This repository demonstrates how to dynamically add frequently used, AI-generated Google Apps Scripts to an MCP server as permanent tools. This approach enhances security, reduces costs, and improves efficiency for Google Workspace automation using the Gemini CLI and the gas-fakes library.

trying out gas-fakes powering an apps script mcp server

Introduces a powerful method for developing and testing Google Apps Script (GAS) locally. By leveraging the `gas-fakes` library, you can build a secure, local Model Context Protocol (MCP) server, enabling the creation of AI-powered tools for Google Workspace automation without deploying to the cloud.