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MCP unreviewed MIT Self-run

Claude Gemini MCP Integration Server

mcp-i3t4an-claude-gemini-mcp-integration-server · by i3T4AN

Claude-Gemini MCP Bridge - Seamlessly integrates Google's Gemini AI with Claude Code via Model Context Protocol. Get dual AI perspectives on code review, brainstorming, and development. One-command setup with automatic configuration. Bridge two powerful AI models for enhanced workflows.

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Install

$ agentstack add mcp-i3t4an-claude-gemini-mcp-integration-server

Open-source listing, not yet scanned by AgentStack. Follow the source repository for install instructions.

Security review

⚠ Flagged

1 finding(s); flagged for manual review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
  • high Pipes remote content directly into a shell (remote code execution).

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Reliability & compatibility

Not yet reviewed
0 installs to date
no reviews yet
12mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Claude-Gemini MCP Integration Server

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

[](https://www.python.org/downloads/) [](https://modelcontextprotocol.io/) [](https://opensource.org/licenses/MIT)

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:

  1. Environment Variable (Recommended):

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

  1. Direct Edit:

``bash 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

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.