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.

G-Search MCP is a Playwright - based Google parallel search service that supports simultaneous search with multiple keywords and returns structured results.

OmniMind is an open - source Python library designed to simplify Model Context Protocol (MCP) integration and support the development of AI agents, workflows, and automation. It offers plug - and - play functionality, has built - in multiple tools, and provides intelligent responses based on Google Gemini, making it suitable for developers and beginners to quickly build AI applications.

An MCP service that provides market intelligence analysis for the Apple App Store and Google Play Store, supporting multi-dimensional data such as app details, search, developer information, and user reviews.

This project is an OpenAPI-based MCP server for handling requests from the Google Playable Locations API, supporting automatic generation and various development tools.

An MCP server for App Store Connect and Google Play Console APIs, providing localized ASO workflow tools, supporting metadata management, version release, and store synchronization.

An MCP server project that uses Google Maps via Playwright to generate potential customer leads

This is an MCP server project that provides tools for searching and analyzing applications from the Google Play Store and Apple App Store, focusing on App Store Search Optimization (ASO).

A Google Play Store review analysis server based on the Model Context Protocol (MCP), providing functions such as review query, keyword search, reply management, and automated analysis.