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.
MCPApp was updated to v2.0.0 v2.0.0 (June 12, 2025)
From v2.0.0, both the MCP client and the MCP server can be built by Google Apps Script. You can see the detail information here https://github.com/tanaikech/MCPApp
Gists
Abstract This report details an MCP network using Google Apps Script for both server and client, enabling automated, secure Gmail processing to boost efficiency.
Introduction Recently, I published a report titled “Building Model Context Protocol (MCP) Server with Google Apps Script,” which you can find here. In that initial report, I demonstrated the feasibility of creating an MCP server using Google Apps Script, with Claude Desktop serving as the client.
MCPApp was updated to v1.0.2 v1.0.2 (May 29, 2025)
From v1.0.2, in order to use MCPApp as a library, LockService is given. You can see the detail information here https://github.com/tanaikech/MCPApp
Gists
Abstract This report details transferring image data via Model Context Protocol (MCP) from Google Apps Script server to a Python/Gemini client, extending capabilities for multimodal applications beyond text.
Introduction Following up on my previous report, “Building Model Context Protocol (MCP) Server with Google Apps Script” (Ref), which detailed the transfer of text data between the MCP server and client, this new report focuses on extending the protocol to handle image data.
Gists
Abstract This text introduces the Model Context Protocol (MCP) for standardizing AI interaction with external systems. It explores the potential of using Google Apps Script (GAS) to host an MCP server, leveraging GAS’s integration with Google Workspace for data access. A sample script demonstrates feasibility, highlighting the current absence of an official GAS SDK. The work aims to foster understanding and encourage SDK development.
Introduction Recently, the Model Context Protocol (MCP) has emerged as a standard protocol for connecting AI applications with third-party systems and data sources.