Gemini MCP Advisor for Claude Code

Transform Claude Code into a next-generation AI development environment using Gemini MCP server for project-aware coding assistance.

🚀 Quick Start

Option 1: Install via npm (Recommended)

# Install globally
npm install -g gemini-mcp-advisor

# Run setup to create 20 slash commands
gemini-mcp-setup

Option 2: Use npx (No Installation)

# Run directly without installing
npx gemini-mcp-advisor

Option 3: Clone and Run Locally

# Clone repository
git clone https://github.com/jezweb/gemini-cli-advisor-for-claude-code.git
cd gemini-cli-advisor-for-claude-code

# Run setup
./gemini-setup.sh

Prerequisites (Both Methods)

# 1. Install/Update Gemini CLI (do this regularly)
npm install -g @google/gemini-cli

# 2. Verify Gemini is working
gemini --version

# 3. Authenticate Gemini CLI (choose one method)

## Option A: API Key (Recommended for reliability)
# Get free API key from https://aistudio.google.com/apikey
export GOOGLE_API_KEY="your-api-key-here"
# 100 requests/day, no browser needed, never expires

## Option B: OAuth (Higher limits)
gemini auth
# 1,000 requests/day, requires browser, may need re-auth

# 4. Install Gemini MCP Server (https://github.com/jamubc/gemini-mcp-tool)
claude mcp add gemini-cli -s user -- npx -y gemini-mcp-tool

🎯 Model Selection Strategy

Smart Model Assignment:

• gemini-2.5-flash (Default) - Used for most commands to avoid rate limits
• gemini-2.5-pro - Reserved for complex analysis tasks

Commands automatically use the optimal model:

• ✨ Flash: review, explain, fix, test, implement, verify (high-frequency tasks)
• 🧠 Pro: plan, audit, security, optimize, refactor, approach (deep analysis)

🎯 What This Does

Creates 20 intelligent slash commands that enable complete AI-powered development workflows:

Core Commands (8) - Enhanced with project awareness:

• Planning, code generation, reviews, debugging, security audits
• All commands understand your tech stack and dependencies

Advanced Commands (4) - Project-wide analysis:

• Test generation, security audits, performance optimization, refactoring
• Analyze entire codebases with architectural awareness

Response Handlers (4) - Act on Gemini's advice:

• Implement suggestions, verify changes, iterate on feedback
• Complete the loop from analysis to implementation

Workflow Commands (4) - End-to-end development cycles:

• Fix-cycle, build-cycle, secure-cycle, optimize-cycle
• Automated workflows that use multiple Gemini commands

🔄 The Workflow Approach

Instead of just finding problems, this setup enables complete development cycles:

1. Plan with Gemini's architectural advice
2. Implement with continuous Gemini reviews
3. Verify changes match recommendations
4. Iterate until Gemini approves the solution

This creates a true AI pair programming experience where Gemini actively participates throughout development, not just during code review.

💫 Key MCP Advantages

• Project Intelligence - Analyzes package.json, configs, and source files automatically
• File-Aware Analysis - Uses @filename syntax for context inclusion
• Sandbox Safety - Secure code generation and testing environment
• Large Context Windows - Leverage Gemini's full analytical capabilities
• Native Integration - Built into Claude Code with no bash dependencies
• Multi-File Analysis - Understand entire project architecture

🛠️ Available Commands (20 Total)

Core Commands (8) - Enhanced with MCP

• /gemini-plan - Project-aware feature and architecture planning
• /gemini-approach - Best practices with tech stack context
• /gemini-function - Smart function generation matching project style
• /gemini-review - Comprehensive code review with dependencies
• /gemini-explain - Detailed explanation with project context
• /gemini-fix - Smart debugging with full project awareness
• /gemini-security - Security audit with configuration analysis
• /gemini-ask - Context-aware development questions

Advanced Commands (4) - Project-Wide Analysis

• /gemini-test - Generate comprehensive tests for selected code
• /gemini-audit - Project-wide security audit across all files
• /gemini-optimize - Performance analysis of entire codebase
• /gemini-refactor - Intelligent refactoring with architectural awareness

Response Handlers (4) - Act on Gemini's Advice

• /gemini-implement - Take Gemini's suggestions and implement them
• /gemini-verify - Check if changes match Gemini's recommendations
• /gemini-iterate - Show Gemini the changes and get feedback
• /gemini-proceed - Confirm approach with Gemini before major changes

Workflow Commands (4) - Complete Development Cycles

• /gemini-fix-cycle - Complete debugging: identify → fix → verify
• /gemini-build-cycle - Feature development: plan → build → review → iterate
• /gemini-secure-cycle - Security hardening: audit → fix → re-audit
• /gemini-optimize-cycle - Performance tuning: analyze → optimize → measure

📋 Requirements

• Claude Code - Latest version with MCP support
• Node.js - For Gemini MCP server installation
• Google Account - For Gemini CLI authentication

🎬 How MCP Integration Works

1. MCP Server provides native Gemini integration to Claude Code
2. Enhanced Commands automatically include project context (@files)
3. Claude Code orchestrates intelligent development workflow
4. Gemini analyzes with full project awareness and dependency understanding
5. You maintain complete control with superior AI assistance

