MCP Servers for Google

Google is a technology company that specializes in Internet-related services and products, which include online advertising technologies, a search engine, cloud computing, software, and hardware.

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  • Why this server?

    Allows querying Google Search through the search tool that returns cleaned content from search results as Markdown

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    Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.
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    TypeScript
    Apache 2.0
    • Apple
  • Why this server?

    Integrates with Google Search through the Google Search Results Scraper to scrape Google Search Engine Results Pages (SERPs).

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    Use 3,000+ pre-built cloud tools from Apify, known as Actors, to extract data from websites, e-commerce, social media, search engines, maps, and more
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    TypeScript
    Apache 2.0
    • Apple
  • Why this server?

    Enables performing searches on Google through a dedicated search tool that navigates to Google's search interface and enters query text.

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    Enables LLMs like Claude to navigate the web through Puppeteer-based tools and Steel. Based on the Web Voyager framework, it provides tools for all the standard web actions click clicking/scrolling/typing/etc and taking screenshots.
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    24
    JavaScript
    MIT License
    • Apple
  • Why this server?

    Provides web search capabilities via Serper API with rich search results, including organic results, knowledge graph, 'people also ask', and related searches from Google.

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    This Serper MCP Server supports search and webpage scraping, and all the most recent parameters introduced by the Serper API, like location.
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    TypeScript
    MIT License
    • Apple
  • Why this server?

    Allows searching for general web information through Google search engine

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    A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.
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    4
    Python
    Apache 2.0
  • Why this server?

    Provides Google Jobs search capabilities through SerpAPI integration, allowing users to search for job listings with various filters including job title, location, employment type, salary range, and more.

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    A Model Context Protocol server that provides Google Jobs search capabilities through SerpAPI integration, featuring multi-language support, flexible search parameters, and rich job details.
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    JavaScript
    MIT License
  • Why this server?

    Allows connecting to and interacting with Google Firestore databases, including basic database operations (though limited due to Firestore's NoSQL nature).

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    A powerful Model Context Protocol (MCP) tool for exploring and managing different types of databases including PostgreSQL, MySQL, and Firestore.
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    TypeScript
    MIT License
  • Why this server?

    Performs Google searches with intelligent queuing, rate limiting, and parallel search capabilities to gather information from the web

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    The MCP Web Research Server enables real-time web research with Claude by integrating Google search, capturing webpage content and screenshots, and tracking research sessions.
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    TypeScript
    MIT License
    • Apple
  • Why this server?

    Integration with Google's Gemini language models via their API for AI-driven browser automation

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    Facilitates browser automation with custom capabilities and agent-based interactions, integrated through the browser-use library.
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    MIT License
    • Apple
  • Why this server?

    Included as one of the search engines that SearXNG queries for results, configured with the shortcut 'g'.

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    This server provides a privacy-focused meta search capability by integrating multiple search engines without tracking or user profiling, supporting various categories and languages for filtered searches.
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    JavaScript
    MIT License
  • Why this server?

    Enables executing Google searches and extracting structured results, supporting both web and news results with configurable output formats.

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    A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.
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    TypeScript
    MIT License
  • Why this server?

    Enables searching the web using Google Search to retrieve up-to-date information

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    Utilizes Gemini API and Google Search to generate answers based on the latest information for user queries.
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    JavaScript
    MIT License
  • Why this server?

    Allows sending requests to Google AI models using the Unichat MCP server

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    Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required. Both STDIO and SSE transport mechanisms are supported via arguments.
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    TypeScript
    MIT License
    • Apple
  • Why this server?

    Allows performing web searches using Google Custom Search API, returning structured results with title, link, and snippet.

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    Provides web search capabilities using Google Custom Search API, enabling users to perform searches through a Model Context Protocol server.
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    JavaScript
    MIT License
    • Apple
  • Why this server?

    Allows sending requests to Google AI models via the MCP protocol

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    Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required
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    Python
    MIT License
    • Apple
  • Why this server?

