MCP — A Protocol for SREs
The Model Context Protocol (MCP) standardizes how AI agents access tools, APIs and data. Learn how SREs can leverage MCP to build smarter, automated workflows.
New Relic Enhances Azure Integration with AI-Powered Observability Tools
New Relic Inc. unveiled a suite of intelligent observability integrations with Microsoft Azure on Tuesday to streamline incident response and boost developer productivity as enterprises rush to adopt artificial intelligence (AI) workflows. The company’s new AI Model Context Protocol (MCP) Server now feeds real-time observability data directly into Azure’s SRE Agent and Microsoft Foundry, eliminating […]
ClickOps, IaC and the Excluded Avocado Middle
Let’s start with a confession: I think Infrastructure-as-Code solves a lot of problems. Terraform, OpenTofu, Pulumi, all of it. IaC changed how we work. It gave us version control, audit trails, repeatability, and a level of discipline that the old “log in and click around” era couldn’t touch. But somewhere along the way, we turned […]
Kong Adds MCP Support to Tool for Designing and Testing APIs
Kong Inc. has integrated Model Context Protocol (MCP) support into Insomnia 12, enabling DevOps teams to design, test, and secure MCP clients and servers for AI-driven APIs—reducing misconfigurations and enhancing compliance in rapidly evolving AI environments.
Opsera Adds AI Agent Capable of Analyzing Quality of Code Generated by AI Tools
Opsera today added an artificial intelligence (AI) reasoning agent to its platform that is specifically trained to surface in real time how DevOps teams are deriving value from investments in AI coding tools. At the same time, Opsera is adding to its namesake platform for managing and automating DevOps workflows an ability to integrate with […]
Cycode Previews Ability to Identify AI Tools and Platforms Used to Write Code
Cycode today announced it is providing early access to a capability that identifies which artificial intelligence (AI) coding tools are being employed by application developers in addition to adding an AI Bill of Materials (AIBOM) that also identifies what underlying technologies, such as large language models (LLMs), are being invoked. Devin Maguire, senior product marketing […]
ChatGPT Developer Mode: Full MCP Access with Serious Responsibilities
OpenAI recently released Developer Mode for ChatGPT, and it’s not for everyone. This beta feature provides full Model Context Protocol (MCP) client support, granting complete access to both read and write operations across your connected tools. But here’s what you need to understand up front: this is powerful, and it’s dangerous. What Developer Mode Actually […]
Gemini CLI Extensions Bring Customization to the Command Line
Google’s Gemini CLI extensions framework enables developers to integrate external tools like Figma, Stripe, Postman, and Dynatrace directly within the terminal. Built on the Model Context Protocol (MCP), the system reduces context switching and boosts DevOps productivity through AI automation.
How Model Context Protocol (MCP) is Fueling the Next Era of Developer Productivity
MCP standardizes how AI agents connect to tools and data, solving fragmentation in AI development with secure, reusable, and scalable integrations.
env zero Revamps Infrastructure Automation Platform for AI Era
Env Zero (formerly env0) has revamped its Cloud Governance Platform with AI and MCP support, including a new Static Code Analyzer Agent to streamline IaC governance, compliance, and security across tools like Terraform, Pulumi, and Kubernetes.
