"How to perform a 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.

Enables any MCP-compatible LLM to perform AI-powered web research using Google's AI Mode, returning synthesized and cited answers instead of raw search results.

MCP server for Google Search Console API, enabling search performance analysis, URL inspection, sitemap management, and property listing. Supports local, self-hosted, and Cloudflare Workers deployments.

Enables AI apps to manage Google Calendar in plain language, including reviewing schedules, creating and changing events with guests and Google Meet, finding free time, and blocking Out of Office or Focus Time.

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

MCP server for Google Search Console: properties, sitemaps, search analytics and URL inspection

A read-only MCP server that helps customers discover products, select flavors, check inventory and food info, and access official purchase links for Sifang Nuo Mi.

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

An MCP server that provides Google Search functionality with automatic API key rotation and intelligent quota management, enabling natural language search queries with advanced filtering options.

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 AI agents to query and analyze Google Search Console data, including search analytics, URL inspection, sitemaps, and property verification, and to perform actions like submitting sitemaps and adding properties through natural language.

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 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.

Self-hosted Google Search Console MCP server with 20 read-only tools for Google Search Console. Maintained source relocated to get-mcp-ads/google-search-console-mcp-server; npm package remains @getmcpads/google-search-console-mcp-server.

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.

A powerful Model Context Protocol (MCP) server that provides enhanced Google search capabilities with advanced anonymization and anti-detection features.

Enables keyword mining, Search Analytics queries, sitemap management across multiple properties, and URL index inspection through natural language.