Why this server?

Enables interaction with Google Calendar through Claude Desktop using the Model Context Protocol, enabling calendar event management and schedule analysis.

Why this server?

A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.

Why this server?

Allows AI assistants to generate and transform high-quality images from text prompts using Google's Gemini model via the MCP protocol.

Why this server?

Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.

Why this server?

A Model Context Protocol server providing structured, AI-friendly access to eRegulations data, making it easier for AI models to answer user questions about administrative procedures.

Why this server?

An MCP server that helps novice developers deploy web applications through conversational interfaces, bridging the gap between LLMs and various hosting environments.

Why this server?

This MCP server allows an AI assistants to search for flight information online using Google Flights. It can find flights for specific dates or search through a range of dates to find all options or just the cheapest ones available.

Why this server?

A Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.

Why this server?

MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.

Why this server?

Matches the query 'Google' and describes a general set of tools.