Overview

Handit.AI offers three flexible setup methods to help you configure and monitor your AI agents. Choose the one that best aligns with your development environment, team workflow, and level of customization.

Available Setup Methods

1. MCP Server Setup (Recommended)

Set up Handit.AI using the Model Control Protocol (MCP) server, designed for seamless integration with tools like Cursor or Claude Code.

Best for:

• Developers using Cursor or Claude Code

• Fast, streamlined setup experience

• Environments that support automated configuration

2. Context-Based Setup

Use configuration files to define and manage your agent setup. This method offers flexibility, reusability, and version control—ideal for collaborative or production environments.

Best for:

• Teams managing configuration via Git

• Projects with environment-specific setups

• Workflows that require automated deployment pipelines

3. Manual Setup

For full control, manually integrate Handit.AI into your codebase. This method is ideal for advanced users with custom integration needs.

Best for:

• Projects requiring deep customization

• Users who prefer hands-on setup

• Unique workflows or tooling

Next Steps

1. Choose your preferred setup method:

   • MCP Server Setup

   • Context-Based Setup

   • Manual Setup

2. Ensure the following prerequisites are met:

   • Node.js (v14+) or Python (3.7+)

   • A Git repository (recommended)

   • Handit.AI account with API keys and credentials

   • Required development tools (IDE, terminal, etc.)

3. Follow the step-by-step instructions for your selected method.

4. Verify your setup using the provided test scripts or sample workflows.

Common Prerequisites

Before starting any setup method, ensure you have:

• A Handit.AI account

• API keys and credentials

• Node.js (v14+) or Python (3.7+)

• Git (recommended)

• Required development tools (IDE, terminal, etc.)