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` 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.

How do I ensure my buckets are secure?

You can use the `get_bucket_policy` and `get_bucket_acl` tools to audit the current access controls applied to any of your buckets directly from the chat.

Amazon S3 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Amazon S3
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Amazon S3 through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Amazon S3 Assistant",
            instructions=(
                "You help users interact with Amazon S3. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Amazon S3"
        )
        print(result.final_output)

asyncio.run(main())

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

About Amazon S3 MCP Server

Connect your Amazon S3 environment to your AI agent to unlock professional cloud storage orchestration. From creating and auditing buckets to managing individual objects and their metadata, your agent handles your AWS data storage through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Amazon S3 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Amazon S3, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Bucket Orchestration — List your S3 buckets, create new ones, and retrieve their location or policy configurations
Object Management — List objects within a specific bucket, including their size and last modified timestamps
Data Ingestion — Upload objects directly to S3 or delete unwanted files to maintain your storage hygiene
Metadata Auditing — Retrieve technical metadata (headers, content type, size) for specific objects without downloading them
Security Oversight — Audit bucket ACLs and policies to ensure your cloud storage meets compliance requirements

The Amazon S3 MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Amazon S3 to OpenAI Agents SDK via MCP

Follow these steps to integrate the Amazon S3 MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Amazon S3

Why Use OpenAI Agents SDK with the Amazon S3 MCP Server

OpenAI Agents SDK provides unique advantages when paired with Amazon S3 through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Amazon S3 + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Amazon S3 MCP Server delivers measurable value.

Automated workflows: build agents that query Amazon S3, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Amazon S3, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Amazon S3 tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Amazon S3 to resolve tickets, look up records, and update statuses without human intervention

Amazon S3 MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Amazon S3 to OpenAI Agents SDK via MCP:

create_bucket

Create an S3 bucket

delete_bucket

Delete an S3 bucket

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_buckets

List S3 buckets

list_objects

Can be filtered by prefix. List objects in bucket

put_object

Upload an object

Example Prompts for Amazon S3 in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Amazon S3 immediately.

"List all S3 buckets in my account."

"Show the top 10 objects in bucket 'data-lake-raw' starting with prefix '2026/03/'."

"Get the bucket policy for 'website-images-eu'."

Troubleshooting Amazon S3 MCP Server with OpenAI Agents SDK

Common issues when connecting Amazon S3 to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Amazon S3 + OpenAI Agents SDK FAQ

Common questions about integrating Amazon S3 MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.