"How to use Google Search effectively" matching MCP servers:

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

An MCP server that gives local LLMs access to Google search, live feeds, YouTube transcriptions, OCR, and more — all without API keys, using headless Chromium and open-source models.

Secure MCP server for Google Search Console. Query search analytics (clicks, impressions, CTR, position), manage sitemaps, inspect URL indexing status, and manage site properties.

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.

Control a real iPhone or iOS Simulator through a macOS daemon and XCTest runner over USB or Wi-Fi: read screen text, tap, type, swipe, inspect logs and replay flows with explicit outcomes. Browser sandbox: use readonly to inspect 12 preloaded flows without a phone. Reuse an existing sandbox from MCP Deployments, or delete it before starting another. Device control needs your Mac and iPhone.

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.

An MCP server that lets an AI agent use a real terminal the way a person does: type, press keys, click, read the screen, take a screenshot.

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.

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.

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

Legacy MCP server for Google Search Console data, now superseded by the unified google-seo-mcp-claude-code suite.

Enables MCP clients to query Google Search Console search performance, inspect indexing, analyze sitemaps, and run SEO analyses such as cannibalisation detection, query clustering, and wins/losses, all with read-only access.

Enables agents to interact with CLI applications like vim, htop, and gdb by sending key inputs and capturing terminal output through tmux sessions.

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.

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

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 Claude to see and control a real Android phone via MCP, reading the accessibility tree to tap, type, navigate, launch apps, and diagnose connectivity over ADB or cellular.

Enables coding agents to observe and control an authorized Android phone over ADB through MCP tools and a JSON CLI. It supports UI inspection, screenshots, taps, swipes, typing, key presses, app listing, and launching.

Connects Google Search Console to AI assistants, enabling SEO data analysis through natural language conversations.