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

# Introduction

> Welcome to Gumnut - the platform for photo intelligence

## What is Gumnut?

Gumnut is an AI-powered, open alternative to Google and Apple Photos, designed
from the ground up to support a wide variety of human and agentic use cases
through its API, SDK, and MCP server. Gumnut also supplies an Immich API
compatibility layer, so that apps and tools built for Immich will also work
with Gumnut.

Gumnut is perfect for:

* **Personal Photo Management** - Organize your photo library with AI assistance
* **Developer Integration** - Build custom photo applications and workflows
* **AI Tool Enhancement** - Use with Claude, Cursor, and other AI coding assistants
* **Photo Backup Solutions** - Automated backup and organization systems
* **Creative Projects** - Transform and manipulate photos programmatically

## Key Features

### AI-Powered Organization

Gumnut uses advanced machine learning to automatically:

* Generate searchable embeddings for semantic search
* Detect and recognize faces in your photos
* Group similar faces together as people
* Extract metadata and EXIF information

### Developer-First Platform

Built with developers in mind, Gumnut provides:

* **RESTful API** - Full programmatic access to all features
* **Native SDKs** - TypeScript, Python, and more
* **MCP Server** - Model Context Protocol integration for AI agents
* **[Immich Compatibility](/guides/immich/overview)** - Works with existing Immich apps and tools

### No lock-in

Your photos remain yours:

* API-first architecture gives you full control over every Gumnut resource
* Open APIs ensure you can access and export your data anytime, including metadata generated by Gumnut

## Getting Started

Ready to begin? Head to the [Quickstart guide](/guides/getting-started/quickstart) to create your account and start uploading photos. You can use the Immich mobile app, the web interface at [immich.gumnut.ai](https://immich.gumnut.ai), or the REST API to get started.

For developers, check out the [API Overview](/guides/apis/overview) to make your first API calls, or set up the [MCP server](/guides/mcp/setup) to connect AI assistants to your photo library. If you're coming from the Immich ecosystem, see the [Immich compatibility guide](/guides/immich/overview).