How to Use the Wasabi MCP in Vercel AI SDK

Q: How does Wasabi data residency work with Vercel AI SDK?

You use the getbucketdatacenterlocation tool. It tells you exactly which physical geographic region your bucket is hosted in, giving you confidence about where that data lives.

Q: What happens to my files when I delete them using Wasabi and Vercel AI SDK?

The deletebucketobject tool permanently removes the file. It's a one-way street, so make sure your user confirms this action before calling it from the client.

Q: Is versioning active for my buckets when using Wasabi and Vercel AI SDK?

Check the status with getbucketversioningstatus. This tool reports whether object versioning is on or off, letting your frontend render the correct UI state.

Q: Can I see all objects in a Wasabi bucket using Vercel AI SDK?

Yep. The listbucketobjects tool returns keys, sizes, and last modified dates for every file inside that specific bucket. It’s the go-to function for inventory checks.

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Connect Wasabi MCP to Vercel AI SDK

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

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Setup Wasabi with Vercel AI SDK

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Manage Wasabi storage operations in the Vercel AI SDK

The `list_storage_buckets` tool lets you see all buckets visible to your app. This is crucial when a user needs to know where data lives before writing anything. You can also check object versioning using `get_bucket_versioning_status`. Your AI client reports the status directly to the frontend, so the loading spinner never shows up for this kind of lookup.

Handle Wasabi data deletion with Vercel AI SDK

Need to remove a file? The `delete_bucket_object` tool handles permanent file removal. Be careful, though; that action is irreversible, and your agent needs confirmation before calling it. If you need to wipe an entire bucket, the `delete_storage_bucket` tool works, but remember: the bucket must be completely empty first for it to run.

Discover Wasabi's physical location with Vercel AI SDK

When data residency matters, you need to know where your buckets sit. Use `get_bucket_datacenter_location` to get the exact geographic region for a bucket. Furthermore, if you ever change up how users access files, `get_object_access_control` retrieves the current list of permissions attached to any specific object.

Setup guide

Set up Wasabi MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Wasabi tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Wasabi transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about Wasabi MCP in Vercel AI SDK

You use the `get_bucket_datacenter_location` tool. It tells you exactly which physical geographic region your bucket is hosted in, giving you confidence about where that data lives.

The `delete_bucket_object` tool permanently removes the file. It's a one-way street, so make sure your user confirms this action before calling it from the client.

Check the status with `get_bucket_versioning_status`. This tool reports whether object versioning is on or off, letting your frontend render the correct UI state.

Yep. The `list_bucket_objects` tool returns keys, sizes, and last modified dates for every file inside that specific bucket. It’s the go-to function for inventory checks.

This Wasabi MCP Server deals with object keys, file sizes, and access control lists (ACLs). All of this metadata is exposed via the tools.

Use it with your favorite AI tools

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

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