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149,432 tools. Last updated 2026-05-28 01:12

"Using Google Search to Find Relevant Content" matching MCP tools:

  • Search documents using semantic understanding to find relevant content based on meaning rather than keywords. Understands natural language queries and returns ranked passages with source information.
    MIT
  • Search and retrieve relevant VoidFeed content using semantic understanding, returning up to 500 results per query based on tier.
    MIT
  • Search for news articles using keywords to find relevant information from Google News. Specify search terms to retrieve news across categories like business, technology, science, and sports.
    MIT
  • Search the web using Google to find information, websites, and answers to queries without requiring an API key.
    MIT

Matching MCP Servers

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    MCP bridge for PDF Content Search — full-text PDF search with Apple Vision OCR across thousands of documents in under a second from Claude, Cursor, or any MCP client. Advanced filters (date, category, sender, amount), wildcards, boolean operators. Bridge open-source (MIT), PDF Content Search app is commercial with free iOS+Android companion scanner apps.
    Last updated
    MIT

Matching MCP Connectors

  • 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.

  • Scrape Google search results with SERP data, ads, and knowledge panels

  • Search for academic research articles using Google Scholar to find relevant medical and scientific publications for research purposes.
    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
  • Aggregate and score Google search results from multiple related queries. Remove duplicates and return top relevant content for comprehensive research.
    Python
    MIT
  • Find OneDrive documents using semantic and keyword hybrid search to discover relevant files by topic when exact names are unknown. Returns file metadata, previews, and URLs for analysis.
    MIT
  • Search the web for specific information across multiple websites and extract content from search results to find relevant answers to queries.
    MIT
  • Perform real-time web searches and scrape content from URLs to find relevant information for research tasks. Supports configurable result counts and search modes.
    MIT
  • Perform real-time web searches and scrape content from URLs using AI-powered search. Configure result counts and search types to find relevant information.
    MIT