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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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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.[Node.js](https://nodejs.org/) (v16.0.0 or higher)
- 2.[Google Gemini CLI](https://github.com/google-gemini/gemini-cli) installed and configured
One-Line Setup
claude mcp add gemini-cli -- npx -y gemini-mcp-toolVerify 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"]
}- 1.Import to Claude Code:
claude mcp add-from-claude-desktopConfiguration
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-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
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
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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