Run Google searches through ScrapeUnblocker to retrieve organic results as structured JSON, enabling URL discovery before fetching pages.
MIT
478,118 tools. Updated 2026-08-26 03:09
"A server for Google search and web fetching" matching MCP tools:
- Locate project sections by name or search criteria using server-side search, retrieving only matching sections instead of loading all.MIT
- Retrieve current connection status, latency, and version details for Memory Server, RAG Server, and Google services to verify service availability.MIT
- Search job listings with a custom payload to retrieve normalized, structured results parsed from public Google Jobs web responses, enabling quick job data extraction.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. Choose between fast or deep search modes to gather relevant information for your notebook.MIT
Matching MCP Servers
- FlicenseAqualityCmaintenanceA Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.262
- FlicenseNot 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.
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.
- 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
- 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.
- 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
- Discover available Google Search Console tools and authentication status before running any queries. Provides a quick overview of server options to guide your next action.MIT
- Change the AI model used for web search and content fetching, with persistent settings across sessions.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 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
- Search the web across DuckDuckGo, Bing, Google, and Baidu. Returns titles, URLs, and snippets for each result; no API key required.MIT
- Perform comprehensive web searches to extract and consolidate full content from top results using advanced content extraction for thorough research.MIT
- Search the web and get structured results (URLs, titles, snippets) using a programmable Google-like tool with filters for time and location.MIT
- Start a local web server to interactively explore indexed code documentation through chat, search, and a codemap explorer.MIT