Nebius AI Cloud
ActiveAn AI agent for Nebius AI Cloud. It works in a scene with a live connection to Nebius AI Cloud. It asks before it writes, and every run is traced.
Connect Nebius AI Cloud Object Storage. List, upload, download, and share files in S3-compatible buckets — datasets, model checkpoints, and rollout artifacts.
What you can connect
Add these to your scene and AI gets access.
Nebius AI Cloud access key (Object Storage)
A Nebius Object Storage bucket
Tools
What the agent can do once this is connected.
Reads 4
See data. Nothing changes.
nebius_list_buckets
List all Object Storage buckets in the Nebius account..
nebius_list_objects
List objects in a Nebius Object Storage bucket.
nebius_get_object
Read a Nebius Object Storage object as text.
nebius_presign_url
Generate a presigned URL for temporary access to an object (downloads or uploads)..
Writes 4
Change data in the connected system.
nebius_create_bucket
Create a new Object Storage bucket in the Nebius account's region..
nebius_put_object
Upload or overwrite a text object in Nebius Object Storage..
nebius_put_object_from_url
Fetch a file from a URL and store it in Nebius Object Storage without inlining the bytes..
nebius_delete_object
Delete an object from Nebius Object Storage.
Connect Nebius AI Cloud over MCP
Daslab is itself an MCP server.
Connect Nebius AI Cloud in a scene, then pin that scene's URL in Claude Code, Cursor, or any MCP client. The agent there gets your Nebius AI Cloud tools, and your approval gate and trace travel with them.
https://daslab.run/mcp/<your-world>/<your-scene>One scene can hold Nebius AI Cloud and everything else you connect, so a single endpoint carries them all. Set up a client.
Use cases
- Store and browse training datasets and model checkpoints
- Collect evaluation artifacts (videos, logs) from GPU fleets
- Generate pre-signed URLs for sharing large files
From Nebius AI Cloud
Similar integrations
Others in Infrastructure.
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