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.

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).

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.

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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Connect Amazon S3 Bucket 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. Give your AI agent precise, limited access to one data workspace.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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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 · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

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

Capability set02 / 02

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

Real work

What teams actually run

Data Lake Partitioning

Use the MCP to let an agent process raw data, write the results to a specific partition, and then delete the temporary input files.

Agent Sandboxing

Assign a dedicated, single-bucket workspace to a new agent. This keeps its operations isolated from your main production data.

Compliance Auditing

Run the agent to check the bucket's policy and ACL. This confirms that all data access rules meet industry compliance standards.

Workflow Automation

Automate a process where the agent reads a JSON configuration, processes it, and then uploads the updated version back to the same bucket.

Automate a task

Put Amazon S3 Bucket 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 Bucket 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 Bucket 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

881ms average. Fast in production.

Amazon S3 Bucket is checked daily against the live service.

Daily averagePeak 973ms

Oct 3Today

Fastest day: 654ms
Slowest day: 973ms
14-day trend: Stable+1%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_Svnxbobq9VkWodwXtyUaG8rqsIyf195UGarUTTHJ/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 Bucket capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "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

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

See all the AI clients this connector works with ↑

Who it's for

Built for the work Amazon S3 Bucket owners hand off.

This MCP is essential for teams that need to give their AI agents specific, limited access to cloud data. It's designed for environments where security and compliance are non-negotiable, ensuring agents only interact with designated data workspaces.

01
AI Engineers
Give each agent a dedicated data workspace without exposing your entire cloud storage.
02
Data Teams
Let agents process, query, and write results to a specific data lake partition.
03
Platform Engineers
Enforce tenant isolation by assigning one bucket per agent or workflow.
04
Security-Conscious Teams
Minimize attack surface by scoping storage access to exactly what's needed.

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.

Explore

More in Industry Titans

Connect Amazon S3 Bucket 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

Get object data

Get object metadata

Put object

Get bucket policy

05-07

Delete object

Get bucket acl

List objects

What teams actually run

Data Lake Partitioning

Agent Sandboxing

Compliance Auditing

Workflow Automation

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

Amazon S3 Bucket Connector

Claude Desktop

AI Engineers

Data Teams

Platform Engineers

Security-Conscious Teams

How is this different from the full Amazon S3 server?

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

Can I upload large files using this integration?

Can my agent access multiple buckets?

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