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Amazon S3 Bucket

Amazon S3 Bucket MCP Server with 7 Tools for Claude, Cursor, and AI Agents

MCP Inspector GDPR Free for Subscribers

Single-bucket object storage for AI agents — scoped access to one S3 bucket for secure, focused data operations. Vinkius routes your AI agents directly to Amazon S3 Bucket through a governed connection. 7 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.

Built for AI Agents by Vinkius

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
AI AgentVinkius
High Security·Kill Switch·Plug and Play
Amazon S3 Bucket
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the Amazon S3 Bucket MCP Server?

The Amazon S3 Bucket MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to Amazon S3 Bucket via 7 tools. Single-bucket object storage for AI agents — scoped access to one S3 bucket for secure, focused data operations. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.

Built-in capabilities (7)

delete_objectget_bucket_aclget_bucket_policyget_object_dataget_object_metadatalist_objectsput_object

Tools for your AI Agents to operate Amazon S3 Bucket

Ask your AI agent "List all files in this bucket." and get the answer without opening a single dashboard. With 7 tools connected to real Amazon S3 Bucket data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.

Build your own MCP Server with our secure development framework →

The Amazon S3 Bucket App Connector works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Use all 7 Amazon S3 Bucket tools with your AI agents right now

Vinkius routes your AI agents to Amazon S3 Bucket through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.

Explore Tools Hub
delete

Delete object on Amazon S3 Bucket

Delete an object

get

Get bucket acl on Amazon S3 Bucket

Get bucket ACL

get

Get bucket policy on Amazon S3 Bucket

Get bucket policy

get

Get object data on Amazon S3 Bucket

Get object content

get

Get object metadata on Amazon S3 Bucket

Get object metadata

list

List objects on Amazon S3 Bucket

Can be filtered by prefix and delimiter. List objects in the bucket

put

Put object on Amazon S3 Bucket

Upload an object

What the Amazon S3 Bucket MCP Server unlocks

Grant your AI agent precise, scoped access to a single Amazon S3 bucket — no more, no less. Unlike full S3 access, this integration enforces the principle of least privilege: your agent can read, write, and manage objects exclusively within one pre-configured bucket.

What you can do

  • Browse Objects — List and navigate files within the bucket using prefix and delimiter filters
  • Read Data — Retrieve object contents or inspect metadata (headers, content type, size) without downloading
  • Write Data — Upload string or JSON content as objects directly into the bucket
  • Clean Up — Delete specific objects to maintain storage hygiene
  • Audit Security — Inspect the bucket's access policy and ACL to ensure compliance

How it works

1. Subscribe to this server
2. Enter your AWS Access Key, Secret Key, Region, and the target Bucket Name
3. Your agent operates exclusively within that bucket — no access to other buckets or account-level operations

Why single-bucket?

AI agents should follow the principle of least privilege. Granting full S3 access to an autonomous agent creates unnecessary blast radius. This server confines the agent to a single bucket, which means:

  • No accidental bucket creation or deletion

  • No cross-bucket data exposure

  • Clearer audit trail for compliance

  • Safer agent-to-agent delegation


Who is this for?

  • AI Engineers — give each agent a dedicated data workspace without exposing your entire cloud storage
  • Data Teams — let agents process, query, and write results to a specific data lake partition
  • Platform Engineers — enforce tenant isolation by assigning one bucket per agent or workflow
  • Security-Conscious Teams — minimize attack surface by scoping storage access to exactly what's needed

Frequently asked questions about the Amazon S3 Bucket MCP Server

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 tool handles standard REST uploads and is best suited for small to medium-sized files or JSON data. For very large files, standard AWS tools 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.

Vinkius AI Gateway

We built the connector to Amazon S3 Bucket. Now put your agents to work. Fully governed.

Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.

How it works
Infrastructure

Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.

Visibility

Every tool call, every token, every response. Logged and auditable. Data flows direct from Amazon S3 Bucket to your agent. Nothing is stored on our side. Ever.

Control

Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.