gemini-mcp-tool and ToolsForMCPServer

These are complementary tools: the first provides a bridge between MCP servers and Google Gemini's large language model capabilities, while the second extends MCP server functionality through Google Apps Script integration, allowing them to work together to expand an MCP ecosystem's access to both Gemini's AI features and Google's automation platform.

gemini-mcp-tool
62
Established
ToolsForMCPServer
43
Emerging
Maintenance 6/25
Adoption 19/25
Maturity 18/25
Community 19/25
Maintenance 6/25
Adoption 9/25
Maturity 9/25
Community 19/25
Stars: 2,052
Forks: 174
Downloads: 7,710
Commits (30d): 0
Language: TypeScript
License: —
Stars: 98
Forks: 21
Downloads: —
Commits (30d): 0
Language: JavaScript
License: MIT
No risk flags
No Package No Dependents

About gemini-mcp-tool

jamubc/gemini-mcp-tool

MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding

Implements the Model Context Protocol (MCP) to bridge Claude with Gemini CLI, exposing tools like `ask-gemini` and `sandbox-test` for safe code execution and file analysis using the `@` syntax for context injection. Integrates directly into Claude Desktop and Claude Code via stdio transport, defaulting to the `gemini-2.5-pro` model while supporting configurable model selection and sandbox mode for isolated script testing.

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.

Implements an MCP server using Google Apps Script Web Apps that exposes 160+ pre-built tools for Google Workspace APIs (Gmail, Drive, Calendar, Classroom, Analytics, Maps), eliminating OAuth complexity by leveraging GAS's native authorization. The architecture relies on modular libraries—MCPApp for MCP protocol handling and ToolsForMCPServer for the tool suite—allowing declarative configuration via simple flags to enable/disable feature groups. Integrates with Gemini CLI and other MCP clients via HTTP Web Apps, supporting optional Gemini API calls for content generation and summarization tasks.

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