Use Google Cloud Storage with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Manage your GCS buckets and objects. list files, upload data, and audit permissions via AI.
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.
Complete set · 12 capabilities
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.
01-04
4 capabilities in this set.
Part of 12 available through Google Cloud Storage.
- 01
Delete object
Remove an object from a bucket
- 02
Get bucket IAM
Get IAM policy for a bucket
- 03
Get object metadata
Get metadata for a specific object (file)
- 04
Get project service account
Check the storage service account for the project
05-08
4 capabilities in this set.
Part of 12 available through Google Cloud Storage.
- 05
List bucket acl
Check bucket permissions
- 06
List buckets
List all buckets in the project
- 07
List object acl
Check permissions for a specific object
- 08
List objects
List objects within a bucket
09-12
4 capabilities in this set.
Part of 12 available through Google Cloud Storage.
- 09
Copy object
Copy an object within or between buckets
- 10
Get bucket metadata
Get metadata for a specific bucket
- 11
List hmac keys
List HMAC keys for a service account
- 12
Upload object
Upload a new file to a bucket
Observed, not estimated
905ms average. Fast in production.
Google Cloud Storage is checked daily against the live service.
- Fastest day
- 763ms
- Slowest day
- 1313ms
- 14-day trend
- Slowing+15%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 12 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, so you can see the experience inside your AI.
It does not authenticate your account with Google Cloud Storage. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Google Cloud Storage Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_HZ0fp8h3qE7JPzT1zEcEb6LOl8tyB00DqcCfsN2D/mcpClaude 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 capabilities are ready to use.
{
"mcpServers": {
"google-cloud-storage-mcp": {
"url": "https://edge.vinkius.com/vk_preview_HZ0fp8h3qE7JPzT1zEcEb6LOl8tyB00DqcCfsN2D/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
FAQ
Questions Google Cloud Storage owners ask.
- 01
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.
- 02
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.
- 03
Can I move files between different buckets?
Yes! Use the copy_object capability to copy an object from a source bucket to a destination bucket. To 'move' it, you would typically copy the object first and then use delete_object on the source.
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