Gemini MCP Tool
A server for integrating with the Google Gemini CLI to perform AI-powered tasks.
Gemini MCP Tool
📚 View Full Documentation - Search me!, Examples, FAQ, Troubleshooting, Best Practices
This is a simple Model Context Protocol (MCP) server that allows AI assistants to interact with the 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.
- Ask gemini natural questions, through claude or Brainstorm new ideas in a party of 3!
TLDR:
+ 
Goal: Use Gemini's powerful analysis capabilities directly in Claude Code to save tokens and analyze large files.
Prerequisites
Before using this tool, ensure you have:
- Node.js (v16.0.0 or higher)
- Google Gemini CLI installed and configured
One-Line Setup
claude mcp add gemini-cli -- npx -y gemini-mcp-tool
Verify Installation
Type /mcp inside Claude Code to verify the gemini-cli MCP is active.
Alternative: Import from Claude Desktop
If you already have it configured in Claude Desktop:
- Add to your Claude Desktop config:
"gemini-cli": {
"command": "npx",
"args": ["-y", "gemini-mcp-tool"]
}
- Import to Claude Code:
claude mcp add-from-claude-desktop
Configuration
Register the MCP server with your MCP client:
For NPX Usage (Recommended)
Add this configuration to your Claude Desktop config file:
{
"mcpServers": {
"gemini-cli": {
"command": "npx",
"args": ["-y", "gemini-mcp-tool"]
}
}
}
For Global Installation
If you installed globally, use this configuration instead:
{
"mcpServers": {
"gemini-cli": {
"command": "gemini-mcp"
}
}
}
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
- macOS:
After updating the configuration, restart your terminal session.
Example Workflow
- 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-cliand commands will populate in Claude Code's interface.
Usage Examples
With File References (using @ syntax)
ask gemini to analyze @src/main.js and explain what it doesuse gemini to summarize @. the current directoryanalyze @package.json and tell me about dependencies
General Questions (without files)
ask gemini to search for the latest tech newsuse gemini to explain div centeringask 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 dataask gemini to safely test @script.py and explain what it doesuse gemini sandbox to install numpy and create a data visualizationtest 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 togemini-2.5-pro.sandbox(optional): Set totrueto 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 Code's interface (compatibility with other clients has not been tested).
- /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 dataor/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 see our Contributing Guidelines for details on how to submit pull requests, report issues, and contribute to the project.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Disclaimer: This is an unofficial, third-party tool and is not affiliated with, endorsed, or sponsored by Google.
Related Servers
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Juniper Junos MCP Server
An MCP server for interacting with Juniper Junos network devices using LLMs.
Adamik MCP Server
Interact with over 60 blockchain networks using any MCP client. Requires an Adamik API key.
Complex plan
Enhance development AI workflows with advanced planning and sequential thinking capabilities.
Diffchunk
Navigate large diff files with intelligent chunking and navigation tools.
Code Assistant
A Rust-based CLI tool for code-related tasks, operating as an MCP server.
Local MCP Test
A test server for local MCP development and setup.
Specifai
Integrate and automate Specifai projects with any MCP-compatible AI tool.
Snowfort Circuit MCP
Automate web browsers and Electron desktop applications for AI coding agents.
Remote MCP Server Chatbot
A demonstration of deploying a remote MCP server on Cloudflare Workers without authentication.
Integrated MCPs Guide
An integrated MCP server combining Azure DevOps, Gmail, Browser, and Gemini AI functionalities on a Node.js server.