by tanaikech · MCP Server · ★ 47
MCPApp Overview The Model Context Protocol (MCP) is an emerging standard designed to function as a universal adapter, enabling AI applications to seamlessly and securely connect with external systems and data sources. The core purpose of MCP is to provide a standardized method for AI models to request and receive contextually relevant information, which is crucial for performing complex tasks. This repository introduces two directions: An MCP server built with Google Apps Script for Gemini CLI and other MCP clients. An MCP network built with Google Apps Script.
| Stars | 47 |
| Forks | 10 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 44.87/100 |
| Last Updated | 2026-05-19 |
| Created | 2025-05-08 |
| Platforms | mcp, node |
| Est. Tokens | ~123k |
These tools work well together with MCPApp for enhanced workflows:
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MCPApp is 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, aim. It is categorized as a MCP Server with 47 GitHub stars.
MCPApp is primarily written in JavaScript. It covers topics such as gas-library, google-apps-script, google-apps-script-library.
You can find installation instructions and usage details in the MCPApp GitHub repository at github.com/tanaikech/MCPApp. The project has 47 stars and 10 forks, indicating an active community.
MCPApp is released under the MIT license, making it free to use and modify according to the license terms.