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160,070 tools. Last updated 2026-05-29 18:05

"A+guide+to+conducting+thorough+web-based+research" matching MCP tools:

  • Conduct in-depth web research by submitting a question, keywords, and topic. Supports multiple search rounds and reference materials.
    MIT
  • Search a shared research cache to find verified technical answers before conducting web searches, saving tokens by accessing collective knowledge from previous queries.
    AGPL 3.0
  • Perform in-depth research on complex topics using AI agents that search multiple sources, analyze findings, and compile comprehensive reports for thorough investigations.
    MIT
  • Perform targeted web research, generate intelligent suggestions, and store findings in memory for efficient task management. Combines web research with local knowledge caching to enhance research workflow.
    MIT

Matching MCP Servers

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    Comprehensive web research toolkit with 13 tools for searching (via SearXNG), crawling, package discovery, GitHub metrics, error translation, API documentation lookup, data extraction, technology comparison, and service status checking.
    Last updated
    14
    9
    MIT
  • A
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    Enables AI agents to perform web searches via DuckDuckGo without API keys and automate browser tasks with headless Chromium. Supports multi-step research workflows that automatically search and extract content from multiple pages.
    Last updated
    51
    MIT

Matching MCP Connectors

  • Create, edit, preview, publish, and manage web pages from MCP-capable AI clients.

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Conduct comprehensive web research using Tavily Search and Crawl, generating aggregated JSON data with detailed findings, search summaries, and markdown formatting instructions.
  • Extract comprehensive web content, including images, using deep scraping techniques with customizable parameters such as scroll depth, image size, and pagination. Output data to a specified directory for thorough analysis.
  • Perform AI-powered web searches to extract structured data from search results for research, competitive analysis, and multi-source information gathering.
    MIT
  • Search the web and extract full content from top results in one step. Combines multiple sources and removes duplicates for in-depth research.
    MIT
  • Search the web for current information, news, articles, and websites to find up-to-date content, research topics, or answer questions about recent events.
    Apache 2.0
  • Record and organize research steps, track unanswered questions, and explore alternative angles. Use sequential steps to build a complete research trail.
    MIT
  • Run a deep web research task that searches, reads, and synthesizes information. Returns a task ID for polling results.
    Apache 2.0
  • Conduct comprehensive web research on any topic or question by initiating cloud-based investigations that gather and analyze information from multiple sources.
  • Extract and process web content from URLs for data collection, content analysis, and research tasks, supporting multiple formats and extraction depths.
    MIT
  • Autonomously browses the web to find and extract structured data from multiple sources based on your natural language query, handling complex research tasks across the internet.