How to Use the Amazon S3 MCP in Cursor

Q: Can Cursor read my Amazon S3 bucket policies?

The editor fetches exact JSON rules using the getbucketpolicy tool. It uses this live configuration to write or debug your infrastructure-as-code files accurately.

Q: Does this Amazon S3 MCP Server support file uploads?

You can push local workspace files to the cloud using putobject. The agent handles the transfer so you can test your application's download scripts immediately.

Q: How do I find specific files in a massive bucket?

Tell your agent to run listobjects with a specific prefix. This filters out the noise and returns only the relevant paths for your current coding task.

Inject live Amazon S3 object data and bucket configurations straight into your codebase using Cursor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Amazon S3 MCP to Cursor

Create your Vinkius account to connect Amazon S3 to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Amazon S3 with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Write AWS code using live S3 objects

Cursor pulls exact file schemas into your editor using `get_object_metadata` before writing a single line of parsing logic. Asking the agent to write a data pipeline means it inspects the actual target files first. You get code that works on the first try. Testing that code requires real inputs, which this MCP Server provides by grabbing live object contents via `get_object_data`. The AI client generates tests based on exact AWS responses instead of making up mock variables. This stops you from deploying broken parsers to production.

Audit and update storage via Cursor MCP Server

Security configurations become readable context when your agent calls `get_bucket_policy`. Highlighting an IAM script in your editor lets you ask if it matches the live AWS environment. The editor reads the real policy and points out the differences. Fixing discrepancies takes seconds. The client checks `get_bucket_acl` to verify current access controls, then writes the exact Terraform or CloudFormation code needed to patch the holes. You review the diff, hit save, and move on.

Provision buckets without leaving the editor

Creating infrastructure happens mid-stride with the `create_bucket` tool. Telling Cursor you need a place to store user uploads prompts it to provision the container immediately. You stay in your flow state. Populating that new storage takes one command. The agent uses `put_object` to upload your local seed files or test assets straight to the cloud. Switching to the AWS CLI to prep your dev environment is no longer necessary.

Setup guide

Set up Amazon S3 MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Amazon S3 MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Amazon S3 transactions." If the MCP tools are loaded correctly, Cursor will call the Amazon S3 tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "amazon-s3-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amazon S3. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Amazon S3 now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Amazon S3 MCP in Cursor

Create an mcp.json file in your project root and add the Vinkius MCP endpoint URL. Toggle Agent mode on in the chat panel, and your workspace instantly gains AWS access.

The editor fetches exact JSON rules using the `get_bucket_policy` tool. It uses this live configuration to write or debug your infrastructure-as-code files accurately.

You can push local workspace files to the cloud using `put_object`. The agent handles the transfer so you can test your application's download scripts immediately.

Tell your agent to run `list_objects` with a specific prefix. This filters out the noise and returns only the relevant paths for your current coding task.

Authentication happens entirely through the zero-trust architecture using a single endpoint token. Your AWS keys never touch your local machine, and your raw object payloads process in isolated, temporary sandboxes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript