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741,773 tools. Updated 2026-11-04 09:00

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

  • Search the local knowledge base to retrieve relevant information. Returns top matching knowledge cards with scores and content. Use to find existing knowledge before conducting web research.
    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
  • Initiate research on a notebook using web or Drive sources. Fast mode delivers sources in seconds; deep mode provides thorough analysis in 15-30 minutes.
    MIT
  • Search multiple engines, deduplicate and rank results, fetch top pages, and synthesize a cited markdown report for thorough multi-source research.
    MIT

Matching MCP Servers

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    maintenance
    Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.
    21
    Apache 2.0
  • A
    license
    A
    quality
    A
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    Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.
    10
    MIT

Matching MCP Connectors

  • Initiate web-based login to access Notlai notes. Starts a local authentication server and provides a URL for web-based authentication.
    MIT
  • Automate browser tasks using OpenAI's model to perform web interactions like form submissions, navigation, and data extraction through structured reasoning.
    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
  • Conduct in-depth web research by submitting a question, keywords, and topic. Supports multiple search rounds and reference materials.
    MIT
  • Generate structured research reports from natural language queries. Specify a report type to receive a summarized synthesis of web research findings.
    MIT
  • Conduct comprehensive web research using Tavily Search and Crawl, generating aggregated JSON data with detailed findings, search summaries, and markdown formatting instructions.
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  • Retrieve a full application guide by its slug. Returns sections, action items, and linked principles. Use when you have the slug from prior tools.
    MIT
  • Perform AI-powered web searches to extract structured data from search results for research, competitive analysis, and multi-source information gathering.
    MIT
  • Creates an AI-powered interview guide for a study section using the study's objectives and persona, returns the guide in markdown for review.
    MIT