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Claude CodeCLI
Amazon S3 Bucket MCP Server

Bring Object Storage
to Claude Code

Learn how to connect Amazon S3 Bucket to Claude Code 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 Code?

Claude Code registers Amazon S3 Bucket as an MCP server in a single terminal command. Once connected, Claude Code discovers all 7 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Amazon S3 Bucket data drives decisions without human intervention.

  • Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • Claude Code runs headlessly, enabling unattended batch processing using Amazon S3 Bucket tools in cron jobs or deployment scripts

  • Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

Amazon S3 Bucket in Claude Code

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 Code 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 Code

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 Code 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 Code

Every tool call from Claude Code 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 do I add an MCP server to Claude Code?

Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.

06

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

07

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

08

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

09

Connection timeout

Check your internet connection and verify the Edge URL is reachable

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