"An exploration of Google, the popular search engine." matching MCP servers:

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

Transforms raw Google Search Console signals into actionable marketing insights, such as detecting cannibalization, segmenting search intent, and identifying citation opportunities, for any MCP-compliant AI agent.

Enables 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.

Enables LLMs to perform real-time Google searches and retrieve web results via the MCP protocol.

MCP server for interacting with Google Earth Engine, enabling geospatial analysis such as dataset visualization, statistics computation, and search via AI assistants.

Enables Google search functionality through the Google Custom Search API with enterprise-grade security authentication. Supports streamable HTTP transport protocol for real-time search operations with configurable result limits.

Enables AI assistants to perform web and image searches through a Google Programmable Search Engine, with pagination, language/country filters, and safe search.

MCP server for the Google Search Console API. Enables search performance analytics, sitemap management, URL index inspection, and property management through natural language.

Enables MCP clients to perform live Google searches and retrieve structured SERP data including organic results, AI Overviews, People Also Ask, AI Mode answers, news, shopping, and short-video results via eight read-only tools.

An MCP server that enables AI agents to manage Google Search Console properties, including checking index status, requesting indexing, submitting sitemaps, and pulling search analytics with per-property quota tracking.

Enables Google search with advanced options (date, language, country, safe search) and webpage content extraction via the Model Context Protocol.

Enables comprehensive web and news searches via the Google Custom Search API with integrated content extraction using the Mozilla Readability algorithm. It allows users to perform quick snippet lookups or deep searches that fetch and format full article content into clean markdown.

Enables search capabilities using a Google Custom Search Engine, allowing users to input a search term and retrieve search result titles, links, and snippets, while facilitating integration with other tools for content extraction and advanced search strategies.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Provides advanced Google Custom Search functionality, web content extraction, and specialized research tools such as search analytics, multi-site search, and fact checking. Works as an MCP server compatible with any MCP client.

Enables searching for relevant tables and retrieving data from Microsoft Sentinel's data lake using natural language, supporting security hunting scenarios like password-spray detection and impossible travel checks.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Provides Google Search trend data as an MCP tool, with historical series, growth percentages, and live trending searches, no scraping or rate limits.

A Model Context Protocol server that enables AI assistants to perform web searches using Google Search API, returning up to 20 search results in JSON format.

A Model Context Protocol (MCP) server that provides Google Search functionality with StreamableHTTP transport support.