Kanshi TANAIKE

This text introduces the Model Context Protocol (MCP) for AI interaction, exploring Google Apps Script (GAS) as a server option. It shows feasibility with a sample but notes the lack of a GAS SDK, aiming to encourage understanding and development.

The Gemini CLI confirmed that the MCP server built with Google Apps Script (GAS), a low-code platform, offers immense possibilities. If you've created snippets for GAS, these could be revitalized and/or leveraged in new ways by using them as the MCP server. The Gemini CLI and other MCP clients will be useful in achieving this.

This project consolidates multiple generative AI protocols into a single server solution, efficiently managing MCP (Multi-Cloud Protocol) and A2A (Application-to-Application) communications. It enables automated workflows, allowing developers to easily integrate different AI models and optimize data flow.