---
title: "Amazon S3"
description: "Connect S3 and S3-compatible storage directly in meinGPT"
canonical_url: "https://meingpt.com/en/docs/integrations/sources/s3"
language: en
---

# Amazon S3

## Set up in meinGPT

Open **Settings → Data sources** and click **Add data source**. Choose Amazon S3 (or an S3-compatible storage) and fill in the following fields:

| Field | Required | Description |
| --- | --- | --- |
| **Endpoint** | ✅ | e.g. `s3.amazonaws.com`, or the endpoint of your S3-compatible storage (MinIO, DigitalOcean Spaces, …) |
| **Access Key ID** | ✅ | Access key ID of the IAM user |
| **Secret Access Key** | ✅ | Secret access key of the same user |
| **Bucket Name** | ✅ | The bucket meinGPT should read |
| **Base Path** | optional | Folder prefix, if only part of the bucket should be indexed |

Click **Connect** to create the source and start the first sync.

Amazon S3 runs as a Cloud data source; it needs no Outpost of your own, and this source type is not available for on-premise Outpost deployments.

## Create credentials in AWS

meinGPT only needs read access to the bucket:

1. **Create an IAM user** — [AWS IAM Console](https://console.aws.amazon.com/iam/)
2. **Attach a policy** — read access (`s3:GetObject`, `s3:ListBucket`) to the target bucket
3. **Generate access keys** — copy the access key ID and secret access key into the form above

For S3-compatible providers (MinIO, DigitalOcean Spaces, …), the same flow applies at that provider instead of AWS IAM.

## Synchronization

- meinGPT connects to the configured bucket and syncs objects below the base path.
- Later runs only process changes.
- For large buckets, start with a narrow base path for a safer rollout.