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 VS Code Copilot 10 tools — connect in under 2 minutes

Name: Amazon S3
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Amazon S3 and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

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.

GitHub Copilot Agent mode brings Amazon S3 data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the Amazon S3 MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Amazon S3

Ask Copilot: "Using Amazon S3, help me..." — 10 tools available

Why Use VS Code Copilot with the Amazon S3 MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Amazon S3 through the Model Context Protocol.

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Amazon S3 + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Amazon S3 MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Amazon S3 MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Amazon S3 to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting Amazon S3 to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Amazon S3 + VS Code Copilot FAQ

Common questions about integrating Amazon S3 MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.