- AUDIT
- REPORT
- ACTION
- LOG
Short answer
Can my AI check where my Wasabi data is stored?
Yes. Your agent uses the Wasabi MCP to pull the physical datacenter location for any bucket you specify. This lets you confirm your storage stays within required geographic boundaries.
Compliance outcomes.
Where your data lands.
Running this task gives you clear answers for your data residency audits.
AUDIT
Location verification
The agent identifies the exact physical datacenter for your buckets. You get a clear list of where your data resides.
REPORT
Compliance mapping
Your agent compares bucket locations against your regional requirements. It flags any buckets sitting in the wrong territory.
ACTION
Human review needed
The AI identifies residency violations but won't move your data. You decide if a bucket needs to be migrated to a different region.
LOG
Audit trails
The agent provides a record of the locations it found. You can use these details to document your storage compliance.
The workflow
What your AI does when the request arrives.
The agent handles the heavy lifting of querying the Wasabi API so you don't have to log into the console.
Identify target buckets
Your agent looks at the bucket names you provide to prepare the request.
get_bucket_datacenter_locationFetch datacenter info
The agent queries the Wasabi service to find the physical location of the specified bucket.
get_bucket_datacenter_locationCompare against rules
The agent checks the returned location against the regional constraints you defined in your prompt.
get_bucket_datacenter_locationFlag discrepancies
The agent highlights any buckets that are stored in a location that violates your residency policy.
get_bucket_datacenter_location
Try it
Copy these to start.
Use these prompts to begin your residency check.
Starting points
Replace the bucket names with your actual Wasabi bucket identifiers.
Wasabi Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_V1Hjef8Ai0tGUVU2o51pGeh56RG2FMQyrBPdlT7Z/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 — Wasabi capabilities are ready to use.
{
"mcpServers": {
"wasabi-mcp": {
"url": "https://edge.vinkius.com/vk_preview_V1Hjef8Ai0tGUVU2o51pGeh56RG2FMQyrBPdlT7Z/mcp"
}
}
}Check the datacenter location for my bucket named 'production-logs-us-east'.
List the physical locations for all my buckets to ensure they are in the EU.
Are any of my buckets located outside of the US?
Verify that the 'customer-data-archive' bucket is in the correct region.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Wasabi once, then ask.
Just link your Wasabi credentials once. Your login stays encrypted, and you can immediately start asking your agent about your bucket locations.
Connect Wasabi to your AIFAQ
How this task behaves.
- 01
Can the AI move my data to a different region?
No. The agent can only read the location of your buckets. You must manually move data if it is in the wrong place.
- 02
Does the AI see the files inside my buckets?
No. This tool only retrieves the datacenter location metadata for the bucket itself, not the contents of the files.
- 03
Can I automate a daily residency report?
Yes. Once connected, you can ask your agent to perform these checks whenever you need them.
- 04
Will this work with any S3-compatible storage?
No. This specific MCP is built for Wasabi to access its unique datacenter location data.
- 05
Do I need to provide my Wasabi API keys every time?
No. You connect the Wasabi MCP once, and your agent uses those credentials for all subsequent requests.
More questions about Wasabi? The Connector page answers them. See everything the Wasabi Connector can do
Connect Wasabi to Claude, Cursor, ChatGPT & more
