Google Cloud Storage Bucket MCP Server for Google ADKGive Google ADK instant access to 4 tools to Delete Object, Get Object, List Objects, and more

Name: Google Cloud Storage Bucket
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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

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The Google Cloud Storage Bucket MCP Server for Google ADK is a standout in the Industry Titans category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="google_cloud_storage_bucket_agent",
    instruction=(
        "You help users interact with Google Cloud Storage Bucket "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

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* 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 Google Cloud Storage Bucket MCP Server

This server strips away dangerous global GCP permissions. It gives your AI agent one surgical superpower: the ability to read, write, and list files inside one specific GCS Bucket.

Google ADK natively supports Google Cloud Storage Bucket as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

By strictly scoping access, your AI can safely persist data, analyze documents, and manage its own workload without ever touching your critical cloud infrastructure.

The Superpowers

Absolute Containment: The agent is locked to a single bucket. It cannot list other buckets or delete your company's production backups.
Native GCP Integration: Direct, high-performance interactions with Google Cloud using Service Account credentials.
Plug & Play File System: Instantly gives your agent a massive cloud hard drive to store its memories, generated assets, and processed reports.

The Google Cloud Storage Bucket MCP Server exposes 4 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 Google Cloud Storage Bucket tools available for Google ADK

When Google ADK connects to Google Cloud Storage Bucket through Vinkius, your AI agent gets direct access to every tool listed below — spanning object-storage, file-management, data-persistence, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

delete

Delete object on Google Cloud Storage Bucket

Delete an object from the Google Cloud Storage bucket

get

Get object on Google Cloud Storage Bucket

Read the content of an object in the Google Cloud Storage bucket

list

List objects on Google Cloud Storage Bucket

List objects in the configured Google Cloud Storage bucket

put

Put object on Google Cloud Storage Bucket

If the object already exists, it is overwritten. Upload or overwrite an object in the Google Cloud Storage bucket

Connect Google Cloud Storage Bucket to Google ADK via MCP

Follow these steps to wire Google Cloud Storage Bucket into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 4 tools from Google Cloud Storage Bucket via MCP

Why Use Google ADK with the Google Cloud Storage Bucket MCP Server

Google ADK provides unique advantages when paired with Google Cloud Storage Bucket 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 Google Cloud Storage Bucket

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 Google Cloud Storage Bucket tools with BigQuery, Vertex AI, and Cloud Functions

Google Cloud Storage Bucket + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Google Cloud Storage Bucket MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Google Cloud Storage Bucket and cross-reference results with internal databases for comprehensive analysis

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

Automated compliance checks: schedule ADK agents to query Google Cloud Storage Bucket regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Google Cloud Storage Bucket

Example Prompts for Google Cloud Storage Bucket in Google ADK

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

"List all files inside the 'data/exports/' folder."

"Upload this JSON configuration to 'configs/agent-settings.json'."

"Delete the temporary 'processing/job-123.tmp' file."

Troubleshooting Google Cloud Storage Bucket MCP Server with Google ADK

Common issues when connecting Google Cloud Storage Bucket to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Google Cloud Storage Bucket + Google ADK FAQ

Common questions about integrating Google Cloud Storage Bucket 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.