"How to use Google Search" matching MCP servers:

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

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.

This MCP server enables AI assistants to search the Google Fonts catalogue, retrieve detailed font metadata, generate live HTML text previews, and obtain embed code for use on web pages.

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.

Read-only MCP server for Google Search Console: performance queries, URL inspection, indexing checks, sitemaps, and one-call HTML SEO audit reports.

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.

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.

Enables any MCP-compatible AI client to search the live web via Google's Custom Search JSON API, returning top results with titles, links, and snippets.

Enables users to perform Google Custom Search queries through the Model Context Protocol. Requires Google API credentials and Custom Search Engine configuration for web search functionality.

Enables MCP clients to query Search Analytics metrics, list and inspect properties and sitemaps, and inspect indexed URLs with secure authentication and optional allowlisted write controls.

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.

Provides AI agents with read-only access to Google Search Console data, including search analytics, index coverage, and sitemap status. It enables users to query clicks, impressions, and ranking performance or check URL indexing status through natural language.

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.

Connects Google Search Console to AI assistants, enabling natural language queries for SEO data, indexing audits, sitemap management, and full site audits.

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

Wraps the full Google Search Console API v1 so LLMs can query search performance data, inspect URL indexing status, and manage properties and sitemaps. Also adds task-shaped tools for common questions like top queries, top pages, period comparisons, and bulk inspections, with optional read-only mode.

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.

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.

An MCP server that enables AI models to perform Google Web searches using the Gemini API, complete with citations and grounding metadata for accurate information retrieval. It is compatible with Claude Desktop and other MCP clients for real-time web access.

Provides web search capabilities using Google Custom Search API, enabling users to perform searches through a Model Context Protocol server.

A Model Context Protocol server that enables LLMs to perform web searches using Google's Custom Search API through a standardized interface.

A Model Context Protocol server that enables LLM clients like VSCode, Copilot, and Claude Desktop to search the web using Google Programmable Search Engine API.

MCP server for Google Search Console API that enables querying search analytics, managing sites, inspecting URLs, and supporting domain delegation via service accounts.

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

Enables AI clients to query search analytics, inspect URLs, and manage sitemaps and properties via OAuth2 using official Google APIs.

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

Provides programmatic access to Google Search Console API data through Claude Code and Cursor, enabling search analytics, sitemap info, URL inspection, and indexing submission.

Use Tavily Search to search for news pages or images.

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.

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

Enables interaction with Google Search Console via MCP, offering search analytics, performance summaries, URL inspection, sitemap management, and property listing for SEO workflows.

Enables Claude AI to query Google Search Console data and manage properties via OAuth 2.0 authentication, eliminating the need for API keys.

Lets AI assistants analyze search performance, inspect URLs and indexing issues, and manage sitemaps through read/write actions, with destructive operations disabled by default.

An MCP server for searching Google Scholar, enabling paper search, author lookup, citation tracking, and BibTeX export for AI assistants and automation workflows.

Enables MCP clients to work with webmaster search analytics, sitemaps, and URL inspection once the Google API integration is implemented, though the current scaffold does not yet call Google.

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.