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Vinkius

Amazon S3 Bucket Connector for AI agents.

7 live capabilities

Securely manage cloud object storage for your autonomous workflows.

Live agent request Amazon S3 Bucket / Connector

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AI Agent

Why people use Amazon S3 Bucket

Amazon S3 Bucket for Secure Cloud Data Management

This Connector changes the game by creating a dedicated lane for your agent. You point it at one bucket, and it can handle the heavy lifting of reading, writing, and organizing files. You get a secure workspace where your agent can actually be useful without being a liability.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get secure, scoped storage for your agent without opening up your whole AWS account.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Training a model on a specific dataset

    Give the agent a bucket containing only the training images.

  2. Real-world use case 02

    Automated logging

    Let the agent use put_object to save every step of a long-running task into a log bucket for later review.

  3. Real-world use case 03

    Data cleaning

    Have the agent list_objects, identify duplicates based on metadata, and delete them to save storage space.

Complete set · 7capabilities

The complete Amazon S3 Bucket capability set.

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

Capability set01 / 02

01—04

4 capabilities in this set.

Part of 7 available through Amazon S3 Bucket.

  1. 01 Capability

    Get bucket policy

    Retrieve the bucket's access policy. It's the best way to audit your security settings.

  2. 02 Capability

    Get object data

    Pull the actual content of a file. This lets your agent read the data it needs to process.

  3. 03 Capability

    Get object metadata

    Get the headers and size of a file. Use this to inspect a file without downloading the whole thing.

  4. 04 Capability

    Put object

    Upload a string or JSON file to the bucket. This is how your agent saves its work or logs.

Capability set02 / 02

05—07

3 capabilities in this set.

Part of 7 available through Amazon S3 Bucket.

  1. 05 Capability

    Delete object

    Remove a specific file from the bucket. This helps keep your storage clean and organized.

  2. 06 Capability

    Get bucket acl

    View the access control list for the bucket. Use this to check who has permission to see your files.

  3. 07 Capability

    List objects

    See what files are in the bucket. You can filter them by prefix to find specific folders.

Set up in minutes

One URL. Then ask Amazon S3 Bucket to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Amazon S3 Bucket from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_Svnxbobq9VkWodwXtyUaG8rqsIyf195UGarUTTHJ/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Amazon S3 Bucket, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Amazon S3 Bucket for the conversation.

Where the request belongs

Work Amazon S3 Bucket can move forward.

Built around the request

The AI engineer who needs to give an agent a workspace without risking a security breach. It's for anyone who needs to isolate data for specific workflows.

01

AI Engineer

Setting up dedicated data workspaces for different autonomous agents to ensure they don't interfere with each other.

02

Data Analyst

Letting an agent process, query, and save results to a specific data lake partition without touching the rest of the lake.

03

Security Architect

Enforcing strict tenant isolation by assigning one bucket per agent or workflow to minimize the attack surface.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Amazon S3 logo
01 10 capabilities

Amazon S3

Cloud object storage orchestration. manage buckets, objects, and metadata via AI.

View Connector
Backblaze B2 logo
02 10 capabilities

Backblaze B2

Manage Backblaze B2 Cloud Storage via AI. control buckets, file versions, objects, and access rules autonomously.

View Connector
Wasabi logo
03 10 capabilities

Wasabi

Manage buckets, objects, and versioning on Wasabi. the hot cloud storage for high-performance data residency.

View Connector
Aliyun OSS / 阿里云对象存储 logo
04 10 capabilities

Aliyun OSS / 阿里云对象存储

China's leading object storage service. manage files, buckets, and metadata via AI.

View Connector
Google Cloud Storage logo
05 12 capabilities

Google Cloud Storage

Manage your GCS buckets and objects. list files, upload data, and audit permissions via AI.

View Connector
Google Cloud Storage Bucket logo
06 4 capabilities

Google Cloud Storage Bucket

This MCP does exactly one thing: it manages files in a single Google Cloud Storage Bucket. That's its only function, and nothing else. Incredible for giving your AI secure file storage.

View Connector

Bring your own AI

Change the model, client or framework. Keep Amazon S3 Bucket connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Amazon S3 Bucket.

The practical details behind the request, access and result.

Can I use the Amazon S3 Bucket MCP to manage my whole AWS account?

No, this Connector is intentionally scoped to a single bucket. It's designed to provide a secure sandbox for your agent so it can't access other buckets or your account-level settings.

How does the Amazon S3 Bucket MCP keep my data safe?

It follows the principle of least privilege. By connecting your agent to only one specific bucket, you ensure it can't see, move, or delete data in any other part of your cloud storage.

Can my AI agent delete files with this Connector?

Yes, your agent can use the delete_object capability to remove specific files. This is useful for letting your agent clean up its own temporary files or old logs.

Does the Amazon S3 Bucket MCP support different regions?

Yes, you can specify your preferred AWS region during the initial setup process to ensure your agent connects to the correct geographic location.

Can I use this to store JSON files?

Absolutely. Your agent can use the put_object capability to upload JSON data directly into your bucket as objects, making it easy to manage configurations or structured data.

Can I use the Amazon S3 Bucket MCP to organize files into folders?

While S3 uses prefixes instead of true folders, your agent can use the list_objects capability to navigate and manage files organized by specific prefixes.

Does the Amazon S3 Bucket MCP work with other cloud providers?

This specific MCP is built for Amazon S3. If you use other providers, you would need the specific connector for that service.

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.

One connection away

Give your agent a direct line to Amazon S3 Bucket.

Connect Amazon S3 Bucket once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available