Gemini MCP Tool

Gemini MCP Tool

This is a simple Model Context Protocol (MCP) server that allows AI assistants to interact with the Google Gemini CLI. It enables the AI to leverage the power of Gemini's massive token window for large analysis, especially with large files and codebases using the @ syntax for direction.

TLDR:

• 1. Install, ask claude naturally to use gemini, save tokens.
• 2. Add this to your claude config.

• 3. Run 'claude mcp add-from-claude-desktop' where you want to use gemini-cli as an mcp,
• 4. Make sure that you have selected the MCPs you want to import (it defaults to all)
• 50. then run claude code in the same dir. this dir will now be configured.

Prerequisites

• Node.js (v16.0.0 or higher)
• Google Gemini CLI installed and configured on your system.

Installation

You can use this tool without installation via npx, which is the recommended approach. However, if you prefer to install it globally, you can do so.

Configuration

You need to register the MCP server with your MCP client (e.g., Claude Code, Claude Desktop, ect).

Recommended: Using npx (No Installation Needed)

Add the following to your claude desktop configuration file:

Using a Global Installation

If you installed the package globally, use this configuration:

Configuration File Locations:

• Claude Desktop:
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/claude/claude_desktop_config.json

After updating the configuration, restart your terminal session.

Available Commands

• Use natural language: "use gemini to explain index.html", "understand the massive project using gemini", "ask gemini to search for latest news"
• Claude Code: type /gemini-cli and commands should populate in claude code.

Usage Examples

With File References (using @ syntax)

• ask gemini to analyze @src/main.js and explain what it does
• use gemini to summarize @. the current directory
• analyze @package.json and tell me about dependencies

General Questions (without files)

• ask gemini to search for the latest tech news
• use gemini to explain quantum computing
• ask gemini about best practices for React development related to @file_im_confused_about

Using Gemini CLI's Sandbox Mode (-s)

The sandbox mode allows you to safely test code changes, run scripts, or execute potentially risky operations in an isolated environment.

• use gemini sandbox to create and run a Python script that processes data
• ask gemini to safely test @script.py and explain what it does
• use gemini sandbox to install numpy and create a data visualization
• test this code safely: Create a script that makes HTTP requests to an API

Tools (for the AI)

These tools are designed to be used by the AI assistant.

• ask-gemini: Asks Google Gemini for its perspective. Can be used for general questions or complex analysis of files.
  • prompt (required): The analysis request. Use the @ syntax to include file or directory references (e.g., @src/main.js explain this code) or ask general questions (e.g., Please use a web search to find the latest news stories).
  • model (optional): The Gemini model to use. Defaults to gemini-2.5-flash.
  • sandbox (optional): Set to true to run in sandbox mode for safe code execution.
• sandbox-test: Safely executes code or commands in Gemini's sandbox environment. Always runs in sandbox mode.
  • prompt (required): Code testing request (e.g., Create and run a Python script that... or @script.py Run this safely).
  • model (optional): The Gemini model to use.
• Ping: A simple test tool that echoes back a message.
• Help: Shows the Gemini CLI help text.

Slash Commands (for the User)

You can use these commands directly in claude codes face (havent tested other clients).

• /analyze: Analyzes files or directories using Gemini, or asks general questions.
  • prompt (required): The analysis prompt. Use @ syntax to include files (e.g., /analyze prompt:@src/ summarize this directory) or ask general questions (e.g., /analyze prompt:Please use a web search to find the latest news stories).
• /sandbox: Safely tests code or scripts in Gemini's sandbox environment.
  • prompt (required): Code testing request (e.g., /sandbox prompt:Create and run a Python script that processes CSV data or /sandbox prompt:@script.py Test this script safely).
• /help: Displays the Gemini CLI help information.
• /ping: Tests the connection to the server.
  • message (optional): A message to echo back.

Contributing

Contributions are welcome! Please feel free to fork the repository, make your changes, and open a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.