google_workspace_mcp and MCPApp

The first tool, a comprehensive server and CLI, appears to be a broader implementation of a Google Workspace AI control system, whereas the second tool explores Google Apps Script as a server option for the Model Context Protocol (MCP), suggesting an ecosystem sibling relationship where the second tool might represent a more focused, GAS-specific exploration or component that could potentially interface with or complement the first's broader capabilities within the Google Workspace AI ecosystem.

google_workspace_mcp
72
Verified
MCPApp
42
Emerging
Maintenance 22/25
Adoption 10/25
Maturity 15/25
Community 25/25
Maintenance 2/25
Adoption 8/25
Maturity 15/25
Community 17/25
Stars: 1,771
Forks: 515
Downloads:
Commits (30d): 255
Language: Python
License: MIT
Stars: 43
Forks: 10
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About google_workspace_mcp

taylorwilsdon/google_workspace_mcp

Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool

This tool allows you to control your Google Workspace apps like Gmail, Calendar, Drive, and Docs using natural language commands. You can provide instructions, and it will interact with your Google services to perform tasks, acting as a bridge between your AI assistant or command-line interface and your Google data. It's designed for individuals or organizations who want to automate and manage their Google Workspace through conversational AI or custom scripts.

work-automation digital-assistant enterprise-productivity workflow-management google-workspace

About MCPApp

tanaikech/MCPApp

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.

This project helps developers integrate AI applications with various external data sources and systems using the Model Context Protocol (MCP). It provides a standardized way for AI models to request and receive contextual information, making them more capable of handling complex tasks. Developers building AI tools, especially with Google Apps Script, would use this to ensure secure and seamless data exchange.

AI-integration API-development cloud-scripting data-connectivity developer-tooling

Scores updated daily from GitHub, PyPI, and npm data. How scores work