    Allows searching Google and extracting search results to provide information to Claude

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    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.
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    MIT License
    • Apple
  • Why this server?

    Allows to perform web searches using Google Custom Search Engine. The server enables LLMs to provide a regular Google search term and returns the found search results (title, link, and snippet for each result).

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    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.
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    The Unlicense
  • Why this server?

    Enables integration with Gemini models from Google as an AI provider for summarization capabilities

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    Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.
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    TypeScript
    MIT License
  • Why this server?

    Allows performing Google searches and extracting results through the search_google tool

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    A Model Context Protocol (MCP) server for web research. Bring real-time info into Claude and easily research any topic.
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    176
    JavaScript
    MIT License
    • Apple
  • Why this server?

    Enables web search capabilities through Google's Custom Search API, allowing users to retrieve search results with titles, URLs, and descriptions.

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    A Model Context Protocol server that enables LLMs to perform web searches using Google's Custom Search API through a standardized interface.
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    TypeScript
    MIT License
  • Why this server?

    Provides Google search capabilities to AI models through an MCP server interface, allowing for advanced search queries with filtering options for date, language, country, and safe search

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    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.
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  • Why this server?

    Provides Google search capabilities through the Serper API, including knowledge graph information, organic search results, related questions, and the ability to perform deep multi-step research with customizable parameters.

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    Enables integration of Google search functionality into MCP-enabled applications using the Serper API, providing rich search results, configurable parameters, and efficient response handling.
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    TypeScript
    • Apple
  • Why this server?

    Leverages Google's Gemini API to provide analytical thinking capabilities for complex problem-solving without code generation, featuring meta-commentary, confidence levels, and alternative solution paths.

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    An MCP server implementation that leverages Google's Gemini API to provide analytical problem-solving capabilities through sequential thinking steps without code generation.
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    JavaScript
  • Why this server?

    Integrates with Google's Gemini 1.5 Pro model to provide intelligent summarization capabilities for various types of content

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    MCP Server for AI Summarization, Support for multiple content types: * Plain text * Web pages * PDF documents * EPUB books * HTML content
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  • Why this server?

    Includes support for Google API integration as evidenced by the GOOGLE_API_KEY environment variable in the configuration.

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    Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.
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    • Linux
    • Apple
  • Why this server?

    Allows searching the web through Google, providing structured JSON results of search queries through a web scraping interface using Puppeteer.

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    A lightweight, stateless MCP server utilizing Puppeteer for web searches, returning structured JSON results, easily integratable with other MCP-enabled systems.
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    JavaScript
  • Why this server?

    Integrates with Google Search to provide grounded responses to factual questions and current information.

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    The ultimate Gemini API interface for MCP hosts, intelligently selecting models for the task at hand—delivering optimal performance, minimal token cost, and seamless integration.
    TypeScript
    MIT License
  • Why this server?

    Integration with Google search and other Google services

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    Verified
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    Test
    8,937
    MIT License
    • Linux
    • Apple
  • Why this server?

    Enables searching for LinkedIn companies via Google, where the first result is typically identified as the best match.

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    A Model Context Protocol server that provides comprehensive access to LinkedIn data and functionality, enabling data retrieval and user account management through the HorizonDataWave API.
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    JavaScript
    MIT License
    • Apple
  • Why this server?

    Provides structured data from Google search results through the google_search tool, including organic search results, knowledge graph data, and related questions

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    Searching google, individual websites and scraping their content. Fast and cost-effective. ⚡️
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    TypeScript
    MIT License
  • Why this server?

    Integrates with Google Workspace, providing access to Gmail, Calendar, and Drive within a unified interface through authenticated API access

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    Provides authenticated access to Google Workspace APIs with a focus on Gmail operations and planned Calendar support, featuring secure OAuth authentication and multi-account management with detailed error handling.
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    TypeScript
    MIT License
  • Why this server?

