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205,128 tools. Last updated 2026-06-15 08:46

"Using Google to search and generate answers" matching MCP tools:

  • Retrieve questions and answers from a Google Business Profile, including authors, dates, and upvotes. Each request costs 1 credit.
    MIT
  • Search for academic research articles using Google Scholar to find relevant medical and scientific publications for research purposes.
    MIT
  • Retrieve accurate answers and verify facts by leveraging Gemini 2.0 Flash and Google Search integration. Ideal for general knowledge queries, fact-checking, and detailed information retrieval.
    MIT

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    Enables comprehensive web and news searches via the Google Custom Search API with integrated content extraction using the Mozilla Readability algorithm. It allows users to perform quick snippet lookups or deep searches that fetch and format full article content into clean markdown.
    Last updated
    3
    14
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    MIT

Matching MCP Connectors

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

  • Search Google Scholar for academic papers, citations, and author profiles.

  • Saves precise code snippets or concise answers from official documentation to a specified file, using a Vertex AI model with Google Search for technical queries. Requires topic, query, and output path.
    MIT
  • Generate content with Gemini AI using text prompts, file uploads, Google search, and code execution to create documents, analyze media, and automate tasks.
    MIT
  • Search the web using the 4get meta search engine, returning results with titles, URLs, descriptions, and optional featured answers. Supports pagination via npt token and extended search mode.
    GPL 3.0
  • Answer natural language queries by combining Vertex AI's Gemini model with real-time Google Search results, delivering accurate and up-to-date information on demand.
    MIT
  • Generate text using Google Gemini AI models with configurable parameters like temperature, model selection, and system instructions for tailored responses.
    MIT
  • Generate answers to questions by combining web search with AI language model capabilities.
    MIT
  • Search uploaded documents using RAG to find answers with citations. Ask questions to retrieve information from your knowledge base.
    MIT
  • Search the web using Google Search via Gemini API to find information with sources and citations. Process results with optional instructions for analysis.
    MIT
  • Search for information using Google search API to retrieve relevant web results based on your query parameters.
    JavaScript
    MIT
  • Generate text using Google Gemini AI models with options for model selection, system instructions, temperature control, JSON output, and safety settings.
    MIT
  • Search files in Google Drive using Google's search syntax. Filter by type, order, and include trashed files.
    MIT
  • Search the web using Google to find information, websites, and answers to queries without requiring an API key.
    MIT