comprehensive overviews, and investigative queries.MIT
- Conduct deep web research on complex queries using intelligent crawling, search, and LLM analysis to generate comprehensive insights from multiple sources.MIT
- Conduct deep web research on complex queries using intelligent crawling, search, and LLM analysis to generate comprehensive insights from multiple sources.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
- Start deep research asynchronously for complex queries to avoid connection timeouts. Receive a task ID immediately, then poll research status to retrieve the final result.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
- 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
- Find Substack publications by name or topic. Get the canonical host required for research tools to handle publications on custom domains.MIT
- Initiate a deep research analysis by submitting a query. Returns an interaction ID for tracking and asynchronous result retrieval.MIT