Gists Abstract This article demonstrates integrating Google Maps with natural language using the Gemini CLI and an MCP server. This powerful combination allows users to automate complex location-based tasks, such as route planning and information retrieval, through simple, intuitive text-based prompts. Introduction The Gemini CLI, when paired with Model Context Protocol (MCP) servers, is a powerful tool for integrating various applications with natural language. When the MCP servers are built
Gists
Abstract Generating Google Apps Script (GAS) with Gemini CLI from natural language introduces security risks due to broad permissions. This report investigates a “Fake-Sandbox” using the gas-fakes library, translating GAS calls into granularly-scoped API requests to securely execute scripts created from user prompts.
Introduction 1. Background: Generative AI and the Challenge of Secure Script Execution The emergence of Generative AI now makes it possible to generate executable scripts directly from natural language instructions, particularly through interfaces like the Gemini CLI.
ToolsForMCPServer was updated to v1.0.27 v1.0.27 (August 22, 2025)
Following 6 tools for Google Analytics were added.
analytics_admin_accountSummaries_list: Retrieves a list of all Google Analytics accounts accessible by the current user analytics_admin_properties_get: Get detailed information about a single Google Analytics property analytics_data_properties_runReport: Fetches a custom report from a Google Analytics property analytics_data_properties_runRealtimeReport: Generates a customized report of real-time event data from a Google Analytics property You can see the detailed information here https://github.
Gists
Abstract This report introduces a powerful method for automating Google Analytics tasks using the Gemini CLI and a custom MCP (Model Context Protocol) server built with Google Apps Script. This integration enables streamlined web page analysis through simple natural language commands, simplifying authorization and complex data retrieval workflows.
Introduction Accessing and interpreting web analytics data often involves navigating complex interfaces and manual report generation. However, the emergence of natural language interfaces is changing this paradigm.
Gists
Abstract This document demonstrates a transformative method for unifying Google Workspace applications by using natural language. Through the integration of the Gemini CLI with MCP, this approach empowers users to intuitively manage Google Drive, Gmail, Google Calendar, Drive Activity, and Google People. Complex tasks and collaborative workflows are streamlined into simple, conversational text commands.
Introduction In today’s dynamic, collaborative environments, managing document workflows, tracking changes, and coordinating team efforts can be fragmented and inefficient.