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gemini-mcp-tool

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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

2,278 stars TypeScriptOthers Updated Sep 4, 2026
aiclaudeclicodebase-analysisfile-analysisgeminimcpmodel-context-protocolnpmtypescript

Documentation

Gemini MCP Tool

> ๐Ÿ“š **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: ![Claude](#) + ![Gemini](#)(![Google Antigravity CLI](#))

Goal: Use Gemini's powerful analysis capabilities directly in Claude Code to save tokens and analyze large files.

Prerequisites

๐Ÿš€ 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`:

bash
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:

bash
GEMINI_MCP_BACKEND=gemini
VariablePurpose
`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

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

For Windows users

Use `-- y` instead of `-y`:

bash
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:

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

2. Import to Claude Code:

bash
claude mcp add-from-claude-desktop

Configuration

Register the MCP server with your MCP client:

Add this configuration to your Claude Desktop config file:

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

For Global Installation

If you installed globally, use this configuration instead:

json
{
  "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`).
    • `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 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 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.

Frequently asked questions

What is gemini-mcp-tool?

gemini-mcp-tool is 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

How do I install gemini-mcp-tool?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is gemini-mcp-tool open source?

Yes โ€” it is hosted on GitHub at https://github.com/jamubc/gemini-mcp-tool and has 2,278 stars.

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