claude-gemini-mcp

gemini-mcp

Lightweight MCP server that exposes Google Gemini as tools for Claude Code (or any MCP client).

Use Gemini for second opinions, large-context analysis, code review, or anything where a different model perspective helps.

Tools

Tool	Description
gemini_ask	Ask Gemini a question or give it a task
gemini_analyze	Send code/text for analysis with a specific instruction
gemini_chat	Multi-turn conversation with full history
gemini_models	List available Gemini models

Quick Start

1. Get an API key

Go to Google AI Studio and create a free API key.

2. Install

Option A — Clone (recommended for Claude Code)

git clone https://github.com/PavelGuzenfeld/gemini-mcp.git ~/.claude/mcp-servers/gemini
cd ~/.claude/mcp-servers/gemini
npm install

Option B — npx (no install)

npx claude-gemini-mcp

3. Register with Claude Code

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "gemini": {
      "command": "node",
      "args": ["/home/you/.claude/mcp-servers/gemini/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-key-here"
      }
    }
  }
}

Or with npx:

{
  "mcpServers": {
    "gemini": {
      "command": "npx",
      "args": ["-y", "claude-gemini-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-key-here"
      }
    }
  }
}

Environment Variables

Variable	Default	Description
GEMINI_API_KEY	(required)	Google AI Studio API key
GEMINI_MODEL	gemini-2.5-pro	Default model for all tools

Models

Model	Best for
gemini-2.5-pro	Best quality, large context (1M tokens)
gemini-2.5-flash	Fast, good for most tasks
gemini-2.0-flash	Fastest, simple tasks

Every tool accepts an optional model parameter to override the default per-call.

Features

• Retry with exponential backoff on rate limits (429) and server errors (5xx)
• Graceful error reporting back to the MCP client (no crashes)
• Per-call model override
• Zero configuration beyond the API key

License

MIT