A Node.js tool based on Playwright that can bypass search engine anti - scraping mechanisms to perform Google searches and extract results. It can be used as a command - line tool or an MCP server to provide real - time search capabilities for AI assistants.

This project provides an MCP server for deploying code to Google Cloud Run services, supporting deployment from various sources such as AI-assisted IDEs, AI assistant applications, and proxy SDKs.

This project is an MCP server for deploying code to Google Cloud Run, supporting deployment through AI agents, IDEs, and assistant applications.

An MCP server that provides AI assistants with the ability to interact with Google services, supporting Gmail, Calendar, Drive, and Search functions

SearchAPI-MCP-Server is a search API server based on the MCP protocol, providing a standardized access interface to services such as Google Search, Maps, Flights, and Hotels, serving as a bridge between AI assistants and search services.

Google Calendar MCP Server is an integrated service that connects the Claude desktop assistant with Google Calendar, enabling the viewing, creation, update, and deletion of calendar events through natural language interaction.

An MCP server implementation designed for Google Dialogflow CX, providing seamless integration between AI assistants and Dialogflow CX.

An MCP server based on the Gemini API and Google Search, which provides intelligent answering functions for the latest information when used in conjunction with an AI assistant (such as Cline).

The GCP MCP Server is a standardized AI assistant interface for querying and managing Google Cloud Platform resources

A server that implements the MCP protocol, allowing AI assistants to create and manage calendar events through the Google Calendar API, supporting OAuth2 authentication and event management functions.

The LangExtract MCP Server is a FastMCP - based server that extracts structured information from unstructured text through the Google Gemini model, providing text information extraction capabilities for AI assistants such as Claude Code and supporting smart caching and persistent connections.

GCP MCP is a service protocol that allows AI assistants to manage Google Cloud Platform resources through natural language interaction

The PageSpeed MCP Server is a bridge that connects AI assistants with the Google PageSpeed Insights API, providing website performance analysis capabilities.

Google Scholar MCP Server is an interface service that provides AI assistants with access to academic papers on Google Scholar through the Model Context Protocol (MCP). It supports keyword search, advanced retrieval, and author information query functions to help AI models retrieve academic paper metadata.

Gemini Bridge is a lightweight MCP server that connects AI programming assistants to Google Gemini AI through the official CLI, supporting multi - client interaction without API costs.

A modern MCP server implementation that provides web search and research paper analysis functions for AI assistants through the Brave Search API and Google's Gemini model.

The MCP travel assistant server integrates Google Travel services and the Amadeus Global Distribution System, providing a comprehensive travel planning solution, including flight, hotel, activity search, and utility tools.

An MCP server based on the Gemini API and Google Search, providing real - time information query functions for AI assistants

A Google Calendar service implementing the MCP protocol, supporting AI assistants to manage calendar events

The ChatterBox MCP Server is a model context protocol service that enables AI assistants to join online meetings (Zoom, Google Meet, Teams), capture meeting transcripts and recordings, and generate meeting summaries.

An intelligent to - do application that combines an AI assistant with Google Calendar, supports natural language interaction and multilingual operation, and provides task management and schedule synchronization functions.

A proof - of - concept project for a server implementing the Model Context Protocol (MCP), providing custom tools and resources to enhance the capabilities of AI assistants, including document search, web page crawling, and Google Search API integration.

This project demonstrates how to use Google's ADK (Agent Development Kit) and MCP (Model Context Protocol) to build a YouTube search assistant powered by Gemma 3, supporting natural language queries and formatted search results.

A server that provides access to Google Classroom data for AI assistants such as Claude via the MCP protocol

An enhanced MCP server that connects AI assistants such as Claude to Google Docs for document reading, writing, formatting, and structured operations.

The PageSpeed MCP Server is a bridge that connects AI assistants with the Google PageSpeed Insights API, providing website performance analysis functions for AI models, including core performance indicators, SEO evaluation, accessibility audits, and resource optimization suggestions.

Nexus MCP is a powerful personal assistant server that integrates Google Calendar, Obsidian notes, Trello boards, and web page parsing functions, providing a unified digital life management interface through FastMCP construction.

An MCP server based on the Google Custom Search API that provides web and image search capabilities for AI assistants and integrates with AI assistants such as Claude through the standardized MCP protocol.

An implementation of an MCP server integrated with Google Sheets that allows AI assistants to directly access and modify spreadsheet data, supporting natural language interaction with sheets via Claude.

This project is a Google Image Search MCP Server based on SerpAPI, which provides image search, download, and analysis functions to help AI assistants obtain relevant image resources.

searchapi-mcp is an MCP server that provides AI assistants with the ability to access the searchapi.io API, supporting search functions such as Google Maps, flights, and hotels.

This project implements a Model Context Protocol (MCP) server for Google API, supporting integration with AI assistants and other MCP-compatible clients, and providing web search and image search functions.

The Vonage AI Code Assist MCP Server is a tool based on the FastMCP framework, specifically designed to help developers quickly query Vonage API documentation, and achieve precise search and content extraction through the Google Serper API, facilitating AI assistants to integrate Vonage development resources.

An MCP server based on FastAPI for obtaining Wikipedia summaries, supporting AI assistant interaction, and can be quickly deployed via Google Colab and Ngrok.

The Windows-compatible version of the Gemini MCP tool, which fixes cross-terminal compatibility and response format issues, and supports AI assistants to interact with Google Gemini CLI via the MCP protocol

MCP Server for Spanner is a protocol server for connecting to Google Cloud Spanner databases, supporting the execution of SQL queries, data updates, and table structure operations. It is mainly used for the interaction between AI assistants and databases.

An MCP server that integrates with the Google Docs API, supporting functions such as document creation, reading, updating, and management, providing seamless Google document operation capabilities for AI assistants.

Nexus MCP is a multi - functional personal assistant server that integrates functions such as Google Calendar, Obsidian notes, Trello boards, and web page parsing to manage digital life through a unified interface.

This project is a series of MCP servers based on SerpAPI and YouTube, providing AI assistants with various search functions, including Google Search, News, Scholar, Trends, Finance, Maps, Images, as well as YouTube Search and caption retrieval.

MCP is an open - source protocol developed by Anthropic, aiming to provide a standardized way for AI models to interact with external data sources and tools. The project implements functions such as weather queries, Google automatic searches, and camera control. It is highly configurable and suitable for scenarios such as intelligent assistants and automated workflows.