Bring Object Storage
to VS Code Copilot
Create your Vinkius account to connect Amazon S3 to VS Code Copilot and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your AWS Access Key, Secret Key, and Region
- Start managing your cloud storage and monitoring your data assets through Claude, Cursor, or any MCP-compatible client
Who is this for?
- Cloud Engineers — automate bucket audits and verify object configurations effortlessly
- Data Scientists — quickly find specific datasets or list objects in your data lake directly from chat
- DevOps Specialists — monitor S3 policies and manage file cleanups using simple commands
- Security Analysts — audit bucket access controls and identify exposed data via API queries
Built-in capabilities (10)
Create an S3 bucket
Delete an S3 bucket
Delete an object
Get bucket ACL
Get bucket policy
Get object content
Get object metadata
List S3 buckets
Can be filtered by prefix. List objects in bucket
Upload an object
Why VS Code Copilot?
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.
- —
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
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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
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GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Amazon S3 in VS Code Copilot
Why run Amazon S3 with Vinkius?
The Amazon S3 connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Amazon S3 using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Amazon S3 and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Amazon S3 to VS Code Copilot through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Amazon S3 for VS Code Copilot
Every request between VS Code Copilot and Amazon S3 is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
MCP tools not available
Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.
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