"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.

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 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.

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

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.

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

Multi-account X (Twitter) automation that drives a real Chrome session with your own cookies, so no X API key is needed. 32 tools for posting, replies, search, engagement, and media, with draft approval on by default.

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.

Legacy MCP server for Google Search Console data, now superseded by the unified google-seo-mcp-claude-code suite.

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

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

Read-only MCP server for Google Search Console, with browser-based OAuth flow and local token storage, enabling querying search analytics, site lists, and URL inspection.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables Claude Code to manage Gmail, Google Calendar, and Google Drive via a dedicated Google account, keeping personal data separate.

Wraps the local agy CLI into an MCP server to provide a web_search tool that enables Claude Code to perform real internet searches through Gemini/Google.

Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.

Pay-per-use semantic web search for AI agents. Powered by SearxNG, agents pay in sats via Lightning Network micropayments — no API keys required.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.