Gemini MCP Tool

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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

🚀 Important: Gemini CLI is retired. This tool now defaults to Antigravity CLI (agy)

On 2026-06-18, Google retired the Gemini CLI for free, Google AI Pro, and Google AI Ultra users (and individual Gemini Code Assist / GitHub-org users). Its successor is the Antigravity CLI (agy). See Google's announcement.

From 2026-06-18 this tool selects the agy backend automatically. If you are on an affected tier, just install agy:

curl -fsSL https://antigravity.google/cli/install.sh | bash   # macOS / Linux

Then run agy once to sign in. Nothing else to change.

Enterprise / Standard-license or paid-API-key user? Your Gemini CLI access is unaffected by the retirement. To keep using it, set one env var on the MCP server:

GEMINI_MCP_BACKEND=gemini

Variable	Purpose
GEMINI_MCP_BACKEND	gemini or agy/antigravity. Unset uses the date-aware default (agy from 2026-06-18).
AGY_CLI_PATH	Full path to the agy binary if it isn't on the server's PATH.
GEMINI_MCP_TIMEOUT	Overall CLI run timeout in minutes (default 45).

The agy backend is experimental: print mode is Gemini 3.5 Flash-only, replies come from agy's stdout (transcript recovery only as a fallback), and tool execution isn't sandboxed in -p. The tool emits a notice when a requested model/sandbox can't be honored, and surfaces agy's own errors (quota, auth) verbatim. Full analysis: docs/migration/antigravity-cli.md.

Before using this tool, ensure you have:

1. Node.js (v16.0.0 or higher)
2. Google Gemini CLI installed and configured

One-Line Setup

claude mcp add gemini-cli -- npx -y gemini-mcp-tool

For Windows users

Use -- y instead of -y:

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:

1. Add to your Claude Desktop config:

"gemini-cli": {
  "command": "npx",
  "args": ["-y", "gemini-mcp-tool"]
}

2. 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

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-cli and 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 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 div centering
• 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-pro.
  • 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