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OneBucket gives your AI and applications a single endpoint to all your data — across cloud, on-prem, and edge — over the two protocols they already speak: S3 and MCP. No copying, no migrations, no rearchitecting.

Why OneBucket

Most organizations can put less than 10% of their data in front of an AI model. The rest is scattered across clouds, on-prem systems, and the edge — too costly to move and too slow to use, so projects stall at the proof-of-concept stage. OneBucket presents every backend as one logical bucket, so your data stays where it lives and becomes usable everywhere.

How it works

OneBucket is built on the Adaptive Data Fabric — location-independent access to unstructured data:
  • Connect natively — native S3 and MCP interfaces reach every cloud, on-prem, and edge source, with no application changes.
  • Place by policy — policy-driven placement and adaptive movement keep data in the right place at the right time.
  • Access anywhere — intelligent caching and replication make distributed data feel local.

What you can do

  • Use it as S3 — point any S3 client or SDK at your OneBucket endpoint. Full AWS SigV4 auth, buckets, objects, multipart uploads, versioning, and presigned URLs.
  • Give AI native access — connect Claude or any MCP client to browse, read, and manage objects and query OneBucket activity in natural language.
  • Span every backend — federate AWS S3, Azure Blob, Google Cloud Storage, Wasabi, Akave, on-prem, edge, and air-gapped stores behind one namespace, then copy, migrate, or locate objects across them.
  • Cut egress and latency — cache at the edge and prefetch hot objects so reads are local.
  • Govern and audit — enforce one policy-based access control and stream detailed events.

Get started

Quickstart

Connect an S3 client or Claude and read and write your first object in minutes.

Connect Claude

Give Claude native access to your buckets over MCP.