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Claude DesktopIDE
Amazon S3 Bucket MCP Server

Bring Object Storage
to Claude Desktop

Learn how to connect Amazon S3 Bucket to Claude Desktop and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Delete ObjectGet Bucket AclGet Bucket PolicyGet Object DataGet Object MetadataList ObjectsPut Object

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Amazon S3 Bucket

What is the Amazon S3 Bucket MCP Server?

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

Built-in capabilities (7)

delete_object

Delete an object

get_bucket_acl

Get bucket ACL

get_bucket_policy

Get bucket policy

get_object_data

Get object content

get_object_metadata

Get object metadata

list_objects

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

put_object

Upload an object

Why Claude Desktop?

Claude Desktop is the definitive way to connect Amazon S3 Bucket to your AI workflow. Add Vinkius Edge URL to your config, restart the app, and Claude immediately exposes all 7 tools in the chat interface. ask a question, Claude calls the right tool, and you see the answer. Zero code, zero context switching.

  • Claude Desktop is the reference MCP client. it was designed alongside the protocol itself, ensuring the most complete and stable MCP implementation available

  • Zero-code configuration: add a server URL to a JSON file and Claude instantly discovers and exposes all available tools in the chat interface

  • Claude's extended thinking capability lets it reason through multi-step tool usage, chaining multiple API calls to answer complex questions

  • Enterprise-grade security with local config storage. your tokens never leave your machine, and connections go directly to Vinkius Edge network

See it in action

Amazon S3 Bucket in Claude Desktop

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Amazon S3 Bucket and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Amazon S3 Bucket to Claude Desktop through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Amazon S3 Bucket in Claude Desktop

The Amazon S3 Bucket 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. All 7 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Desktop only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

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

The Vinkius Advantage

How Vinkius secures Amazon S3 Bucket for Claude Desktop

Every tool call from Claude Desktop to the Amazon S3 Bucket MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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).

03

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.

04

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.

05

How does Claude Desktop discover MCP tools?

When Claude Desktop starts, it reads the claude_desktop_config.json file and connects to each configured MCP server. It calls the tools/list endpoint to fetch the schema for every available tool, then surfaces them as clickable options in the chat interface via the 🔌 icon.

06

What happens if the MCP server is temporarily unavailable?

Claude Desktop handles disconnections gracefully. if the server is unreachable at startup, the tools simply won't appear. Once the server becomes available again, restarting Claude Desktop will re-establish the connection. There is no timeout penalty or error loop.

07

Can I connect multiple MCP servers simultaneously?

Yes. You can add as many servers as you need in the mcpServers section of the config file. Each server appears as a separate tool provider, and Claude can use tools from multiple servers in a single conversation turn.

08

Is there a limit on the number of tools per server?

Claude Desktop can handle hundreds of tools per server. However, for optimal LLM performance, Vinkius servers are designed to expose focused, well-documented tool sets rather than overwhelming the model with too many options.

09

Does Claude Desktop support Streamable HTTP transport?

Yes. Claude Desktop supports both SSE (Server-Sent Events) and the newer Streamable HTTP transport that Vinkius uses. Simply provide the server URL. Claude auto-negotiates the transport protocol.

10

Server not appearing after restart

Ensure the JSON is valid (no trailing commas). Check the file path: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\\Claude\\ (Windows).

11

Authentication error

Verify your Vinkius token is correct. Go to cloud.vinkius.com to regenerate it if needed.

12

Tools not showing in chat

Click the 🔌 icon at the bottom of the chat input. If it shows 0 tools, the server may still be connecting. wait a few seconds.

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