Systems | Development | Analytics | API | Testing

The Story of Keboola MCP: How We Decided Not to Wait

Sometimes the biggest opportunities come disguised as unproven protocols released on a random Monday. Here’s why we bet on MCP before anyone asked us to. ‍ Two months before anyone knew what MCP was, we made a bet that it would fundamentally transform how people interact with their data infrastructure.

Keboola MCP Server: Best Practices and Frequently Asked Questions

‍After 10 days since launching the Keboola MCP (Model Context Protocol) Server, we've gathered the most common questions from our data community. This article combines practical answers with best practices inspired by successful AI-assisted development patterns, helping you get the most out of your AI-powered data workflows.

AI-powered testing, built for Jira: discover Sembi IQ

At Xray, powered by Sembi, we believe the next era of software quality will be shaped by intelligence, not just automation. Today, we're proud to introduce Sembi IQ, Sembi’s new AI platform built to help QA, development, and security teams deliver better software, faster. Sembi IQ is designed to work across the entire Sembi portfolio, including Xray, infusing intelligence into the tools teams rely on daily. This isn’t just an add-on or a buzzword-driven initiative.

Kong Konnect: Introducing HashiCorp Vault Support for LLMs

If you're a builder, you likely keep sending your LLM credentials on every request from your agents and applications. But if you operate in an enterprise environment, you'll want to store your credentials in a secure third-party like HashiCorp Vault or IDP provider and have the infrastructure inject the credentials for you dynamically.

Unlocking Seamless AI: ClearML's Model-as-a-Service Delivers One-Click LLM Deployment with Unrivaled Control

By Erez Schnaider, Technical Product Marketing Manager, ClearML The promise of artificial intelligence, particularly with the advent of LLMs, is transformative. Organizations are eager to harness this power, integrate AI into their products, and automate complex processes in order to materialize the lofty promises of generative AI – efficiency, deep domain knowledge, and a competitive edge.