Use Amazon S3 Bucket with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Single-bucket object storage for AI agents. scoped access to one S3 bucket for secure, focused data operations.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 7 capabilities
The complete Amazon S3 Bucket capability set.
These are the exact actions your AI can choose when you ask it to work with Amazon S3 Bucket.
01-04
4 capabilities in this set.
Part of 7 available through Amazon S3 Bucket.
- 01
Get object data
Get object content
- 02
Get object metadata
Get object metadata
- 03
Put object
Upload an object
- 04
Get bucket policy
Get bucket policy
05-07
3 capabilities in this set.
Part of 7 available through Amazon S3 Bucket.
- 05
Delete object
Delete an object
- 06
Get bucket acl
Get bucket ACL
- 07
List objects
Can be filtered by prefix and delimiter. List objects in the bucket
Observed, not estimated
849ms average. Fast in production.
Amazon S3 Bucket is checked daily against the live service.
- Fastest day
- 706ms
- Slowest day
- 1081ms
- 14-day trend
- Slowing+26%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Amazon S3 Bucket, so you can see the experience inside your AI.
It does not authenticate your account with Amazon S3 Bucket. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Amazon S3 Bucket Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Svnxbobq9VkWodwXtyUaG8rqsIyf195UGarUTTHJ/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Amazon S3 Bucket capabilities are ready to use.
{
"mcpServers": {
"amazon-s3-bucket-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Svnxbobq9VkWodwXtyUaG8rqsIyf195UGarUTTHJ/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Amazon S3 Bucket owners ask.
- 01
How is this different from the full Amazon S3 server?
The full Amazon S3 server gives the agent access to all buckets in your AWS account. it can list, create, and delete buckets. This server scopes the agent to a single, pre-configured bucket. The agent can only read, write, and manage objects within that bucket. This follows the principle of least privilege, which is critical for secure agent deployments.
- 02
How do I get my AWS Access Key and Secret Key?
Log in to the AWS Management Console, navigate to IAM (Identity and Access Management), and create a user with programmatic access. For this integration, we recommend a policy scoped to a single bucket (e.g., s3:GetObject, s3:PutObject, s3:DeleteObject, s3:ListBucket limited to your target bucket ARN).
- 03
Can I upload large files using this integration?
The put_object capability handles standard REST uploads and is best suited for small to medium-sized files or JSON data. For very large files, standard AWS capabilities utilizing Multipart Uploads are recommended.
- 04
Can my agent access multiple buckets?
Each instance of this server is scoped to exactly one bucket. If your agent needs access to multiple buckets, you can subscribe to this server multiple times. each with a different bucket configuration. This maintains strict isolation between data boundaries.
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