Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.
MIT
307,274 tools. Last updated 2026-07-17 04:19
"A server for conducting 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
- 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
- Initiate a deep research analysis by submitting a query. Returns an interaction ID for tracking and asynchronous result retrieval.MIT
- Conduct deep multi-source web research on any question.MIT
- Creates a structured research plan for a given topic, outlining steps, tool order, and output paths with configurable depth (quick, standard, or deep).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
- Initiate an asynchronous deep research task for complex queries. Returns a task ID immediately; use pplx_research_status to retrieve results.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.
- 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
- Automatically creates a research workspace with library, agents, and workflows. Provide a topic and optional depth to get started without manual setup.MIT
- Assess a signal with AI remote sensing: get recommendations for sensors, observation targets, and collection windows. Choose quick or deep analysis.Apache 2.0
- Initiate comprehensive AI-powered research for complex queries by performing web searches, analyzing information, and synthesizing detailed reports with critical thinking.MIT
- Permanently remove a deep link and its associated click history using the link's unique ID.MIT
- Deep-clone a template into a destination team, copying all configurations and content for reuse in another workspace.MIT
- Generate comprehensive equity research reports with company profiles, financial analysis, recent signals, and investment narratives in one call for rendering.MIT
- Clone an existing autouser into a specified team, creating a deep copy for reuse in different evaluation contexts.MIT
- Clone an existing session with a deep copy of its document to a new session for independent editing or versioning.Apache 2.0
- Aggregate and synthesize investment research from multiple data sources to analyze market intelligence, competitive landscapes, and financial impacts.MIT