Kanshi TANAIKE

A high-performance concurrent Google Drive CLI and native Model Context Protocol (MCP) Server for LLM/AI agents. Natively execute Google Apps Script (GAS) dynamically, recursive upload/download, and manage Drive infrastructure.

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 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.

An optimized Google Apps Script library and MCP Server to efficiently manage complex, flexible, and automated time-driven triggers with high precision.

Simplified Google Workspace Automation with Gemini CLI Extensions

GASADK: Agent Development Kit for Google Apps Script. Build AI agents with Gemini API, MCP, A2A, Agent Skills, Human-in-the-Loop (HITL) suspension/resumption, token quota safeguards, and dynamic Google API MCP servers.

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.

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.

Nexus-MCP solves Tool Space Interference in LLMs. It uses a single gateway to aggregate multiple MCP servers and employs a deterministic 4-phase workflow (Discovery, Mapping, Schema Verification, Bridged Execution) to prevent context saturation and tool hallucinations, maintaining reasoning accuracy with massive tool ecosystems.

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.

Google Apps Script library for managing Apache Iceberg lakehouses on Google Cloud (BigQuery & Cloud Storage). Turn Google Sheets into a petabyte lakehouse with sub-second ACID queries, metadata pushdown, and time travel.

MCPA2Aserver is a Google Apps Script library designed to consolidate Generative AI protocols into a single server solution. It enables developers to easily build and deploy servers that support both the **Model Context Protocol (MCP)** and the **Agent-to-Agent (A2A)** protocol.

This is a sample repository for helping understand the development of Gemini CLI Extensions.