Compatible with every major AI agent and IDE
Create storage bucket on Wasabi
Provide a globally unique lower-kebab-case name. Creates a new high-availability storage bucket in the configured Wasabi region
Delete bucket object on Wasabi
This action is irreversible. Permanently deletes a specific file from a bucket
Delete storage bucket on Wasabi
Note: The bucket must be completely empty first. This action is irreversible. Permanently removes an empty storage bucket
Enable bucket versioning on Wasabi
Activates object versioning for a bucket
Get bucket datacenter location on Wasabi
Retrieves the physical geographic region where a bucket is hosted
Get bucket versioning status on Wasabi
Checks if object versioning is enabled for a bucket
Get object access control on Wasabi
Retrieves the access control list (ACL) for a specific file
List bucket objects on Wasabi
Returns file keys, sizes, and last modified dates. Lists the files (objects) stored within a specific bucket
List pending multipart uploads on Wasabi
Lists incomplete multipart uploads in a bucket
List storage buckets on Wasabi
Lists all Wasabi storage buckets visible to the authenticated IAM user
How Vinkius protects your data
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Can I see where my data is physically stored?
Absolutely. Use the get_bucket_datacenter_location tool to retrieve the specific geographic region where a bucket is hosted, ensuring you meet data residency requirements.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using Wasabi
The Wasabi MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Cursor Copilot for s3 compatible
The Wasabi toolkit provides structured tools for s3 compatible. It enables conversational interfaces like Claude Code to query and modify data within your cloud infrastructure infrastructure.
Autonomous object storage via AI
The Wasabi server supports direct MCP connections for object storage. This provides Claude with the required permissions to execute cloud infrastructure functions.
Wasabi. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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