- FILE DATA
- BUCKET DATA
- INVENTORY
- HUMAN
Short answer
How can my AI check Google Cloud Storage metadata?
Your agent uses specific tools to fetch object properties, bucket configurations, and lists of available buckets. You get immediate access to file sizes, timestamps, and storage settings through your chat interface. This breakdown shows you exactly how it works.
Data outcomes
What you get
The specific information your AI retrieves from your storage.
FILE DATA
Object properties
The AI pulls specific details like file size and last modified dates. You get the exact metadata for any object you name.
BUCKET DATA
Bucket configurations
Your agent reads the settings and metadata for your storage buckets. This helps you audit how your data is organized.
INVENTORY
Bucket lists
The AI identifies which buckets exist in your project. You can quickly see your entire storage structure.
HUMAN
Manual intervention
The AI cannot change permissions or delete files. You must handle any configuration changes or deletions yourself.
The workflow
What your AI does when the request arrives.
The AI maps your natural language questions to specific Google Cloud operations.
Identify buckets
If you ask about your storage, the AI first finds your available containers.
list_bucketsCheck bucket settings
The agent looks up the specific configuration and metadata for a chosen bucket.
get_bucket_metadataInspect file details
The AI retrieves the specific metadata for a single file or object.
get_object_metadataReport findings
The agent summarizes the sizes, dates, and settings into a readable format for you.
get_object_metadataget_bucket_metadata
Try it
Copy these to start.
Use these prompts to begin interacting with your storage.
Starting points
Replace the bucket or file names with your actual Google Cloud identifiers.
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"
}
}
}List all my Google Cloud Storage buckets.
What is the size and last modified date of the file 'logs/error.log'?
Show me the metadata for the bucket named 'production-assets'.
Find the file size for the object in 'user-uploads/profile_123.jpg'.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Google Cloud Storage once, then ask.
One connection links your AI to your data. Your credentials stay encrypted and secure on our end.
Connect Google Cloud Storage to your AIFAQ
How this task behaves
- 01
Can the AI delete files in my bucket?
No. This MCP only provides tools to read metadata. It cannot delete or modify any data.
- 02
Can the AI change my bucket permissions?
No. The AI can only inspect existing configurations, not change them.
- 03
Does the AI see the actual content of my files?
No. The AI only accesses metadata like file size and timestamps, not the contents of the files themselves.
- 04
Can I use this with Claude?
Yes, you can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.
- 05
How does the AI know which bucket to look in?
You can name the bucket in your prompt, or the AI can use the list tool to find it.
More questions about Google Cloud Storage? See everything the Google Cloud Storage Connector can do
Connect Google Cloud Storage to Claude, Cursor, ChatGPT & more
