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Wasabi MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Wasabi through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "wasabi": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Wasabi Agent",
    instructions:
      "You help users interact with Wasabi " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Wasabi?"
  );
  console.log(result.text);
}

main();
Wasabi
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 Wasabi MCP Server

Connect your Wasabi Hot Cloud Storage account to any AI agent and take full control of your cloud assets through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Wasabi tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • Bucket Management — List all storage buckets, create new ones, or delete obsolete containers in your account
  • Object Discovery — Browse and list files (objects) stored within specific buckets, including sizes and last modified dates
  • Data Integrity — Enable and check bucket versioning to protect against accidental file overwrites or deletions
  • Access Control — Audit permissions and retrieve Access Control Lists (ACL) for specific files to ensure security
  • Data Residency — Verify the physical geographic region where your data is hosted for compliance needs
  • Cleanup Tasks — Identify fractured file uploads that consume storage and permanently delete obsolete assets

The Wasabi MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI 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 Wasabi to Mastra AI via MCP

Follow these steps to integrate the Wasabi MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Wasabi via MCP

Why Use Mastra AI with the Wasabi MCP Server

Mastra AI provides unique advantages when paired with Wasabi through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Wasabi without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Wasabi tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Wasabi + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Wasabi MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Wasabi, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Wasabi as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Wasabi on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Wasabi tools alongside other MCP servers

Wasabi MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Wasabi to Mastra AI via MCP:

01

create_storage_bucket

Provide a globally unique lower-kebab-case name. Creates a new high-availability storage bucket in the configured Wasabi region

02

delete_bucket_object

This action is irreversible. Permanently deletes a specific file from a bucket

03

delete_storage_bucket

Note: The bucket must be completely empty first. This action is irreversible. Permanently removes an empty storage bucket

04

enable_bucket_versioning

Activates object versioning for a bucket

05

get_bucket_datacenter_location

Retrieves the physical geographic region where a bucket is hosted

06

get_bucket_versioning_status

Checks if object versioning is enabled for a bucket

07

get_object_access_control

Retrieves the access control list (ACL) for a specific file

08

list_bucket_objects

Returns file keys, sizes, and last modified dates. Lists the files (objects) stored within a specific bucket

09

list_pending_multipart_uploads

Lists incomplete multipart uploads in a bucket

10

list_storage_buckets

Lists all Wasabi storage buckets visible to the authenticated IAM user

Example Prompts for Wasabi in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Wasabi immediately.

01

"List all my storage buckets in Wasabi."

02

"What files are inside the 'backups-2026' bucket?"

03

"Is versioning enabled for my 'user-data-prod' bucket?"

Troubleshooting Wasabi MCP Server with Mastra AI

Common issues when connecting Wasabi to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Wasabi + Mastra AI FAQ

Common questions about integrating Wasabi MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Wasabi to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.