Retrieve parsed Google Search results as structured JSON. Get organic results, ads, knowledge panels, and pagination for any query without scraping HTML.
MIT
704,454 tools. Updated 2026-10-26 08:17
"A server for Google search and web fetching" matching MCP tools:
- Find the right web-data endpoint by keyword or service. Returns matching fetcher.sh endpoints with paths, descriptions, and per-call prices to guide further data fetching.MIT
- Search the web via Brave or Google and return structured results with titles, URLs, snippets, and dates. Access with x402 wallet auth or an API key.MIT
- Run a Google search through ScrapeUnblocker and return the organic results as structured JSON. Use this to discover URLs before fetching them.MIT
- Switch the default AI model for web search and content fetching, with the setting saved for future sessions. Use to compare model performance or adjust preferences.MIT
- Runs web queries against a Google Programmable Search Engine, returning ranked results, snippets, metadata, and pagination. Supports language, country, date, site, and safety filters.MIT
Matching MCP Servers
- FlicenseAqualityCmaintenanceA Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.26 npm2-
- AlicenseNot gradedqualityBmaintenanceMCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.MIT
Matching MCP Connectors
Google Web Search: Google Web Search API. Search the world’s information, including webpages.
google search: google web search api, web, images, videos, news, music, favicon, proxy, audio.
- Perform precise web searches with advanced filtering, incorporating Google search operators and time-based parameters for accurate, time-sensitive results using Firecrawl.MIT
- Initiate web or Google Drive searches to discover new sources for research projects, supporting both fast and comprehensive search modes.MIT
- Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.MIT
- Initiate web or Google Drive searches to find new sources for research topics, supporting fast or deep exploration modes.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
- Generate a real-time market or technical intelligence brief from live Google Search results, returned as structured JSON with an executive summary, key developments, sentiment, and cited sources.MIT
- Search web or Google Drive to find new sources for a notebook. Use fast mode for quick results or deep mode for thorough research.MIT
- Search web or Google Drive to find new sources. Initiate fast or deep research to gather sources for your notebook.MIT
- Search the web and obtain concise result snippets without fetching full pages. Ideal for quick lookups when you only need brief information, avoiding the overhead of a comprehensive search.MIT
- Start a web or Google Drive search to find new sources for fast or deep research, then poll status and import results into NotebookLM.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
- Change the AI model used for web search and content fetching, with persistent settings across sessions.MIT
- Executes a Google query in a JavaScript-rendered Chrome browser and returns structured search results. Pair with URL fetching to extract full text from promising pages.MIT
- Search the web using Google AI Mode to get a synthesized answer with sources from current web pages, news, and data.MIT
- Search the web using Google AI Mode to get a synthesized answer with sources in real time.MIT