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604,444 tools. Updated 2026-09-23 20:43

"Deep Research on MCP (Master Control Program or Related Topic)" matching MCP tools:

  • Retrieve change-control history for tracked PLC programs: list all programs or view snapshots with hashes, timestamps, and notes for one program.
    MIT
  • Conduct deep research: split a topic into coverage objectives, generate queries, answer from public digital libraries, and recurse until covered or time runs out. Returns citations and insights.
    MIT
  • Discover top and rising Google Trends topic entities related to a seed keyword to expand your topic research and identify emerging interests.
    MIT
  • Search NSF research awards by keyword, principal investigator, institution, or program to retrieve award titles, PI names, funding amounts, and dates.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.
    17
    MIT

Matching MCP Connectors

  • 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
  • Conduct deep multi-agent research on any topic, spawning parallel subagents for comprehensive coverage and producing a cited report with adaptive stopping.
    MIT
  • Conduct deep multi-source research on any topic to produce a structured report with key findings, entity map, and information gaps.
    MIT
  • Research a topic in depth by aggregating briefs, entities, timelines, and related data. Use to gather comprehensive background before answering complex questions, returning raw context instead of a synthesized answer.
    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
  • Kick off a long-running deep research run on a topic and get thread/run IDs plus a polling URL; fetch cited findings on completion.
    MIT