MCP is an open standard that defines how AI clients communicate with remote servers. It provides a standardized protocol for clients like Claude, Cursor, or VS Code to access tools, resources, and capabilities from external systems. Currently, MCP servers can expose several types of capabilities to…
Kong Mesh 2.13 delivers full support for Mesh Identity for Kubernetes and Universal mode. Plus, it's been designated as a Long Term Support release, with support for a total of 2 years. But first, what's Kong Mesh for the uninitiated? Built on top of the open source Kuma service mesh, Kong Mesh is…
We've talked about why 2026 is the year of AI unit economics . There, we explored the "2025 hangover" where organizations realized that without financial governance, AI isn't just a science project but has become a margin-bleeding cost center. But "governance" and "monetization" shouldn't just be…
AI agents are spreading across organizations rapidly. Each agent needs secure access to different Model Context Protocol (MCP) servers. Authentication becomes complex. Scaling creates bottlenecks. The dreaded "too many endpoints" problem emerges. You face a classic AI infrastructure headache. The…
If you've used KAi before, you'll notice the difference immediately. The enhanced version has deeper access to your Konnect environment and new tools for debugging, analytics, and configuration management: The new KAi is more capable because it's backed by a structured set of tools that can query…
As of January 2026, Kong Gateway Enterprise 3.9 will enter its End Of Life (EOL) phase and will no longer be fully supported by Kong. Following this, Kong Gateway Enterprise 3.9 will enter a 12-month sunset support period, focused on helping customers upgrade to a current version of Kong Gateway…
The report identifies a mindset trap that's holding most organizations back: "inside-out" integration thinking. Inside-out means viewing integration from the perspective of only prioritizing the reuse of legacy integrations and architecture (i.e., simply wrapping existing integrations with MCP and…
The first pillar is enablement. Developers need tools that reduce friction when building AI-powered applications and agents. This means providing: The goal isn't to replace existing development workflows but to extend them. Developers should be able to build agents using familiar paradigms while…
Kong Insomnia 12.3 TL;DR? Your New Year’s resolution is probably something along the lines of “work smarter, not harder.” Our resolution is to make that actually possible. Insomnia 12.1 and 12.2 sharpened your tools, and now Insomnia 12.3 removes the friction to allow you to focus on building great…
The evolution of AI agents and autonomous systems has created new challenges for enterprise organizations. While securing API endpoints is well-understood, controlling access to individual AI agent tools presents a unique authorization problem. Today, we're excited to announce a powerful solution…
APIs are the connective tissue of digital products and services, and they're the lifeblood of AI. APIs shape customer experiences, power partner ecosystems, and accelerate enterprise innovation. As organizations double down on API-first strategies, one role is emerging as indispensable: the API…
In one of our posts, Kong AI/MCP Gateway and Kong MCP Server technical breakdown, we described the new capabilities added to Kong AI Gateway to support MCP (Model Context Protocol). The post focused exclusively on consuming MCP server and MCP tools through Kong MCP Gateway. Now, it's time to check…
Every January, the same resolutions show up: eat better, exercise more, finally learn that language, finally figure out that production use case for AI agents (OK, this one isn’t so typical unless you operate in our universe). But if you're responsible for your organization's AI strategy, we'd like…
API endpoints are like the doors to a web service. Through these endpoints, we can enter and talk to a web service and be shown where and how we can gain access to whatever it is the server has. This process allows separate pieces of software to swap information in a controlled way. Understanding…
AI governance establishes the principles, roles, processes, and controls for responsible AI deployment. It transforms abstract ethics into concrete practices. Think of AI governance as a rulebook for how to use AI in a secure, ethical, observable, moderated, and auditable fashion. It’s a…
Secure your AI infrastructure with prompt guards, PII sanitization, and centralized governance. Control LLM costs with token-based rate limiting and semantic routing across providers.