How to Use the Amazon S3 Bucket MCP in Claude

Read, write, and manage your cloud files directly inside Claude Desktop without leaving your chat.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Amazon S3 Bucket MCP to Claude Desktop

Create your Vinkius account to connect Amazon S3 Bucket to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Amazon S3 Bucket with Claude Desktop

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Explore and read files with Claude Desktop

The Amazon S3 Bucket MCP Server lets your desktop agent inspect your files on the fly. By running `list_objects` inside Claude Desktop, you get a clean view of your S3 storage without leaving the chat interface. If you ask Claude Desktop to pull a specific text file, the agent uses `get_object_data` to load that S3 payload directly into your conversational sidebar. You don't have to download huge files to your machine or open the AWS console. Your Claude Desktop agent pulls the exact metadata it needs using `get_object_metadata` directly in your chat sidebar.

Write and delete bucket assets instantly

This Amazon S3 Bucket MCP Server handles file uploads and deletions directly from your Claude Desktop input box. You can ask Claude Desktop to execute `put_object` to upload local logs or chat transcripts to your designated S3 bucket. When pruning old S3 files, Claude Desktop runs `delete_object` to safely remove them from your cloud storage. Your agent handles the API calls securely in the background.

Inspect bucket security rules in chat

The Amazon S3 Bucket MCP Server exposes security configurations directly to your Claude Desktop sidebar. Your Claude Desktop agent calls `get_bucket_policy` to retrieve the active S3 policy and check your access levels. By executing `get_bucket_acl` within Claude Desktop, you can confirm whether your S3 files are private or public. This helps you verify that your single-bucket setup is locked down.

Setup guide

Set up Amazon S3 Bucket MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Amazon S3 Bucket MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Amazon S3 Bucket MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under amazon-s3-bucket-mcp.

json

{
  "mcpServers": {
    "amazon-s3-bucket-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amazon S3 Bucket. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Amazon S3 Bucket now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Amazon S3 Bucket MCP in Claude Desktop

Yes, you can run the Amazon S3 Bucket MCP Server on Windows by adding its configuration to your local Claude Desktop config file. Once configured, your Claude Desktop agent will call tools like `list_objects` directly from your local machine.

Look for the hammer icon in your Claude Desktop chat input box to see active S3 tools. If you see `get_object_data` and `list_objects` listed, your Claude Desktop client is successfully talking to your Amazon S3 Bucket.

Yes, you can drag a file into Claude Desktop and ask the agent to upload it. The Claude Desktop agent will execute `put_object` to write that file directly to your Amazon S3 Bucket.

Yes, you control this by configuring your AWS credentials to block write actions before connecting Claude Desktop. If your IAM policy blocks `put_object`, Claude Desktop will only be able to read your Amazon S3 Bucket data.

Your Amazon S3 Bucket objects and metadata are transferred directly between Claude Desktop and AWS using secure HTTPS. Vinkius does not store or intercept your S3 files, keeping your cloud data strictly private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript