"How to use Google Search" 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.

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 that lets AI agents perform Google AI Mode searches using the user's own browser session, returning synthesized answers with citations.

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.

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 AI agents like Claude Code, ChatGPT and Cursor to work inside a user's own signed-in Google Search Console account, requesting indexing, submitting URL removals, checking which pages are indexed, and reviewing removal request status. It runs as a real MCP server over stdio or as a hosted connector, forwarding tool calls so no Google Search Console API key or code is needed.

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.

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.

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.

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

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

Enables performing Google searches using the Custom Search Engine API with support for various parameters like date restriction, site search, and file type. Returns search results in a conversational format.

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.

MCP server for Claude Code that provides Google text search, web content extraction, and image search with dual-platform (Google Images + Pinterest) and AI visual analysis with quality scoring.

Performs comprehensive web searches by combining Google search with advanced content extraction using Mozilla's Readability algorithm.

Enables Google search and webpage content extraction via Chrome for macOS, allowing access to both unauthenticated and authenticated content, and integrates with Claude for secure and automated browsing tasks.

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.

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.

A Playwright-based tool that performs Google searches and extracts results while bypassing anti-bot mechanisms, providing real-time search capabilities for AI assistants.

Enables Google web search via MCP, compatible with gemini-cli's google_web_search tool.

An MCP (Model Context Protocol) server that provides Google search capabilities and webpage content analysis tools. This server enables AI models to perform Google searches and analyze webpage content programmatically.

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

Enables web searches across multiple engines (DuckDuckGo, Bing, Google, SerpAPI, Google CSE, Tavily) with no API key required for the free engines, plus automatic fallback, caching, and webpage content fetching.

Enables AI agents to perform web searches using the Brave Search engine, providing an independent alternative to Google/Bing.

A Model Context Protocol (MCP) server for integrating Google Search capabilities into AI applications.

Enables English and Chinese web search through zero-key sources, plus optional paid providers under an explicit routing policy, without requiring an API account to start. Returns compact multi-source results that preserve provenance, provider failures, and bounded evidence budgets so agents can inspect how each result was found.

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.

A Streamable HTTP MCP server that enables Google search capabilities using agy's OAuth session, deployable locally or on Cloudflare Workers/Vercel Edge.

Provides Google search capabilities, web content extraction, and screenshot functionality with advanced bot detection avoidance through the MCP protocol.

A Node.js MCP server providing browser search and web page access capabilities, including Google search, intelligent web analysis, and LLM-powered summarization.

Self-hosted web search and page fetch service using SearXNG metasearch and Scrapling browser rendering, exposing MCP tools for direct agent use.

Enables web search across Bing, DuckDuckGo, and Google using Playwright automation, with tools for retrieving search results and extracting page text content.

Enables AI agents to perform real Google web searches and render web pages for content extraction using a local Chrome browser, with human-in-the-loop CAPTCHA verification, requiring no API keys.

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

A local web search MCP server that uses stealth Chromium to bypass CAPTCHAs and bot blocks, supporting Google and DuckDuckGo with automatic fallback.

Enables AI assistants to perform real-time Google searches with anti-bot protection. Bypasses search engine restrictions using advanced browser automation to extract search results locally without requiring paid API services.

Provides real-time Google search capabilities to AI assistants like Claude, bypassing anti-scraping mechanisms.