Retrieve questions and answers from a Google Business Profile, including authors, dates, and upvotes. Each request costs 1 credit.
MIT
133,589 tools. Last updated 2026-05-25 11:45
"Using Google Search to Generate Answers" matching MCP tools:
- Search the web using Google to find information, websites, and answers to queries without requiring an API key.MIT
- Search for academic research articles using Google Scholar to find relevant medical and scientific publications for research purposes.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
- 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
Matching MCP Servers
- AlicenseBqualityCmaintenanceEnables 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
- FlicenseAqualityBmaintenanceAn MCP server that provides Google Search functionality with automatic API key rotation and intelligent quota management, enabling natural language search queries with advanced filtering options.Last updated1231
Matching MCP Connectors
Scrape Google search results with SERP data, ads, and knowledge panels
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.
- 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
- Search uploaded documents using RAG to find answers with citations. Ask questions to retrieve information from your knowledge base.MIT
- Generate answers to questions by combining web search with AI language model capabilities.MIT
- Search for information using Google search API to retrieve relevant web results based on your query parameters.JavaScriptMIT
- Generate text using Google Gemini AI models with options for model selection, system instructions, temperature control, JSON output, and safety settings.MIT
- Search the web using Google Custom Search with options to filter by site, date, file type, language, and more. Control result count and safe search settings.MIT
- Generate text content using Google Gemini AI models with options for structured JSON output, conversation context, and search grounding.MIT
- Find Google search results with privacy protection using Startpage. Specify query, language, time range, and max results for your search.MIT
- Generate conventional commit messages from structured answers to commit questions, providing validation status for proper formatting.
- Generate text responses using Google Gemini AI models by providing prompts, with options to specify model and token limits for tailored outputs.
- Fetch Google AI Overview response (answer text, sources, subtopics) using a pageToken from Google SERP API for SEO citation tracking and fact-checking.MIT
- 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
- Search the web using SearXNG, aggregating results from over 200 engines with privacy. Use categories to focus on specific content types or specify engines for precise sources.MIT