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260,585 tools. Last updated 2026-07-05 07:35

"A server for deep research and in-depth exploration of topics" matching MCP tools:

  • 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
  • Find transitive dependencies of any file up to a specified depth. Traverses the full dependency tree, mapping files to their depth, to understand deep coupling and plan refactoring.
    MIT
  • Find wallets that experienced a deep realized PnL loss and later recovered to positive. Returns trough depth, current PnL, and recovery amount.
    MIT
  • Retrieve an overview of all tracked research entities, showing claim counts and last update times, to identify topics for deeper investigation.
    AGPL 3.0
  • Find wallets with deep cumulative realized losses that have not recovered, providing trough depth and current PnL for identifying sustained underwater positions.
    MIT
  • Execute deep web research on any topic. An AI agent searches and synthesizes information from across the web, returning a task ID for polling.
    Apache 2.0

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  • 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

  • Find relevant security data from Sentinel data lake for building effective agents. More:aka.ms/s/de

  • Explore in-depth research topics by extracting and analyzing web content with controlled depth, branching, and relevance scoring. Supports real-time web research with structured data integration.
    MIT
  • Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.
    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
  • Switch Perplexity search modes to optimize web research: basic search, deep research, analytics/visualization, or educational exploration. Check current mode without switching.
    MIT
  • Search Turkish court databases via Bedesten and return result IDs, titles, texts, and URLs. Designed for OpenAI Deep Research; call fetch for document bodies.
    MIT
  • Create a research project that persists across sessions. Returns a project_id for subsequent calls. Depth parameter controls exploration from overview (5 docs) to deep (20+ docs with adversarial verification).
    Apache 2.0
  • 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