Can the agent access other buckets in my Google Cloud account?

No. This MCP is designed to be strictly scoped to the single bucket you configure. It cannot see or touch any other buckets in your project.

How does the agent connect to Google Cloud?

The MCP uses native GCP integration through Service Account credentials to perform file operations.

What happens if I upload a file with the same name as an existing one?

The put_object capability will overwrite the existing object with the new one.

Is this MCP secure for production environments?

Yes, because it uses a containment model that limits the agent to one specific bucket, preventing it from interacting with your broader cloud infrastructure.

Which AI clients can use this MCP?

You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

Why limit the agent to a single GCS Bucket?

To enforce zero-trust security. An autonomous AI agent should never have carte blanche to read or delete objects across your entire Google Cloud project.

How does the Service Account authentication work?

The MCP uses the Project ID, Client Email, and Private Key from your GCP Service Account JSON to sign JWT tokens and seamlessly access the GCS REST API.

Can it read binary files?

Currently, the capability returns the raw text content. If you download a binary image, it will be represented as a raw string. It is best used for JSON, Markdown, CSVs, or logs.

An astronaut overseeing a futuristic data hub

Download PDF Markdown Version

Connect Google Cloud Storage Bucket to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Give your agent a secure, private cloud hard drive.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Google Cloud Storage Bucket.

01
Get object
Read the contents of a specific file within your GCS bucket.
02
Delete object
Remove a file from the configured bucket.
03
List objects
Show a list of all files currently stored in the bucket.
04
Put object
Upload a new file or overwrite an existing one in the bucket.

Real work

What teams actually run

Agent Memory Storage

An agent saves its reasoning logs or state files to the bucket to resume work later.

Automated Report Generation

An agent processes raw data and uploads the final CSV or PDF reports directly to a bucket.

Secure Data Analysis

An agent reads specific documents from a bucket to perform analysis without needing local storage.

Temporary File Cleanup

An agent manages its own workspace by deleting temporary files after a job finishes.

Automate a task

Put Google Cloud Storage Bucket to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Google Cloud Storage Bucket works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Google Cloud Storage Bucket to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

892ms average. Fast in production.

Google Cloud Storage Bucket is checked daily against the live service.

Daily averagePeak 1010ms

Oct 3Today

Fastest day: 670ms
Slowest day: 1010ms
14-day trend: Improving-6%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Google Cloud Storage Bucket, so you can see the experience inside your AI.

It does not authenticate your account with Google Cloud Storage Bucket. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Google Cloud Storage Bucket Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_QhAG95VshubCLwHLxWzs4UBAKrUBhFO0KBJe1tOf/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Google Cloud Storage Bucket capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "google-cloud-storage-bucket-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_QhAG95VshubCLwHLxWzs4UBAKrUBhFO0KBJe1tOf/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Google Cloud Storage Bucket in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Google Cloud Storage Bucket owners hand off.

This is for technical users who need to give their AI agents a secure place to work within a Google Cloud environment.

01
Cloud Engineers
They use this to provide agents with limited, safe access to specific storage buckets.
02
Data Scientists
They hand off data processing tasks to agents that need to save large datasets to the cloud.
03
DevOps Specialists
They use this to automate file movements and cleanup within a controlled bucket.

FAQ

Questions Google Cloud Storage Bucket owners ask.

01
Can the agent access other buckets in my Google Cloud account?
No. This MCP is designed to be strictly scoped to the single bucket you configure. It cannot see or touch any other buckets in your project.
02
How does the agent connect to Google Cloud?
The MCP uses native GCP integration through Service Account credentials to perform file operations.
03
What happens if I upload a file with the same name as an existing one?
The put_object capability will overwrite the existing object with the new one.
04
Is this MCP secure for production environments?
Yes, because it uses a containment model that limits the agent to one specific bucket, preventing it from interacting with your broader cloud infrastructure.
05
Which AI clients can use this MCP?
You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
06
Why limit the agent to a single GCS Bucket?
To enforce zero-trust security. An autonomous AI agent should never have carte blanche to read or delete objects across your entire Google Cloud project.
07
How does the Service Account authentication work?
The MCP uses the Project ID, Client Email, and Private Key from your GCP Service Account JSON to sign JWT tokens and seamlessly access the GCS REST API.
08
Can it read binary files?
Currently, the capability returns the raw text content. If you download a binary image, it will be represented as a raw string. It is best used for JSON, Markdown, CSVs, or logs.

Explore

More in Industry Titans

Connect Google Cloud Storage Bucket to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Get object

Delete object

List objects

Put object

What teams actually run

Agent Memory Storage

Automated Report Generation

Secure Data Analysis

Temporary File Cleanup

Building your own app? The connector is yours to use.

Google Cloud Storage Bucket Connector

Claude Desktop

Cloud Engineers

Data Scientists

DevOps Specialists

Can the agent access other buckets in my Google Cloud account?

How does the agent connect to Google Cloud?

What happens if I upload a file with the same name as an existing one?

Is this MCP secure for production environments?

Which AI clients can use this MCP?

Why limit the agent to a single GCS Bucket?

How does the Service Account authentication work?

Can it read binary files?

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