Amazon S3 Connector for AI agents.
10 live capabilities
Manage AWS cloud storage and bucket policies through your AI client.
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Why people use Amazon S3
Amazon S3 for AWS Cloud Storage Audits
With this Connector, you just ask your agent to check the bucket policy. It pulls the data directly, interprets it for you, and tells you exactly who has access. You get a clear picture of your cloud security without ever opening a browser.
What Vinkius changes
You get full control over your AWS S3 storage using plain English commands.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Auditing permissions
A security analyst finds a bucket with a weird policy.
- Real-world use case 02
Data discovery
A data scientist needs a specific CSV from 2024.
- Real-world use case 03
Infrastructure cleanup
A DevOps lead wants to delete old test buckets.
Complete set · 10capabilities
The complete Amazon S3 capability set.
These are the exact actions your AI can choose when you ask it to work with Amazon S3.
01—04
4 capabilities in this set.
Part of 10 available through Amazon S3.
- 01 Capability
Delete bucket
Remove an S3 bucket from your account. This is useful for cleaning up old infrastructure or decommissioned projects.
- 02 Capability
List objects
List files within a specific bucket, including filtering by prefix. It's the fastest way to find specific assets in a large folder.
- 03 Capability
Get object metadata
Get headers, content types, and sizes for objects. This lets you inspect files without having to download them first.
- 04 Capability
Get object data
Retrieve the actual content of an S3 object. Use this when your agent needs to read the file data directly.
05—07
3 capabilities in this set.
Part of 10 available through Amazon S3.
- 05 Capability
Put object
Upload a file or object to your S3 storage. This lets your agent move data into the cloud for you.
- 06 Capability
Delete object
Delete a specific object from a bucket. Use this to remove unwanted files or manage storage hygiene.
- 07 Capability
Get bucket policy
Retrieve the JSON policy for a bucket. This is essential for checking who has access to your data.
08—10
3 capabilities in this set.
Part of 10 available through Amazon S3.
- 08 Capability
Get bucket acl
Get the Access Control List for a bucket. Use this to verify specific permissions for users and groups.
- 09 Capability
List buckets
See every S3 bucket in your AWS account. This helps you get a quick overview of your current storage structure.
- 10 Capability
Create bucket
Create a new S3 bucket instantly. Use this to set up new storage areas for projects or applications.
Set up in minutes
One URL. Then ask Amazon S3 to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Amazon S3 from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_d84yR0sPWaw4HIjFwh5LmwYsw8pIgMg5u6psTyGK/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Amazon S3, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Amazon S3 for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_d84yR0sPWaw4HIjFwh5LmwYsw8pIgMg5u6psTyGK/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Amazon S3 URL.
- Step 03
Save and start
Save the connection and enable Amazon S3 in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-s3": {
"url": "https://edge.vinkius.com/vk_preview_d84yR0sPWaw4HIjFwh5LmwYsw8pIgMg5u6psTyGK/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Amazon S3
Open Agent mode in chat and ask: "Using Amazon S3, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-s3": {
"url": "https://edge.vinkius.com/vk_preview_d84yR0sPWaw4HIjFwh5LmwYsw8pIgMg5u6psTyGK/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Amazon S3
Ask Copilot: "Using Amazon S3, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-s3": {
"url": "https://edge.vinkius.com/vk_preview_d84yR0sPWaw4HIjFwh5LmwYsw8pIgMg5u6psTyGK/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Amazon S3
Open Cascade and ask: "Using Amazon S3, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-s3": {
"url": "https://edge.vinkius.com/vk_preview_d84yR0sPWaw4HIjFwh5LmwYsw8pIgMg5u6psTyGK/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Amazon S3
Ask Cline: "Using Amazon S3, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add amazon-s3 --transport http "https://edge.vinkius.com/vk_preview_d84yR0sPWaw4HIjFwh5LmwYsw8pIgMg5u6psTyGK/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Amazon S3
Ask Claude: "Using Amazon S3, show me...". 10 tools are ready
Where the request belongs
Work Amazon S3 can move forward.
This is for the cloud engineer who's tired of hunting through the AWS console at 2am or the data scientist who needs to find specific files in a massive data lake without opening a terminal.
Cloud Engineer
Automates bucket audits and verifies configurations to ensure production environments stay stable.
Data Scientist
Quickly locates specific datasets or lists objects in a data lake to grab the right files for training.
DevOps Specialist
Monitors S3 policies and manages file cleanups to keep cloud costs from spiraling out of control.
Security Analyst
Audits bucket access controls to identify exposed data and ensure compliance with company standards.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Amazon S3 Bucket
Single-bucket object storage for AI agents. scoped access to one S3 bucket for secure, focused data operations.
Backblaze B2
Manage Backblaze B2 Cloud Storage via AI. control buckets, file versions, objects, and access rules autonomously.
Aliyun OSS / 阿里云对象存储
China's leading object storage service. manage files, buckets, and metadata via AI.
Google Cloud Storage
Manage your GCS buckets and objects. list files, upload data, and audit permissions via AI.
Wasabi
Manage buckets, objects, and versioning on Wasabi. the hot cloud storage for high-performance data residency.
Qiniu Cloud
Orchestrate Qiniu Cloud storage. manage buckets, handle file uploads, and monitor CDN performance directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Amazon S3 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.
The practical details behind the request, access and result.
Can the Amazon S3 MCP create new buckets for me?
Yes, you can ask your agent to create new buckets directly. It will handle the naming and setup based on your instructions, so you don't have to manually configure them in the AWS console.
How do I use the Amazon S3 MCP to check my security settings?
You can ask your agent to retrieve the bucket policy or ACL for any specific bucket. It will show you exactly who has access, helping you spot any security gaps instantly.
Can I use the Amazon S3 MCP to move files into my cloud storage?
Yes, your agent can upload objects directly to S3 using the put_object capability. You just tell it what to upload and where it should go, and it handles the rest.
Will the Amazon S3 MCP help me save money on my AWS bill?
It can help by making it easier to identify and delete old or unnecessary files. You can ask your agent to list objects and then delete the ones you no longer need to keep your storage costs down.
Does the Amazon S3 MCP work with Claude and Cursor?
Yes, this Connector is designed to work with any MCP-compatible client, including Claude, Cursor, and Windsurf. Once connected, you can manage your S3 storage directly from those apps.
Can I see the file size of my S3 objects without downloading them?
Yes, the Connector can retrieve object metadata. This means your agent can tell you the file size, content type, and other details without actually downloading the full file.
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.
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.
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.
One connection away
Give your agent a direct line to Amazon S3.
Connect Amazon S3 once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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