Gemini MCP Server

A Model Context Protocol (MCP) server that enables Claude to interact with Google's Gemini AI models.

Inspired from this GitHub repo

Setup

1. Get a Gemini API key from Google AI Studio

2. Add to Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "gemini": {
      "command": "uvx",
      "args": ["--from", "/path/to/gemini-mcp", "gemini-mcp"],
      "env": {
        "GEMINI_API_KEY": "your_api_key_here",
        "MODEL_NAME": "gemini-2.5-flash-preview-05-20"
      }
    }
  }
}

Replace /path/to/gemini-mcp with the actual path to this directory.

Usage

ask_gemini

Ask Gemini questions directly from Claude.

• prompt: Your question for Gemini
• temperature: Response creativity (0.0-1.0, default: 0.5)
• context: Additional context
• persona: Role for Gemini (e.g., "senior architect", "security expert")

server_info

Check server status and Gemini availability.

Examples

Ask Gemini: What are the latest trends in machine learning?

Ask Gemini to review this code as a senior developer: [code]

Ask Gemini about Python best practices with context that I'm building a web API

Troubleshooting

• API key error: Set GEMINI_API_KEY in your environment
• Rate limit: Wait and try again
• Content filtered: Rephrase your request
• Server issues: Use server_info tool to check status