ToolsForMCPServer and mcp-gemini-server

One is an MCP server wrapping the Google GenAI SDK to expose Gemini capabilities as standard MCP tools, and the other could be seen as an ecosystem sibling providing tools or snippets specifically for building or enhancing such an MCP server using Google Apps Script.

ToolsForMCPServer
49
Emerging
mcp-gemini-server
43
Emerging
Maintenance 6/25
Adoption 9/25
Maturity 15/25
Community 19/25
Maintenance 2/25
Adoption 7/25
Maturity 16/25
Community 18/25
Stars: 98
Forks: 21
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
Stars: 35
Forks: 15
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About ToolsForMCPServer

tanaikech/ToolsForMCPServer

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 project helps Google Workspace users automate complex, multi-step tasks by integrating Google's Gemini AI with their Google Apps Script (GAS) Web Apps. It takes simple natural language commands via the Gemini command-line interface and translates them into actions within Google Workspace services like Gmail, Drive, and Calendar. The end-users are professionals, like project managers or operations specialists, who want to automate workflows within their Google ecosystem.

Google Workspace automation AI assistants workflow automation productivity tools Google Apps Script

About mcp-gemini-server

bsmi021/mcp-gemini-server

This project provides a dedicated MCP (Model Context Protocol) server that wraps the @google/genai SDK. It exposes Google's Gemini model capabilities as standard MCP tools, allowing other LLMs (like Cline) or MCP-compatible systems to leverage Gemini's features as a backend workhorse.

This server helps other AI systems and large language models (LLMs) like Claude use Google's Gemini for complex tasks. It takes publicly available web content like image URLs, YouTube videos, or web pages and processes them using Gemini's advanced analysis and generation features. This is ideal for AI developers or system integrators who want to add Gemini's capabilities to their existing AI applications through a standardized interface.

AI-integration multimedia-analysis generative-AI content-processing LLM-tooling

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