Skip to main content
Glama
306,570 tools. Last updated 2026-07-25 13:38

"Using SearxNG for Deep Research" matching MCP tools:

  • Query multiple search engines simultaneously using searXNG to aggregate results from Google, Bing, DuckDuckGo, and more. Access comprehensive web information even offline, simplifying efficient research.
    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
  • Search the web privately using a self-hosted SearXNG instance with local ML reranking, domain filtering, and result caching.
    MIT

Matching MCP Servers

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

  • Perform deep web searches to find current information, research topics, or answer questions using real-time data from multiple search providers.
    MIT
  • Perform web searches across multiple search engines aggregated by SearXNG, with options to filter by categories, languages, time ranges, and safe search levels for comprehensive results.
    MIT
  • Conduct exhaustive research on any topic, synthesizing information from multiple sources for comprehensive analysis and literature reviews.
    MIT
  • Ask follow-up questions on a completed Deep Research report by passing the interaction ID. Synchronous tool returns fast answers using original research context.
    MIT
  • Analyzes research papers by extracting key findings, providing critical evaluation, and placing them within the broader academic landscape for literature reviews and deep understanding.
    Apache 2.0
  • Perform deep buyer persona research for a market pipeline using 25-35 web searches. Discover insights to transform ideas into revenue.
    MIT
  • Conducts in-depth analysis and generates detailed research reports on complex topics using advanced AI models for comprehensive investigation.
    MIT
  • Analyze and enhance research on any topic using advanced AI models, providing detailed insights and context for informed decision-making and knowledge expansion.
    MIT
  • Search the web using DuckDuckGo, Brave, or SearXNG with options for time range, domain filtering, and content retrieval.
    MIT