Claude-Gemini MCP Integration Server

Enable direct collaboration between Claude Code and Google's Gemini AI models through the Model Context Protocol (MCP)

Overview

The Claude-Gemini MCP Integration Server bridges Claude Code and Google's Gemini AI models, enabling seamless AI-to-AI collaboration within your development workflow. Ask Gemini questions, get code reviews, and brainstorm solutions directly from Claude Code.

Key Features

• Direct AI Collaboration: Claude can consult Gemini for different perspectives

• Smart Code Reviews: Get Gemini's analysis on security, performance, and best practices

• Creative Brainstorming: Leverage Gemini's creativity for problem-solving

• One-Command Setup: Complete installation in under 2 minutes

• Easy Integration: Works seamlessly with Claude Code CLI

Related MCP server: Claude Code + Gemini MCP Server

Quick Start

Prerequisites

• Python 3.8+ - Download here

• Claude Code CLI - Install with: npm install -g @anthropic-ai/claude-code

• Gemini API Key - Get free at Google AI Studio

Installation

Option 1: Automated Install (Recommended)

curl -sSL https://raw.githubusercontent.com/i3T4AN/Claude-Gemini-MCP-Integration-Server/main/install.sh | bash

Option 2: Manual Setup

# Clone the repository
git clone https://github.com/i3T4AN/Claude-Gemini-MCP-Integration-Server.git
cd Claude-Gemini-MCP-Integration-Server

# Run setup with your API key
chmod +x setup.sh
./setup.sh YOUR_GEMINI_API_KEY

Usage

Starting Claude Code

claude

Accessing Tools

In Claude Code, use the /mcp command to access MCP tools:

/mcp

Available Tools

1. ask_gemini - Direct Questions

Ask Gemini anything and get the response in Claude's context:

mcp__claude-gemini-integration__ask_gemini

Example prompts:

• "What are the latest Python best practices for async programming?"

• "Explain quantum computing in simple terms"

• "Compare React vs Vue for a new project"

2. gemini_code_review - Code Analysis

Get comprehensive code reviews focusing on specific areas:

mcp__claude-gemini-integration__gemini_code_review

Focus areas:

• general - Overall code quality and best practices

• security - Security vulnerabilities and concerns

• performance - Optimization opportunities

• maintainability - Code clarity and structure

3. gemini_brainstorm - Creative Solutions

Brainstorm ideas and solutions with additional context:

mcp__claude-gemini-integration__gemini_brainstorm

Example topics:

• "Mobile app architecture for a social platform"

• "Database design for high-traffic e-commerce"

• "Marketing strategies for developer tools"

Configuration

API Key Management

The setup script automatically configures your API key. If you need to change it:

1. Environment Variable (Recommended):

   export GEMINI_API_KEY="your-new-api-key"

2. Direct Edit:

   nano ~/.claude-mcp-servers/claude-gemini-integration/server.py
   # Update the API_KEY variable

Advanced Configuration

Temperature Control

Adjust response creativity in ask_gemini:

• 0.0 - Focused, deterministic responses

• 0.5 - Balanced (default)

• 1.0 - Creative, varied responses

Model Selection

The server uses gemini-2.0-flash by default. To use different models, edit server.py:

model = genai.GenerativeModel('gemini-1.5-pro')  # For more powerful responses

Architecture

System Components

┌─────────────────┐    ┌──────────────────────┐    ┌─────────────────┐
│   Claude Code   │◄──►│  MCP Integration     │◄──►│   Gemini API    │
│      CLI        │    │      Server          │    │                 │
└─────────────────┘    └──────────────────────┘    └─────────────────┘

Protocol Details

• Protocol: JSON-RPC 2.0 over stdin/stdout

• MCP Version: 2024-11-05

• Transport: Standard MCP server communication

API Limits & Costs

Gemini Free Tier

• Rate Limit: 15 RPM (requests per minute)

• Daily Limit: 1,500 requests per day

• Token Limit: 32,000 tokens per minute