Get AI-generated answers to complex questions using web content. Choose search modes for academic, forum, wiki, or deep analysis responses with adjustable detail levels.
Apache 2.0
213,524 tools. Last updated 2026-06-19 18:31
"Instructions for using Google search to generate answers" matching MCP tools:
- Get AI Mode SERP results from Google Search with Gemini-generated conversational answers, cited sources, and follow-up suggestions. Use for lead enrichment, people search, and content research.MIT
- Generate an optimized Boolean search query for Google Patents from a natural-language invention description. Returns only the query string, without executing the search.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
- Generate text responses grounded in current Google Search results to provide up-to-date, cited information for user queries.MIT
- Retrieves answers to natural language queries using Google Search, processes them with Vertex AI models, and saves the results to a specified file path for easy access and storage.MIT
Matching MCP Servers
- FlicenseAqualityCmaintenanceA Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.Last updated262
- AlicenseBqualityDmaintenanceEnables Large Language Models to perform real-time web searches using Google Custom Search API. Integrates with Claude Desktop to retrieve current information from the internet.Last updated1MIT
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
- Query Gemini with Google Search grounding to retrieve answers and cited URLs, simulating AI Overview citations for SEO analysis.MIT
- 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
- Retrieve step-by-step instructions for creating new FlyonUI blocks using existing blocks. Use when generating components or entering /create-flyonui or /cui.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 or specific websites using Google Custom Search with filters for date, file type, language, and more. Provide query and Google email to get tailored results.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
- Generate videos from text prompts or reference images/videos using Google Veo. Optionally wait for completion and download the generated videos.MIT
- Generate agent instructions for tasks using a hierarchical template resolution system that prioritizes task-specific, task list, project, and fallback templates.MIT
- Search files in Google Drive using Google's search syntax. Filter by type, order, and include trashed files.MIT
- Search for academic research articles using Google Scholar to find relevant medical and scientific publications for research purposes.MIT
- Generate text using Google Gemini AI models with options for model selection, system instructions, temperature control, JSON output, and safety settings.MIT