gemini-code-review-mcp 0.3.10

MCP server for AI-powered code reviews using Google Gemini with contextual awareness

Gemini Code Review MCP

🚀 AI-powered code reviews that understand your project's context and development progress

Transform your git diffs into actionable insights with contextual awareness of your project guidelines, task progress, and coding standards.

📚 Table of Contents

• Why Use This?
• Quick Start
• Available MCP Tools
• Configuration
• Key Features
• CLI Usage
• Troubleshooting
• Development

Why Use This?

• 🎯 Context-Aware Reviews: Automatically includes your CLAUDE.md guidelines and project standards
• 📊 Progress Tracking: Understands your task lists and development phases
• 🤖 AI Agent Integration: Seamless MCP integration with Claude Code and Cursor
• 🔄 Flexible Workflows: GitHub PR reviews, project analysis, or custom scopes
• ⚡ Smart Defaults: Auto-detects what to review based on your project state

🚀 Claude Code Installation

Option A: Install the MCP server to Claude Code as user-scoped MCP server:

claude mcp add-json gemini-code-review -s user '{"command":"uvx","args":["gemini-code-review-mcp"],"env":{"GEMINI_API_KEY":"your_key_here","GITHUB_TOKEN":"your_key_here"}}'

(-s user installs as user-scoped and will be available to you across all projects on your machine, and will be private to you. Omit -s user to install the as locally scoped.)

Option B: Install the MCP server to Claude Code as project-scoped MCP server:

claude mcp add-json gemini-code-review -s project /path/to/server '{"type":"stdio","command":"npx","args":["gemini-code-review"],"env":{"GEMINI_API_KEY":"your_key_here","GITHUB_TOKEN":"your_key_here"}}'

The command above creates or updates a .mcp.json file to the project root with the following structure:

{
  "mcpServers": {
    "gemini-code-review": {
      "command": "/path/to/server",
      "args": ["gemini-code-review"],
      "env": {"GEMINI_API_KEY":"your_key_here","GITHUB_TOKEN":"your_key_here"}
    }
  }
}

Get your Gemini API key: https://ai.google.dev/gemini-api/docs/api-key

Get your GitHub token: https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token

Docs for setting up MCP for Claude Code: https://docs.anthropic.com/en/docs/claude-code/tutorials#set-up-model-context-protocol-mcp

Troubleshooting MCP Installation

If the MCP tools aren't working:

1. Check your installation: claude mcp list
2. Verify API key is set: claude mcp get gemini-code-review
3. If API key shows empty, remove and re-add:

   claude mcp remove gemini-code-review
   claude mcp add-json gemini-code-review -s user '{"type":"stdio","command":"npx","args":["@modelcontextprotocol/server-gemini-code-review"],"env":{"GEMINI_API_KEY":"your_key_here","GITHUB_TOKEN":"your_key_here"}}'
   

   (Make sure you replace /path/to/server with the path to your server executable)
4. Always restart Claude Desktop after any MCP configuration changes

📋 Available MCP Tools

Tool	Purpose	Key Options
generate_ai_code_review	Complete AI code review	project_path, model, scope
generate_pr_review	GitHub PR analysis	github_pr_url, project_path
generate_code_review_context	Build review context	project_path, scope, enable_gemini_review
generate_meta_prompt	Create contextual prompts	project_path, text_output
generate_file_context	Generate context from specific files	file_selections, user_instructions

📖 Detailed Tool Examples

AI Code Review

// Quick project review
{
  tool_name: "generate_ai_code_review",
  arguments: {
    project_path: "/path/to/project",
    model: "gemini-2.5-pro"  // Optional: use advanced model
  }
}

GitHub PR Review

// Analyze GitHub pull request
{
  tool_name: "generate_pr_review",
  arguments: {
    github_pr_url: "https://github.com/owner/repo/pull/123"
  }
}

File-Based Context Generation

// Generate context from specific files
{
  tool_name: "generate_file_context",
  arguments: {
    file_selections: [
      { path: "src/main.py" },
      { path: "src/utils.py", line_ranges: [[10, 50], [100, 150]] }
    ],
    project_path: "/path/to/project",
    user_instructions: "Review for security vulnerabilities"
  }
}

Common Workflows

Quick Project Review

Human: Generate a code review for my project

Claude: I'll analyze your project and generate a comprehensive review.

[Uses generate_ai_code_review with project_path]

GitHub PR Review

Human: Review this PR: https://github.com/owner/repo/pull/123

Claude: I'll fetch the PR and analyze the changes.

[Uses generate_pr_review with github_pr_url]

Custom Model Review

Human: Generate a detailed review using Gemini 2.5 Pro

Claude: I'll use Gemini 2.5 Pro for a more detailed analysis.

[Uses generate_ai_code_review with model="gemini-2.5-pro"]

File-Specific Review

Human: Review these specific files for security issues: auth.py, database.py lines 50-100

Claude: I'll generate context from those specific files and line ranges.

[Uses generate_file_context with file_selections and security-focused instructions]

⚙️ Configuration

Environment Variables

Variable	Required	Default	Description
GEMINI_API_KEY	✅	-	Your Gemini API key
GITHUB_TOKEN	⬜	-	GitHub token for PR reviews (create one)
GEMINI_MODEL	⬜	gemini-2.0-flash	AI model selection
GEMINI_TEMPERATURE	⬜	0.5	Creativity (0.0-2.0)

Automatic Configuration Discovery

The tool automatically discovers and includes:

• 📁 CLAUDE.md files at project/user/enterprise levels
• 📝 Cursor rules (.cursorrules, .cursor/rules/*.mdc)
• 🔗 Import syntax (@path/to/file.md) for modular configs

✨ Key Features

• 🤖 Smart Context - Automatically includes CLAUDE.md, task lists, and project structure
• 🎯 Flexible Scopes - Review PRs, recent changes, or entire projects
• ⚡ Model Selection - Choose between Gemini 2.0 Flash (speed) or 2.5 Pro (depth)
• 🔄 GitHub Integration - Direct PR analysis with full context
• 📊 Progress Aware - Understands development phases and task completion

🖥️ CLI Usage

Alternative: Command-line interface for development/testing

Installation

# Quick start with uvx (no install needed)
uvx gemini-code-review-mcp /path/to/project

# Or install globally
pip install gemini-code-review-mcp

Commands

# Basic review
generate-code-review /path/to/project

# Advanced options
generate-code-review . \
  --scope full_project \
  --model gemini-2.5-pro

# File-based context generation
generate-code-review . \
  --files src/main.py src/utils.py:10-50 \
  --file-instructions "Review for performance issues"

# Meta-prompt only
generate-meta-prompt --project-path . --stream

Supported File Formats

• 📋 Task Lists: /tasks/tasks-*.md - Track development phases
• 📄 PRDs: /tasks/prd-*.md - Project requirements
• 📦 Configs: CLAUDE.md, .cursorrules - Coding standards

🆘 Troubleshooting

• Missing API key? → Get one at ai.google.dev
• MCP not working? → Run claude mcp list to verify installation
• Old version cached? → Run uv cache clean

📦 Development

# Setup
git clone https://github.com/yourusername/gemini-code-review-mcp
cd gemini-code-review-mcp
pip install -e ".[dev]"

# Testing commands
python -m pytest tests/    # Run all tests in venv
make lint                  # Check code style
make test-cli             # Test CLI commands

📏 License

MIT License - see LICENSE file for details.

👥 Credits

Built by Nico Bailon.