tanaike

The Thinker

Consolidating Generative AI Protocols: A Single Server Solution for MCP and A2A

Gists Abstract A new unified Google Apps Script now deploys both Model Context Protocol (MCP) and Agent2Agent (A2A) networks as a single server, streamlining AI model integration for Google Workspace users. Introduction The rapid growth of generative AI has led to increasing integration between AI models, exemplified by protocols like the Model Context Protocol (MCP) and Agent2Agent (A2A) Protocol. Recently, I released MCPApp and A2AApp, which establish the MCP and A2A networks using Google Apps Script.

Growing Image Generation with Gemini API: Python and Node.js Now Supported

Gists Abstract This article announces that the Gemini API’s Python client library now supports “growing image” generation, a feature previously unavailable. Sample scripts for Python and Node.js are provided to demonstrate this new capability. Introduction I recently published an article, “Generate Growing Images using Gemini API,” which detailed a method for progressively generating images. At the time of publication, the official Python client library for the Gemini API lacked the necessary functionality to fully implement this feature, preventing Python users from easily replicating the “growing image” effect.