How do I get a Gemini API key?
Visit Google AI Studio (makersuite.google.com/app/apikey) and create a new API key.
@MCP-Mirror
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"gemini": {
"command": "npx",
"args": [
"-y",
"github:aliargun/mcp-server-gemini"
],
"env": {
"GEMINI_API_KEY": "your_api_key_here"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Gemini MCP Server is a Model Context Protocol (MCP) server that enables Claude Desktop to interact with Google's Gemini AI models. It provides full MCP protocol support with real‑time response streaming and secure API key handling.
Obtain a Gemini API key from Google AI Studio, then configure Claude Desktop by adding the server to claude_desktop_config.json (location varies by OS) with the command npx -y github:aliargun/mcp-server-gemini and the environment variable GEMINI_API_KEY. Restart Claude Desktop to start using it. For local development, clone the repository, run npm install, and start with npm run dev.
Visit Google AI Studio (makersuite.google.com/app/apikey) and create a new API key.
On macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`. On Windows: `%APPDATA%\Claude\claude_desktop_config.json`. On Linux: `~/.config/Claude/claude_desktop_config.json`.
Check that port 3005 is available, verify your internet connection, and consult the Troubleshooting Guide in the repository.
API keys are passed exclusively through the `GEMINI_API_KEY` environment variable; no sensitive data is logged or stored.
It requires Node.js and npm/npx. The server is written in TypeScript and runs with the provided npx command or after local `npm install`.
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