top of page
All Posts


Making MCP Enterprise-Ready: Why Protocol Alone Isn’t Enough
Despite $30–40 billion already invested in GenAI, MIT NANDA reports that 95% of initiatives fail to show measurable business impact. AI has arrived, but enterprise value hasn’t.
That’s where the Model Context Protocol (MCP) fits. And it’s Syntasso Kratix Enterprise that turns MCP from an unrealised opportunity into a provided-by-default reality.
Christopher Hedley
Oct 273 min read
Â
Â
Â


The 10 Best MCP Servers for Cloud‑Native Engineers in 2025
Cloud-native engineering (and platform engineering ) is evolving quickly, and AI is at the centre of that shift. In the past, when a developer needed something as simple as a new database for testing, the process was slow. They had to raise a ticket, wait for approvals, and depend on manual provisioning, which sometimes took days before they could even start working.         Now picture the same request in 2025. Instead of waiting, an AI assistant provisions the database ins

Gideon Aleonogwe
Sep 1718 min read
Â
Â
Â


AI in Platform Engineering: Assessing the Evolution
The future of platform engineering isn’t just cloud-native; it’s now AI-native. Would you agree with that? Whether your answer is yes or...

Divine Odazie
Jun 55 min read
Â
Â
Â


Three Trends to Watch in Platform Engineering for 2025
Platform engineering in 2025 will be shaped by composability, data-driven optimisation, and the transformative power of generative AI

Daniel Bryant
Jan 103 min read
Â
Â
Â
bottom of page