AI Agents - MinIO Blog

A Global Telecommunications Leader and MinIO AIStor: Powering the Next Generation of Data Lakehouse for Analytics and AI

David Koppe David Koppe on Case Study | 31 October 2025

1. Executive Summary Our customer, a global telecommunications leader, established a Data Platform team to transform how data improved customer experiences and business operations. Faced with ballooning data growth and legacy storage constraints, they replaced aging legacy data storage systems with a high-performance, cloud-native data lakehouse, built on MinIO’s AIStor. The result: a scalable, cost-efficient foundation ready for AI,

AIStor Tables: Technical Deep Dive

Brenna Buuck

Brenna Buuck on AIStor | 30 September 2025

AIStor Tables brings Iceberg catalogs natively into on-prem object storage. It simplifies data organization, enforces table-aware security, and lets AI teams catalog unstructured assets in structured tables, thereby enabling discovery.

Agentic AI with Model Context Protocol and AIStor

Keith Pijanowski Keith Pijanowski on AI Agents | 27 May 2025

The Model Context Protocol (MCP) from Anthropic represents a unique approach to Agentic AI tooling as compared to many of its competitors. Rather than building a framework (software that calls your code) or a library (software that your code can call), MCP focuses on the protocol needed for different parts of an agent to communicate with each other. This has

Model Context Protocol (MCP) Server for AIStor: How it works

Pavel Anni Pavel Anni on AI Agents | 30 April 2025

In the previous blog posts of this series, we discussed the user-level and admin-level functions of the Model Context Protocol (MCP) server for MinIO AIStor. In the first blog, we learned how to review the bucket’s contents, analyze objects, and tag them for future processing. In the second blog, we also learned how to use admin commands and get