Manage Storage Volumes with AI Agents

Use MCP tools to create, list, and delete persistent storage volumes across regions — all through conversation with your AI agent.

Persistent volumes survive instance termination. Your AI agent can create volumes, check available regions, list existing storage, and clean up unused volumes.

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”I need a 500GB volume for my training dataset. What regions are available?”

The agent checks regions and creates the volume:

1. list_storage_regions — returns available regions with capacity
2. create_volume — creates the volume in your chosen region

Available storage regions:

Region	Location
us-east-1	Virginia, US
us-west-2	Oregon, US
eu-central-1	Frankfurt, DE
ap-southeast-1	Singapore

Which region do you want? (I’d suggest us-east-1 if your instances are in the US.)

After you reply “us-east-1”:

3. create_volume — creates training-data (500 GB) in us-east-1

Created volume training-data (500 GB) in us-east-1. Mount it to any instance in the same region from the dashboard or CLI.

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”Show me all my volumes and how much storage I’m using.”

The agent lists your storage:

1. list_volumes — returns all volumes with sizes, regions, and status

You have 3 volumes:

Volume	Size	Region	Status	Created
training-data	500 GB	us-east-1	available	2 hours ago
model-checkpoints	200 GB	us-east-1	attached	3 days ago
old-experiment	100 GB	eu-central-1	available	2 weeks ago

Total storage: 800 GB. old-experiment has been idle for 2 weeks and is in a different region from your instances. Want me to delete it?

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”Delete old-experiment and create a new 1TB volume for my image dataset.”

The agent handles both operations:

1. delete_volume — deletes old-experiment (unused credits refunded)
2. list_storage_regions — confirms region availability for 1TB
3. create_volume — creates image-dataset (1000 GB) in us-east-1

Deleted old-experiment (100 GB) in eu-central-1. Unused time refunded to your balance. Created image-dataset (1,000 GB) in us-east-1.

Updated storage summary:

• training-data: 500 GB (us-east-1)
• model-checkpoints: 200 GB (us-east-1)
• image-dataset: 1,000 GB (us-east-1)

Total: 1,700 GB across 3 volumes.

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Tools used in this workflow

Tool	Purpose
list_storage_regions	Check available regions before creating volumes
create_volume	Provision new persistent storage
list_volumes	Audit existing storage and identify waste
delete_volume	Remove unused volumes and reclaim credits