• INVENTORY
  • COST
  • VALIDATION
  • HUMAN

How to inspect S3 object metadata with your AI

Connect your S3 bucket once. From then on, your AI can pull file details through chat.

Ask AI about this page

Short answer

Can I check S3 file info without downloading them?

Yes. Your AI pulls metadata like size and type directly from S3. This lets you audit your bucket without the cost or time of downloading the actual data. You'll see how the AI handles these requests below.

What you get.

Data outcomes.

The AI turns S3 headers into clear answers.

INVENTORY

File type audits

The AI scans your bucket to identify file extensions and MIME types. You get a clear view of what's stored.

COST

Size monitoring

Your agent pulls the size of every object. Use this to find massive files that drive up storage costs.

VALIDATION

Header checks

The AI reads specific metadata tags. This helps you verify if files have the correct processing flags.

HUMAN

Manual decisions

The AI flags files that meet certain criteria. You decide which objects to delete or move.

The workflow

What your AI does when the request arrives.

The AI acts as a bridge between your chat and your S3 buckets.

  1. Find files

    The AI identifies which objects exist in your bucket or specific folder.

    list_objects

  2. Fetch headers

    The AI pulls the specific metadata for a single file to see its properties.

    get_object_metadata

  3. Compare data

    The AI checks the retrieved sizes and types against your specific rules.

    get_object_metadata

  4. Summarize

    The AI presents the file list or metadata details in your chat window.

    list_objects

Try it

Copy these to start.

Use these prompts to begin interacting with your S3 data.

Starting points

Swap the bucket names and folder paths for your own.

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"
    }
  }
}
Copy into chat04

  • List all the files in my bucket named 'production-assets'.

  • What is the file size of the object at 'logs/error_log.txt'?

  • Find all files in the 'uploads/' folder that are larger than 100MB.

  • Show me the custom metadata headers for the file 'config/settings.json'.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Amazon S3 once, then ask.

One connection links your S3 credentials to your AI client. Your login info stays encrypted, and you can start asking questions immediately.

Connect Amazon S3 to your AI

FAQ

How this task behaves.

  • 01

    Does the AI download my files to read them?

    No. The AI only pulls metadata headers. The actual file content stays in S3.

  • 02

    Can the AI delete files in my bucket?

    No. This MCP only has tools to list and read metadata. It cannot modify or delete your data.

  • 03

    Can I use this to search for text inside a file?

    No. Since the AI doesn't download the file content, it cannot perform a text search within the data itself.

  • 04

    Can I see the file size of every object in a bucket?

    Yes. The AI can list the objects and retrieve the size metadata for each one.

  • 05

    Do I need to provide AWS credentials every time?

    No. You connect the MCP once, and Vinkius manages the connection for your AI client.

  • More questions about Amazon S3? The Connector page answers them. See everything the Amazon S3 Connector can do

Connect Amazon S3 to Claude, Cursor, ChatGPT & more