Vinkius

Google Cloud Storage MCP. Manage files, audit permissions, delete data via conversation.

Google Cloud Storage MCP lets you manage your entire cloud storage infrastructure through natural language conversation. Use your AI agent to list buckets, inspect file metadata, audit security permissions (IAM/ACLs), and move data—all without navigating the GCP Console. It's full control over GCS objects and buckets, handled by simple commands.

Google Cloud Storage MCP is compatible with Claude Claude
Google Cloud Storage MCP is compatible with ChatGPT ChatGPT
Google Cloud Storage MCP is compatible with Cursor Cursor
Google Cloud Storage MCP is compatible with Gemini Gemini
Google Cloud Storage MCP is compatible with Windsurf Windsurf
Google Cloud Storage MCP is compatible with VS Code VS Code
Google Cloud Storage MCP is compatible with JetBrains JetBrains
Google Cloud Storage MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

Discovering and listing buckets

See a complete list of all buckets in your project, along with their specific location and storage class details.

Finding files within buckets

Browse for objects inside a bucket using prefixes (like folders) to filter down thousands of stored files quickly.

Uploading new data

Transfer text-based content or artifacts directly into any specified bucket in the cloud.

Moving and deleting objects

Copy files from one bucket to another, or permanently delete specific objects that are no longer needed.

Checking security policies

Audit the Access Control Lists (ACLs) and Identity and Access Management (IAM) policies for both entire buckets and individual files.

Retrieving system details

Get detailed information about the project's service accounts or list keys used for cross-cloud integrations.

Waiting for input…

AI Agent
Google Cloud Storage

What AI agents can do with Google Cloud Storage MCP with 12 Tools

Use these tools to perform deep cloud operations, including listing buckets, managing object lifecycles, checking access controls, and transferring files through natural language prompts.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Google Cloud Storage MCP

Copy Object

Copies a file from one location to another, either within the same bucket or across different buckets.

Delete Object

Permanently removes a specified object (file) from its current bucket.

Get Bucket Iam

Retrieves the full IAM policy that controls who has access to an entire bucket.

Get Bucket Metadata

Gets key information, like creation date and location, for a specific bucket.

Get Object Metadata

Retrieves detailed metadata (size, type, dates) for a single file inside a bucket.

Get Project Service Account

Checks the assigned service account details used by the project's storage resources.

List Bucket Acl

Lists all current permissions and access rules applied to an entire bucket.

List Buckets

Retrieves a list of every single storage bucket available in your project.

List Hmac Keys

Lists the unique HMAC keys associated with a service account for integration...

List Object Acl

Checks and lists all permissions applied only to one specific object (file).

List Objects

Finds and lists all files within a bucket that match a given prefix or folder path.

Upload Object

Transfers a new file from your local environment into an empty or existing cloud bucket.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Google Cloud Storage MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Google Cloud Storage integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Google Cloud Storage, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
Google Cloud Storage MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Cloud Storage. 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.

VINKIUS CLOUD

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

The Pain of Manual Console Navigation

Today, managing a major cloud storage project means opening the GCP console. You click into the 'Storage' tab, then navigate to your specific bucket name. To check permissions, you have to find the IAM section, and if that isn't enough, you drill down further into ACLs—it’s a dozen clicks just to answer one simple question: 'Is this public?'

With this MCP, you talk to your agent. You ask, 'What are the access rules for all assets in the staging bucket?' and it returns the full policy immediately. It's like having an expert cloud architect sitting next to you, instantly giving answers instead of sending you through a maze of menus.

Managing Objects with Google Cloud Storage MCP

The manual steps that vanish include opening the console, clicking 'Objects', filtering by prefix, and then checking each file's metadata one by one. You never have to click through folders again just to see what data exists.

You now simply ask your agent to list all objects matching a pattern, and it provides the full list with sizes and dates in plain text. It changes cloud operations from tedious clicking into simple conversation.

What Google Cloud Storage MCP does for your AI

Managing large cloud storage projects usually means spending hours in complex consoles, clicking through nested menus just to check a file size or verify who has access. This MCP changes that. You connect your Google Cloud Storage project, and your AI agent becomes your dedicated administrator. Instead of running API calls manually, you simply ask natural language questions: 'Show me the status of all development buckets' or 'Who can read the user logs in this bucket?' The agent handles the underlying complexity, reading the metadata, checking security policies, and executing operations like uploading new content or copying objects between locations.

It means your AI client doesn't just talk to storage; it acts like a knowledgeable cloud ops specialist. This is how Vinkius makes powerful infrastructure tools accessible directly through conversation.

Built · Hosted · Managed by Vinkius Google Cloud Storage - Manage & Audit Data Via AI
Server ID 019d75a8-405b-7147-9eeb-1afd99e2ae94
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Frequently asked questions about Google Cloud Storage MCP

How do I check permissions on a specific file using Google Cloud Storage MCP? +

Use list_object_acl to check the access rules for any single file. This is much faster than checking the entire bucket's policy if you only care about one item.

Can I list all my buckets using Google Cloud Storage MCP? +

Yes, use list_buckets to retrieve a complete roster of every single bucket in your project. This is the starting point for any large-scale audit or inventory task.

What tool do I use to move files from one storage location to another? +

Use copy_object. This function lets you transfer data between buckets, which is safer than deleting and re-uploading the file manually.

Does Google Cloud Storage MCP handle metadata retrieval for multiple files? +

Yes, you can request get_object_metadata or list_objects to gather size and modification dates for many files at once through a single query.

If I need to delete old logs, which tool should I use with Google Cloud Storage MCP? +

Use delete_object. Remember that this action is permanent, so always confirm the file name and bucket before confirming deletion via your agent.