Do I need to write any code to use this MCP?

No. You don't write code. You simply talk to your AI client using natural language. The MCP handles the complex API calls behind the scenes.

Can I check if my buckets are public?

Yes. You can use the MCP to retrieve the bucket's Access Control List (ACL) and its full policy document. This lets you audit the security settings instantly.

What kind of data can I manage?

This MCP handles all types of cloud object data, including logs, images, datasets, and backups. You can list, upload, download, and delete them.

Is this MCP only for listing files?

No. It's for full orchestration. You can create new buckets, delete entire buckets, and manage the lifecycle of your data objects.

What credentials do I need to connect?

You must provide your AWS Access Key, Secret Key, and the specific AWS Region for the MCP to function.

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. Ensure this user has S3 permissions (e.g., AmazonS3FullAccess). You will receive an Access Key ID and a Secret Access Key.

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.

How do I ensure my buckets are secure?

You can use the get_bucket_policy and get_bucket_acl capabilities to audit the current access controls applied to any of your buckets directly from the chat.

An astronaut overseeing a futuristic data hub

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Connect Amazon S3 to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Control your entire AWS data environment via chat.

Ask AI about this Connector

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.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Amazon S3.

01
Delete bucket
Use this capability to completely delete an existing S3 bucket.
02
List buckets
Lists all the S3 buckets available in your AWS account.
03
Create bucket
Creates a brand new S3 bucket in your account.
04
List objects
List the objects inside a specific bucket. You can filter this list by a given prefix to narrow down results.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Amazon S3.

05
Get object metadata
Retrieves technical metadata (like headers, content type, and size) for an object without downloading its content.
06
Get object data
Retrieves the actual content of a specific object in S3.
07
Put object
Uploads a new object or overwrites an existing object in a specified bucket.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Amazon S3.

08
Delete object
Deletes a specific object from an S3 bucket.
09
Get bucket policy
Fetches the full policy document attached to an S3 bucket.
10
Get bucket acl
Retrieves the Access Control List (ACL) for a specified S3 bucket.

Real work

What teams actually run

Data Cleanup

You need to delete all log files older than a certain date. Your agent can list objects and then delete them in bulk.

Compliance Audit

A security team requires proof that no bucket is publicly readable. You run get_bucket_policy on every target bucket.

Data Discovery

A data scientist needs to know what files exist in the raw data lake. You ask the agent to list objects by a specific prefix.

Content Migration

You need to move a large set of images. You use put_object to upload the new files and delete_object to clean up the old ones.

Automate a task

Put Amazon S3 to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Amazon S3 works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Amazon S3 to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

884ms average. Fast in production.

Amazon S3 is checked daily against the live service.

Daily averagePeak 1011ms

Oct 3Today

Fastest day: 693ms
Slowest day: 1011ms
14-day trend: Improving-12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 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, so you can see the experience inside your AI.

It does not authenticate your account with Amazon S3. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Amazon S3 Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_d84yR0sPWaw4HIjFwh5LmwYsw8pIgMg5u6psTyGK/mcp

Claude 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 capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "amazon-s3-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_d84yR0sPWaw4HIjFwh5LmwYsw8pIgMg5u6psTyGK/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

Guided setup for Claude? Set up Amazon S3 in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Amazon S3 owners hand off.

This MCP is essential for anyone managing large, complex data sets in AWS. It gives you the power to audit, move, and inspect data assets without needing to write complex code or navigate multiple console screens. It puts the full power of S3 management right into your chat interface.

01
Cloud Engineers
Automate bucket audits and verify object configurations effortlessly using the MCP.
02
Data Scientists
Quickly find specific datasets or list objects in your data lake directly from a conversational prompt.
03
DevOps Specialists
Monitor S3 policies and manage file cleanups using simple, direct commands.
04
Security Analysts
Audit bucket access controls and identify exposed data by querying policies and ACLs.

FAQ

Questions Amazon S3 owners ask.

01
Do I need to write any code to use this MCP?
No. You don't write code. You simply talk to your AI client using natural language. The MCP handles the complex API calls behind the scenes.
02
Can I check if my buckets are public?
Yes. You can use the MCP to retrieve the bucket's Access Control List (ACL) and its full policy document. This lets you audit the security settings instantly.
03
What kind of data can I manage?
This MCP handles all types of cloud object data, including logs, images, datasets, and backups. You can list, upload, download, and delete them.
04
Is this MCP only for listing files?
No. It's for full orchestration. You can create new buckets, delete entire buckets, and manage the lifecycle of your data objects.
05
What credentials do I need to connect?
You must provide your AWS Access Key, Secret Key, and the specific AWS Region for the MCP to function.
06
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. Ensure this user has S3 permissions (e.g., AmazonS3FullAccess). You will receive an Access Key ID and a Secret Access Key.
07
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.
08
How do I ensure my buckets are secure?
You can use the get_bucket_policy and get_bucket_acl capabilities to audit the current access controls applied to any of your buckets directly from the chat.

Explore

More in Industry Titans

Connect Amazon S3 to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Delete bucket

List buckets

Create bucket

List objects

05-07

Get object metadata

Get object data

Put object

08-10

Delete object

Get bucket policy

Get bucket acl

What teams actually run

Data Cleanup

Compliance Audit

Data Discovery

Content Migration

Building your own app? The connector is yours to use.

Amazon S3 Connector

Claude Desktop

Cloud Engineers

Data Scientists

DevOps Specialists

Security Analysts

Do I need to write any code to use this MCP?

Can I check if my buckets are public?

What kind of data can I manage?

Is this MCP only for listing files?

What credentials do I need to connect?

How do I get my AWS Access Key and Secret Key?

Can I upload large files using this integration?

How do I ensure my buckets are secure?

Google Cloud Storage Bucket AI Connector

Google Cloud Storage AI Connector

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