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Amazon S3 Bucket MCP Server for WindsurfGive Windsurf instant access to 7 tools to Delete Object, Get Bucket Acl, Get Bucket Policy, and more

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Windsurf brings agentic AI coding to a purpose-built IDE. Connect Amazon S3 Bucket through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Ask AI about this MCP Server for Windsurf

The Amazon S3 Bucket MCP Server for Windsurf is a standout in the Industry Titans category — giving your AI agent 7 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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Classic Setup·json
{
  "mcpServers": {
    "amazon-s3-bucket": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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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

About 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.

Windsurf's Cascade agent chains multiple Amazon S3 Bucket tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 7 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

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

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


The Amazon S3 Bucket MCP Server exposes 7 tools through the Vinkius. Connect it to Windsurf in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Amazon S3 Bucket tools available for Windsurf

When Windsurf connects to Amazon S3 Bucket through Vinkius, your AI agent gets direct access to every tool listed below — spanning object-storage, aws, data-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

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

Connect Amazon S3 Bucket to Windsurf via MCP

Follow these steps to wire Amazon S3 Bucket into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
02

Add the server

Paste the JSON configuration above into mcp_config.json
03

Save and reload

Windsurf will detect the new server automatically
04

Start using Amazon S3 Bucket

Open Cascade and ask: "Using Amazon S3 Bucket, help me...". 7 tools available

Why Use Windsurf with the Amazon S3 Bucket MCP Server

Windsurf provides unique advantages when paired with Amazon S3 Bucket through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 7 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Amazon S3 Bucket + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Amazon S3 Bucket MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from Amazon S3 Bucket and generate models, types, or handlers based on real API responses

02

Live debugging: query Amazon S3 Bucket tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from Amazon S3 Bucket and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine Amazon S3 Bucket data with Cascade's code generation to scaffold entire features in minutes

Example Prompts for Amazon S3 Bucket in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Amazon S3 Bucket immediately.

01

"List all files in this bucket."

02

"Upload this JSON config to 'settings/app-config.json'."

03

"Check the access policy on this bucket."

Troubleshooting Amazon S3 Bucket MCP Server with Windsurf

Common issues when connecting Amazon S3 Bucket to Windsurf through Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Amazon S3 Bucket + Windsurf FAQ

Common questions about integrating Amazon S3 Bucket MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

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