Building End-to-End Trust in the Software Supply Chain
At swampUP 2025, JFrog’s Guy Levi, head of the architects team, highlights some of the technologies shaping the company’s next chapter. Levi’s role centers on exploring advanced technologies “beyond the horizon,” but he emphasized that swampUP isn’t about future promises — it’s about showing what’s available today. One of the highlights Levi pointed to was […]
Honeycomb Adds Ability to Orchestrate Multiple AI Agents to Observability Platform
Honeycomb has added a Canvas framework for managing and orchestrating multiple artificial intelligence (AI) agents as they observe and query massive amounts of telemetry data. Morgante Pell, technical lead manager for engineering at Honeycomb, said Canvas is the latest extension to a series of Honeycomb Intelligence initiatives that, for example, provide access to an AI […]
Sketch Coding and the Rise of MCP in DevOps
At swampUP 2025, JFrog’s Yonatan Arbel reflects on his journey inside the company and how developer DNA continues to shape JFrog’s culture. Arbel, who has spent nearly a decade with JFrog, began as a software engineer before moving into leadership and eventually into a developer relations role. But as he emphasized, “once a developer, always […]
JFrog CEO: AI Agents Require Practices Beyond Security, Traceability
NAPA, Calif. — A new persona in software development, artificial intelligence (AI) agents rather than human developers, has made it imperative that foundational platforms incorporate agentic practices alongside security, traceability, and visibility to succeed in the AI era. “Every foundational platform requires a single system of record,” Ben Haim told the crowd. “If you don’t […]
Why APIs Alone Won’t Cut It in the AI Era
Kumar Chivukula, co-founder and CEO of Codeglide.ai (a subsidiary of Upsera), explains why the rise of the Model Context Protocol (MCP) is reshaping how enterprises connect APIs to large language models. For years, APIs have served as the backbone of data access, but they were never designed with AI in mind. They lack memory, context, […]
MCP Emerges as a Catalyst for Modern DevOps Processes
Loreli Cadapan, VP of product at CloudBees, discusses how the Model Context Protocol (MCP) developed by Anthropic will provide the foundation for reinventing DevOps workflows. Cadapan explains that MCP acts as a bridge between large language models and enterprise DevOps environments, functioning as a kind of control plane. It can connect with different CI/CD tools […]
Sentry Adds Tool for Monitoring MCP Servers to APM Platform
Sentry today added an ability to monitor Model Context Protocol (MCP) servers to its application performance monitoring (APM) platform.
AI-Driven Observability: Fast, Context-Rich MCP Servers
Christine Yen—developer-turned-CEO—explains why Honeycomb built an MCP server and why every observability vendor may follow. MCP, short for Model Context Protocol, acts like a concierge for AI agents: It makes a product’s API, telemetry schema and helper tools easily discoverable so large-language models can ask precise questions instead of guessing. Yen sees it as table […]
Context on Tap: How MCP Servers Bridge AI Agents and DevOps Pipelines
Large language models can draft code or move artifacts, but without situational awareness they still trip over the basics. Cloudsmith CEO Glenn Weinstein tells Mike Vizard why a new piece of plumbing—the Model Context Protocol (MCP) server—is quickly becoming table stakes. Think of MCP as a receptionist for AI agents: it answers questions like “Which […]
Coralogix MCP Server Offers Observability View Into AI Agents
Full-stack observability platform company Coralogix has detailed the launch of its new Model Context Protocol Server technology. The product is designed to allow third-party AI agents to connect directly to Coralogix’s observability data services to provide a deeper view into the new fabric of agentic AI connections. Breaking down the observability viewfinder on offer here, […]
AWS Extends MCP Support in Amazon Q Developer to Multiple IDEs
Amazon Web Services (AWS) has added support for the Model Context Protocol (MCP) with the Visual Studio Code and JetBrains plugins that are provided for Amazon Q Developer, a set of artificial intelligence (AI) agents that automate a range of software development tasks.
CloudBees Adds MCP Server to Unify Platform for Integrating DevOps Workflows
CloudBees today began providing early access Model Context Protocol Server to its Unify platform for centrally managing DevOps workflows across multiple types of continuous integration/continuous delivery (CI/CD) platforms.
New Relic Adds Support for Model Context Protocol to Observability Platform
New Relic this week added support for the Model Context Protocol (MCP) to its observability platform to surface insights into artificial intelligence (AI) agents and applications. Originally developed by Anthropic, MCP is rapidly becoming a de facto application programming interface (API) for enabling interoperability between AI agents and other sources of data. New Relic has […]