Can I check if a file is publicly accessible through the agent?

Yes. The `get_object_access_control` tool allows your AI agent to retrieve the Access Control List (ACL) for any specific file, helping you audit permissions and identify public objects.

How do I protect my files from accidental deletion in a bucket?

You can use the `enable_bucket_versioning` tool to activate versioning on your bucket. This ensures that historical copies of your files are preserved, allowing you to recover from accidental overwrites or deletions.

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.

Wasabi MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Wasabi
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Wasabi as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="wasabi_agent",
    instruction=(
        "You help users interact with Wasabi "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Wasabi as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Wasabi MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Wasabi via MCP

Why Use Google ADK with the Wasabi MCP Server

Google ADK provides unique advantages when paired with Wasabi through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Wasabi

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Wasabi tools with BigQuery, Vertex AI, and Cloud Functions

Wasabi + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Wasabi MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Wasabi and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Wasabi tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Wasabi regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Wasabi

Wasabi MCP Tools for Google ADK (10)

These 10 tools become available when you connect Wasabi to Google ADK via MCP:

create_storage_bucket

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

delete_bucket_object

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

delete_storage_bucket

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

enable_bucket_versioning

Activates object versioning for a bucket

get_bucket_datacenter_location

Retrieves the physical geographic region where a bucket is hosted

get_bucket_versioning_status

Checks if object versioning is enabled for a bucket

get_object_access_control

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

list_bucket_objects

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

list_pending_multipart_uploads

Lists incomplete multipart uploads in a bucket

list_storage_buckets

Lists all Wasabi storage buckets visible to the authenticated IAM user

Example Prompts for Wasabi in Google ADK

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

"List all my storage buckets in Wasabi."

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

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

Troubleshooting Wasabi MCP Server with Google ADK

Common issues when connecting Wasabi to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Wasabi + Google ADK FAQ

Common questions about integrating Wasabi MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.