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Gemini Mcp Tool

MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massiv

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Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

Gemini MCP Tool

](https://github.com/jamubc/gemini-mcp-tool/releases) [ ](https://www.npmjs.com/package/gemini-mcp-tool) [ [](https://github.com/jamubc/gemini-mcp-tool)

📚 [View Full Documentation](https://jamubc.github.io/gemini-mcp-tool/) - 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:

  1. 1.[Node.js](https://nodejs.org/) (v16.0.0 or higher)
  2. 2.[Google Gemini CLI](https://github.com/google-gemini/gemini-cli) installed and configured

One-Line Setup

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. 1.Add to your Claude Desktop config:
json
"gemini-cli": {
  "command": "npx",
  "args": ["-y", "gemini-mcp-tool"]
}
  1. 1.Import to Claude Code:
bash
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:

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

Don't lose this

Three weeks from now, you'll want Gemini Mcp Tool again. Will you remember where to find it?

Save it to your library and the next time you need Gemini Mcp Tool, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

This plugs directly into your AI and gives it new abilities it didn't have before. MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massiv. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

What's New

Version 1.0.06 days ago

Imported from GitHub

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