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Gemini MCP Server

@MCP-Mirror

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

MCP-Mirror

About Gemini MCP Server

Mirror of

#mcp-server#gemini#ai-integration

Gemini MCP Server config

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"
      }
    }
  }
}

Gemini MCP Server tools

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.

Overview

What is Gemini MCP Server?

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.

How to use Gemini MCP Server?

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.

Key features of Gemini MCP Server

  • Full MCP protocol support
  • Real‑time response streaming
  • Secure API key handling via environment variables
  • Configurable model parameters
  • TypeScript implementation
  • Available as an npx one‑line command

Use cases of Gemini MCP Server

  • Use Google Gemini AI models directly inside Claude Desktop
  • Stream real‑time responses from Gemini for conversational tasks
  • Develop and test MCP server integrations locally
  • Securely manage API keys without exposing them in config files

Frequently asked questions

1

How do I get a Gemini API key?

Visit Google AI Studio (makersuite.google.com/app/apikey) and create a new API key.

2

Where is the Claude Desktop configuration file?

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`.

3

What should I do if I encounter connection issues?

Check that port 3005 is available, verify your internet connection, and consult the Troubleshooting Guide in the repository.

4

How does the server handle API keys?

API keys are passed exclusively through the `GEMINI_API_KEY` environment variable; no sensitive data is logged or stored.

5

What runtime requirements does the server have?

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`.

Comments

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