Automate

Code Reviews

Automated AI code reviews for every pull request:

• Code Reviews — AI-powered PR reviews
• Automated analysis on PR open/update
• Customizable review styles (Strict, Balanced, Lenient)
• Focus areas: Security, Performance, Bug Detection, Style, Tests, Documentation

Agent Manager

Manage and orchestrate multiple AI agents:

• Agent Manager — Control panel for running agents
• Local and cloud-synced sessions
• Parallel Mode with Git worktree isolation
• Resume existing sessions

MCP (Model Context Protocol)

Connect Kilo Code to external tools and services:

• MCP Overview — Introduction to the Model Context Protocol
• What is MCP? — Understanding MCP architecture
• Using MCP in Kilo Code — Configuration guide
• STDIO & SSE Transports — Local and remote server options
• MCP vs API — When to use MCP
• Using MCP in CLI — CLI-specific MCP setup

Integrations

Connect Kilo Code with your development tools:

• Integrations — Available integrations overview
• GitHub integration for deployments and code reviews
• GitHub Actions for CI/CD workflows
• Custom integrations via MCP

Extending Kilo

Customize and extend Kilo Code's capabilities:

• Local Models — Run local AI models
• Shell Integration — Shell command integration
• Auto-Launch — Automatic agent startup

Common Automation Patterns

• PR-triggered reviews — Automatically review code on every pull request
• Scheduled scans — Run security or code quality scans on a schedule
• CI/CD integration — Integrate with GitHub Actions and other CI systems
• Custom MCP servers — Build your own tools and integrations

Get Started

1. Set up the Agent Manager for local automation
2. Configure MCP servers for external integrations
3. Enable Code Reviews for your repositories
4. Explore integrations to connect your toolchain