Search for academic research articles using Google Scholar to find relevant medical and scientific publications for research purposes.
MIT
604,148 tools. Updated 2026-09-23 17:44
"Using Google Search to Generate Answers" matching MCP tools:
- Find Google Docs by name using Drive API to locate documents matching your search query within a secure Google Workspace environment.MIT
- Search the web for cited, current answers using Google Search grounding. Handles real-time data, fact-checking, and documentation with parallel query support.MIT
- Search the web using Google AI Mode to get a synthesized answer with sources in real time.MIT
- Search Google for results from specific sites or domains using Google Custom Search. Filter results by site, set result count, and apply safe search.MIT
- Generates a JPEG image from a text prompt using Google Gemini and saves it to disk. Provide an optional save path to control the output location.MIT
Matching MCP Servers
savantcat-answersofficial
AlicenseNot gradedqualityBmaintenanceEnables AI agents to query China's GB/T 47746—2026 customer-service compliance standard, providing clause-referenced answers, self-check lists, and standard metadata via MCP tools.1MIT- AlicenseAqualityBmaintenanceEnables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.121 npm1MIT
Matching MCP Connectors
google search: google web search api, web, images, videos, news, music, favicon, proxy, audio.
Scrape Google search results with SERP data, ads, and knowledge panels
- 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
- Run a Google AI Mode search using your logged-in Firefox session to get AI-synthesized answers with inline citations and a source list. No API key required.-
- 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
- Search the web using Google's search grounding to retrieve relevant results for your queries.MIT
- Chat with Gemini using modes: search (Google Search + URL context), code (code execution), or all (everything) to get answers, run code, or browse the web.MIT
- Perform web searches and receive formatted results (titles, URLs, snippets) using Gemini's built-in Google Search.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 audio from text prompts with text-to-speech or sound effects using AI providers like OpenAI, Google, and ElevenLabs.MIT
- Fetch up-to-date answers by sending a prompt with Google Search grounding and optional URL context to Gemini.MIT
- Search Google Docs by title using Drive metadata. Filter by account, paginate, and set result limits.MIT
- Generate text using Google Gemini AI models with configurable parameters like temperature, model selection, and system instructions for tailored responses.MIT
- Expand seed keywords into new Google Ads keyword ideas using the Keyword Planner. Provide seed keywords or a page URL to receive relevant suggestions.MIT
- Perform live web searches using Google Custom Search API. Returns top results with titles, links, and snippets for any query.MIT
- Search uploaded documents using RAG to find answers with citations. Ask questions to retrieve information from your knowledge base.MIT