> ## Documentation Index
> Fetch the complete documentation index at: https://docs.engini.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Engini Developer Platform

> Build integrations and AI agents on Engini - REST API, Python & TypeScript SDKs, and a machine-first CLI.

Engini lets you execute integration tools across hundreds of business applications through one API - and it is built agent-first: every surface (API, SDK, CLI) is designed to be operated by AI agents as well as humans.

## Choose your surface

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/quickstart">
    Zero to first tool execution in under 10 minutes.
  </Card>

  <Card title="API Reference" icon="code" href="/api-reference">
    The Engini DeveloperAPI (`/v1`) - connections, tools, toolsets, applications.
  </Card>

  <Card title="SDKs" icon="cubes" href="/sdk/overview">
    `engini` (Python) and `@engini/sdk` (TypeScript) - typed errors, auto-pagination, OAuth flows, LLM providers.
  </Card>

  <Card title="CLI" icon="terminal" href="/cli/overview">
    The `engini` CLI - machine-first contract with stable exit codes and JSON output.
  </Card>
</CardGroup>

## Building an AI agent?

Start at [For AI Agents](/agents/overview) - it covers docs discovery (llms.txt, MCP), authentication, the recommended tool-execution loop, and wiring Engini tools into OpenAI or Anthropic tool-calling.