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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Amazon S3 with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Cloud object storage orchestration. manage buckets, objects, and metadata via AI.

Included with plan

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete Amazon S3 capability set.

These are the exact actions your AI can choose when you ask it to work with Amazon S3.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Amazon S3.

  1. 01

    Delete bucket

    Delete an S3 bucket

  2. 02

    List objects

    Can be filtered by prefix. List objects in bucket

  3. 03

    Get bucket acl

    Get bucket ACL

  4. 04

    Get bucket policy

    Get bucket policy

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Amazon S3.

  1. 05

    Get object data

    Get object content

  2. 06

    Put object

    Upload an object

  3. 07

    List buckets

    List S3 buckets

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Amazon S3.

  1. 08

    Create bucket

    Create an S3 bucket

  2. 09

    Delete object

    Delete an object

  3. 10

    Get object metadata

    Get object metadata

Observed, not estimated

882ms average. Fast in production.

Amazon S3 is checked daily against the live service.

Daily averagePeak 1176ms
Aug 20Today
Fastest day
748ms
Slowest day
1176ms
14-day trend
Slowing+9%

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.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 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

FAQ

Questions Amazon S3 owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.

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