🌟 Perfect For

• Any Developer wanting project-aware AI assistance
• Teams needing consistent code quality and security practices
• Complex Projects requiring architectural guidance and optimization
• Security-Conscious Development with comprehensive audit capabilities
• Performance-Critical Applications needing optimization insights

🔧 Setup Details

Prerequisites (follow Quick Start above):

1. Keep Gemini CLI updated: Run npm install -g @google/gemini-cli regularly
2. Use latest model: Ensure you're on gemini-2.5-pro (shows when you run gemini)
3. Personal Gmail only: Workspace accounts don't work with Gemini CLI
4. Install MCP server: claude mcp add gemini-cli -s user -- npx -y gemini-mcp-tool

Setup creates:

1. 20 intelligent slash commands in 4 categories
2. Complete development workflows with Gemini collaboration
3. File-aware analysis using @filename syntax
4. Multiple activation options (workflow, simple, custom)

Three ways to use Gemini:

• Direct commands: "Use gemini to analyze index.js" (no setup needed)
• Individual commands: /gemini-plan, /gemini-review, etc.
• Workflow commands: /gemini-build-cycle for complete development flows

💡 Usage Examples

Complete Feature Development

# 1. Start with planning
/gemini-plan
> "add user authentication with JWT"

# 2. Confirm approach
/gemini-proceed
> "Use Passport.js with JWT strategy, PostgreSQL for users"

# 3. Build with continuous review
# ... implement code ...
/gemini-review  # Check progress

# 4. Handle Gemini's feedback
/gemini-implement
> "Add input validation and bcrypt for passwords"

# 5. Verify implementation
/gemini-verify  # Confirms changes match recommendations

Quick Bug Fix Workflow

# 1. Understand the issue
/gemini-fix
> "TypeError: Cannot read property 'id' of undefined"

# 2. Implement the fix
/gemini-implement
> "Add null check before accessing user.id"

# 3. Verify it's correct
/gemini-verify

Using Workflow Commands

# Complete development cycle in one command
/gemini-build-cycle
> "Add real-time notifications feature"
# Automatically: plans → implements → tests → reviews → iterates

🔐 Authentication Guide

Solving the OAuth Re-authentication Problem

Many users experience repeated OAuth prompts. Here are two solutions:

Solution 1: API Key Authentication (Recommended)

# 1. Get your free API key
# Visit: https://aistudio.google.com/apikey

# 2. Set the API key (choose one method):

# Temporary (this session only)
export GOOGLE_API_KEY="your-api-key-here"

# Permanent (add to ~/.bashrc or ~/.zshrc)
echo 'export GOOGLE_API_KEY="your-api-key"' >> ~/.bashrc
source ~/.bashrc

# Project-specific (.env file)
echo "GOOGLE_API_KEY=your-api-key" > .env

API Key Benefits:

• ✅ No browser popups
• ✅ Never expires
• ✅ Works in SSH/remote sessions
• ✅ 100 requests/day (sufficient for most development)

Solution 2: Use Our Authentication Helper

# Run after installing the package
./gemini-auth-helper.sh

This interactive script helps you:

• Choose between API key and OAuth
• Set up persistent authentication
• Test your configuration
• Troubleshoot common issues

Authentication Comparison

Method	Daily Limit	Setup	Best For
API Key	100 requests	No browser needed	Reliability, CI/CD
OAuth	1,000 requests	Requires browser	High-volume development

🆘 Troubleshooting

Setup Issues:

• Ensure Node.js is installed
• Update Gemini CLI: npm install -g @google/gemini-cli
• Check model version: gemini --version

Commands Not Showing:

• Restart Claude Code after setup
• Verify MCP server: claude mcp list should show gemini-cli
• Re-install if needed: claude mcp add gemini-cli -s user -- npx -y gemini-mcp-tool

Model & Rate Limit Issues:

• Rate limit (429 error)? Commands automatically use flash for most tasks
• Need different model? Set manually: gemini -m gemini-2.5-flash
• Complex task failing? May need pro model - wait for rate limit reset
• Workspace account? Use personal Gmail instead

Integration Tips:

• Try direct commands first: "Use gemini to analyze this file"
• MCP handles missing files gracefully
• Large projects may take longer to analyze

🎉 Get Started

Via npm (Easiest)

npm install -g gemini-mcp-advisor
gemini-mcp-setup

Manual Steps

1. Prerequisites: Complete all steps in Prerequisites section above
2. Install package: npm install -g gemini-mcp-advisor
3. Run setup: gemini-mcp-setup
4. Choose activation method:
   • Full Workflow: Copy Option 1 from generated claude-quick-start.txt
   • Simple Commands: Copy Option 2 for basic usage
   • Custom: Create your own workflow with Option 3
5. Start developing:
   • Try direct: "Use gemini to analyze this file"
   • Or workflow: /gemini-build-cycle for complete features

📚 Documentation

• Quick Reference - Fast setup and command cheat sheet
• MCP Usage Guide - Comprehensive command reference and examples

🔗 Links

• NPM Package - Install with npm install -g gemini-mcp-advisor
• Gemini MCP Server - The MCP server that powers this integration
• Jezweb - Created by Jeremy Dawes, CEO of Jezweb

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Next-generation AI development with project intelligence and architectural awareness 🚀