Gists
Abstract This guide offers a comprehensive walkthrough of the essential steps and key considerations for developing Gemini CLI extensions. It covers setting up a sample project, configuring the gemini-extension.json file, local testing, and automating dependency management with GitHub Actions, providing developers with the foundational knowledge to create their own custom tools.
Introduction After the release of Gemini CLI Extensions, a growing community of users is developing a wide range of extensions to enhance their command-line workflows.
ToolsForMCPServer-extension This Gemini CLI Extension simplifies Google Workspace automation. It installs a local Model Context Protocol (MCP) server that communicates with a powerful, securely authorized backend built on Google Apps Script Web Apps, overcoming previous complex setup and performance bottlenecks.
You can see the details at my repository.
https://github.com/tanaikech/ToolsForMCPServer-extension
Gists
Abstract This project simplifies Google Workspace automation by using a Gemini CLI Extension. It installs a local Model Context Protocol (MCP) server that communicates with a powerful, securely authorized backend built on Google Apps Script Web Apps, overcoming previous complex setup and performance bottlenecks.
Introduction In order to achieve Google Workspace Automation with seamless authorization and safety, I have published a Model Context Protocol (MCP) server built by Google Apps Script Web Apps.
I am thrilled and deeply honored to be recognized with the “First place in the Outstanding GDE award”. This incredible honor inspires me to redouble my efforts in advancing new projects and further energizing our amazing community.
Gists
Abstract This article presents a method for optimizing Google Workspace automation by dynamically converting frequently used, AI-generated Google Apps Scripts into permanent, reusable tools. By integrating the Gemini CLI with a gas-fakes sandbox via an MCP server, we demonstrate how to securely add and manage these custom tools, reducing operational costs and improving efficiency.
Introduction When using generative AI to create scripts, ensuring the secure execution of the generated code is critical.