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How to Use the Wasabi MCP in Mastra AI

Build complex, resilient workflows with Mastra AI using MCP Server connectivity.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Wasabi MCP to Mastra AI

Create your Vinkius account to connect Wasabi to Mastra AI 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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Execute Wasabi infrastructure commands via Mastra AI

The `list_storage_buckets` tool lets your agent see every bucket visible to the authenticated user. This gives your workflow engine a clear map of available data storage. You can also track uploads that haven't finished yet, using `list_pending_multipart_uploads`. Mastra AI handles these failures automatically.

Manage Wasabi object versions and access with Mastra AI

If you need to know who can see a file, `get_object_access_control` retrieves the full ACL. This is critical for ensuring your workflows follow security protocols. To keep an eye on changes, check `get_bucket_versioning_status`. The agent uses this status before attempting any write operation.

Perform Wasabi data cleanup using Mastra AI

Need to get rid of files? Your agent can use `delete_bucket_object` for permanent removal. Because this is irreversible, the workflow needs human-in-the-loop approval before executing. Want to clear out an entire storage container? The `delete_storage_bucket` tool works, but remember: it requires the bucket to be empty first.

Setup guide

Set up Wasabi MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Wasabi tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "wasabi-mcp-client",
  servers: {
    "wasabi-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Wasabi Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Wasabi tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Wasabi transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wasabi. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Wasabi MCP in Mastra AI

Yes. You can use `get_bucket_datacenter_location` to retrieve the physical geographic region where a bucket is hosted. This helps you plan multi-region strategies in your workflow.
The `list_bucket_objects` tool lets your agent return keys, sizes, and last modified dates. It's a direct feed into your conditional branching logic.
Mastras AI handles irreversible actions by requiring explicit tool approval. This protects against accidental data loss via `delete_bucket_object` or `delete_storage_bucket`.
Your agent can list all buckets using `list_storage_buckets`. This view gives a complete picture of every resource available to the configured IAM user.
This Wasabi MCP Server deals with object keys, file sizes, and access control lists (ACLs). Your workflow can read all of this metadata directly.

Start using the Wasabi MCP today

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