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
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"gemini": {
"command": "npx",
"args": [
"-y",
"github:aliargun/mcp-server-gemini"
],
"env": {
"GEMINI_API_KEY": "your_api_key_here"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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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