Claude-Gemini-MCP-Integration-Server by i3T4AN - MCP Server

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

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:

Environment Variable (Recommended):

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

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          │    │                 │
└─────────────────┘    └──────────────────────┘    └─────────────────┘

i3T4AN/Claude-Gemini-MCP-Integration-Server