"A search engine query for Google" matching MCP servers:

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

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

MCP server for Google Search using a logged-in browser profile, delivering personalized, ad-free results with advanced operators and pagination. It also fetches web pages as markdown through the same browser session.

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

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.

A stdio MCP server that provides a single tool to query Gemini with Google Search grounding for current web information, returning synthesized answers with source links.

Google Search Console for agents: search analytics by query, page, country, and device, plus a striking-distance report for queries ranking just off page one. Also lists, submits, and removes sitemaps and inspects URLs for index status, last crawl, and canonical.

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.

This MCP server provides tools to query Google Search Console data, including search analytics, URL inspection, sitemap management, and site listing. It enables AI assistants to retrieve SEO performance metrics and manage sitemaps through natural language.

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

Official aviation data MCP by Flight Master DAST (航班管家 DAST), providing flight status, route search, onboard comfort, delay and cancellation risk, airport weather forecasts, and real-time or historical flight trajectories.

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 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.

Connects AI assistants to a site owner's search performance data, letting them ask in plain language about clicks, queries, pages, indexing and sitemaps and get back structured results. Runs locally with your own credentials, read-only by default, and validates requests up front so the API's silent empty-result and terse-error quirks are caught before they mislead.

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.

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 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.

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.