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133,413 tools. Last updated 2026-05-25 15:25

"Using SearxNG for Deep Research" matching MCP tools:

  • Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.
    MIT
  • Perform deep web searches to find current information, research topics, or answer questions using real-time data from multiple search providers.
    MIT
  • Retrieve Turkish legal documents by ID from Supreme Court, Council of State, Constitutional Court, and Public Procurement Authority databases for ChatGPT Deep Research analysis.
    MIT

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  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • MCP server for academic research data including scholarly papers, citations, research trends, and publication metadata for AI agents.

  • 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
  • Perform deep reasoning and complex analysis by automatically routing to optimal AI capabilities for multi-step problem-solving and research questions.
  • Search the web using SearXNG, aggregating results from over 200 engines with privacy. Use categories to focus on specific content types or specify engines for precise sources.
    MIT
  • Retrieve enabled search engines and categories from your SearXNG instance to plan targeted searches before executing any query.
    MIT
  • Enter partial keywords to receive query suggestions from SearXNG. Use these to discover relevant search terms before a full search.
    MIT
  • Analyze suspicious files for malware using REMnux tools. Detects file type automatically and runs appropriate analysis tools with configurable depth levels for triage or comprehensive investigation.
    GPL 3.0
  • Generate harmonious color palettes using a deep-learning model, returning 5 colors with RGB and hex codes for design projects.