Skip to content
Vinkius

Google Cloud Storage Connector for AI agents.

12 live capabilities

Manage cloud buckets and files using natural language commands.

Live agent request Google Cloud Storage / Connector

Waiting for input…

AI Agent

Why people use Google Cloud Storage

Google Cloud Storage for Cloud Infrastructure Audit

With this Connector, you can just ask your agent to identify which buckets have specific permissions. It handles the queries and gives you a clear summary, turning a 20-minute audit into a 20-second conversation.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a conversational interface for managing your cloud storage assets.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Verifying production logs

    A cloud engineer asks the agent to find the logs from last night in the staging bucket.

  2. Real-world use case 02

    Security permission audit

    A security team member asks if any buckets are public.

  3. Real-world use case 03

    Moving datasets between buckets

    A data scientist needs to move a large dataset to an archive bucket.

Complete set · 12capabilities

The complete Google Cloud Storage capability set.

These are the exact actions your AI can choose when you ask it to work with Google Cloud Storage.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 12 available through Google Cloud Storage.

  1. 01 Capability

    Copy object

    Copy a file between different buckets or within the same bucket. This is useful for moving data between environments.

  2. 02 Capability

    Delete object

    Remove a specific file from a bucket. Use this to clean up old logs or temporary files.

  3. 03 Capability

    Get bucket iam

    Retrieve the IAM policy for a specific bucket. This helps you see exactly who has access to your data.

  4. 04 Capability

    Get bucket metadata

    Get details like location and storage class for a bucket. Use this to check your storage costs and settings.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 12 available through Google Cloud Storage.

  1. 05 Capability

    Get object metadata

    See the size and metadata for a specific file. This is perfect for verifying file integrity.

  2. 06 Capability

    Get project service account

    Check the storage service account for your project. Use this to verify service identities.

  3. 07 Capability

    List bucket acl

    View the access control list for a bucket. This lets you see permissions at a glance.

  4. 08 Capability

    List buckets

    List every bucket currently in your project. Use this to get a high level view of your storage.

Capability set03 / 03

09—12

4 capabilities in this set.

Part of 12 available through Google Cloud Storage.

  1. 09 Capability

    List hmac keys

    See the HMAC keys for a specific service account. This helps with legacy or cross-cloud integrations.

  2. 10 Capability

    List object acl

    Check the permissions for a single object. Use this to verify granular access controls.

  3. 11 Capability

    List objects

    Browse all files inside a bucket, including those in folders. This helps you find specific data quickly.

  4. 12 Capability

    Upload object

    Upload a new file or text content to a bucket. Use this to put data into storage via your agent.

Set up in minutes

One URL. Then ask Google Cloud Storage to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Google Cloud Storage from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_HZ0fp8h3qE7JPzT1zEcEb6LOl8tyB00DqcCfsN2D/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Google Cloud Storage, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Google Cloud Storage for the conversation.

Where the request belongs

Work Google Cloud Storage can move forward.

Built around the request

This is for the cloud engineer who is tired of clicking through nested dashboards at 2am or the data scientist who needs to verify dataset sizes without leaving their IDE.

01

Cloud Engineer

Uses the Connector to quickly verify if build artifacts exist or to check bucket permissions during a production rollout.

02

Data Scientist

Browses large datasets and checks modification dates or file sizes using natural language queries.

03

Security Analyst

Audits bucket ACLs and IAM policies to ensure no sensitive data is exposed to the public internet.

Bring your own AI

Change the model, client or framework. Keep Google Cloud Storage connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Google Cloud Storage.

The practical details behind the request, access and result.

Can the Google Cloud Storage MCP list all my buckets?

Yes, it can list every bucket in your project. This helps you get a high-level view of your storage assets without opening the console.

Can I use Google Cloud Storage MCP to audit my security?

Yes, it can check bucket ACLs and IAM policies. You can use it to verify who has access to your data and ensure no buckets are publicly exposed.

Does the Google Cloud Storage MCP work with Claude and Cursor?

Yes, it works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

Can I upload files to my buckets using this Connector?

Yes, you can upload text content directly to your buckets using natural language commands.

Is my data safe when using the Google Cloud Storage MCP?

The Connector uses your own Google Cloud credentials and OAuth flow. Your agent acts as an administrator using the permissions you grant it.

Can I move files between different buckets?

Yes, you can copy objects between different buckets or within the same bucket using the copy capability.

Can I upload large files directly through this server?

The upload_object capability is designed for small to medium text-based content. For very large binary files or production datasets, it is recommended to use the gsutil CLI or the Google Cloud Console to ensure optimal transfer speeds and integrity.

How do I check if a bucket is publicly accessible?

You can use the list_bucket_acl or get_bucket_iam capabilities. The AI agent will retrieve the permissions and can identify if roles like 'allUsers' or 'allAuthenticatedUsers' have been granted access.

One connection away

Give your agent a direct line to Google Cloud Storage.

Connect Google Cloud Storage once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available