    Integrates with Google's Vertex AI Search to enable document searching using Gemini with grounding. Allows querying across one or multiple Vertex AI data stores to retrieve information from private data sources.

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    A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.
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    Apache 2.0
  • Why this server?

    Offers web search functionality through Google Search, requiring configuration of API key and CSE ID in config.json

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    Crawl4AI MCP Server is an intelligent information retrieval server offering robust search capabilities and LLM-optimized web content understanding, utilizing multi-engine search and intelligent content extraction to efficiently gather and comprehend internet information.
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    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Provides Google Custom Search capabilities with advanced filtering, allowing search queries with parameters for trusted domains, excluded domains, result count, safe search, and date restrictions

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    Provides Google search capabilities, web content extraction, and screenshot functionality with advanced bot detection avoidance through the MCP protocol.
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    MIT License
    • Apple
    • Linux
  • Why this server?

    Enables deployment on Google Cloud Platform (GCP) and includes search functionality using Google through the Search tool integration.

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    Facilitates high-performance multi-client processing by integrating advanced automation tasks with V2 agents and ensuring seamless execution of LLM calls and human-like computer interactions.
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    Python
    MIT License
  • Why this server?

    Enables deployment on Google Cloud Platform (GCP) and includes search functionality through tools like Search

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    Facilitates high-performance multi-client processing, enabling scalable task execution and integration of advanced agents for automation in real-world applications.
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    Python
    MIT License
  • Why this server?

    Supports deployment on Google Cloud Platform (GCP) and includes a Search tool for performing Google searches.

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    Facilitates multi-client processing for high-performance operations within the DigitalFate framework, enabling advanced automation through task orchestration and agent integration.
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    Python
    MIT License
  • Why this server?

    Provides integration with Google's Gemini AI models through Google AI Studio API

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    Model Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini AI models.
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    TypeScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Enables web search functionality using Google to retrieve up-to-date information that can be incorporated into Claude's responses

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    "primitive" RAG-like web search model context protocol server that runs locally. ✨ no APIs ✨
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    Python
  • Why this server?

    Performs searches on Google and retrieves parsed search results pages via SerpApi

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    An MCP server that integrates with SerpApi to retrieve search results from multiple search engines including Google, Bing, Yahoo, and others, enabling fast access to both live and archived search data.
    Python
  • Why this server?

    Provides integration with Google API for calendar management and email functionality, allowing access to events, creating new events, reading and sending emails.

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    A versatile Model Context Protocol server that enables AI assistants to manage calendars, track tasks, handle emails, search the web, and control smart home devices.
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    • Apple
    • Linux
  • Why this server?

    Integrates with Google services and provides AI-powered web search

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    All In One Model Context Protocol: qdrant, google suite (gmail, calendar, ...), jira, gitlab, CLI, ...
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  • Why this server?

    Provides integration with Google's AI models (Gemini) for enhanced context understanding and tool usage

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    Facilitates enhanced interaction with large language models (LLMs) by providing intelligent context management, tool integration, and multi-provider AI model coordination for efficient AI-driven workflows.
    Python
  • Why this server?

    Provides search capabilities through the React Agent tool which can perform Google searches

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    A Model Context Protocol server implementation that integrates Wordware flows as tools directly within Claude conversations, supporting features like founder research, lead enrichment, Notion integration, and task solving with Google search.
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    TypeScript
    • Apple
  • Why this server?

    Provides calendar functionality for listing, reading, and creating events with support for filtering, timezone handling, and attendee management

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    A Model Context Protocol server that enables AI assistants to interact with Gmail services, supporting email operations, draft management, and calendar functionality through Google API integration.
    TypeScript
  • Why this server?

    Integrates with Google's Gemini AI to provide AI-powered assistance for coding problems

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    Provides AI-powered assistance for coding problems using Google's Gemini AI, combined with Perplexity insights and Stack Overflow references, facilitating contextual analysis and automatic response archiving for improved troubleshooting.
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    TypeScript