Systems | Development | Analytics | API | Testing

Perforce Intelligence Accelerates AI Innovation with MCP Enablement across Code Management, App Testing, and Infrastructure Management solutions

Perforce Intelligence Accelerates AI Innovation with MCP Enablement across Code Management, App Testing, and Infrastructure Management solutions

Jan 27, 2026 By Perforce In Perforce
New MCP Capabilities connect code, testing, and infrastructure tools into agentic AI ecosystems, meeting enterprises wherever they are in their AI journey.
Read Post
tricentis

AI in QA: What leading quality experts want every team to know

Jan 27, 2026 By Sarah Welsh In Tricentis
Our goal with the Tricentis blog is to distill insights that help QA professionals navigate the massive, AI-driven transformation happening across the software delivery landscape. To that end, I reached out to experts across Tricentis, from product and services to marketing and strategy, to hear what they’re really thinking about AI in QA right now. This group brings decades of experience building testing products, guiding enterprise transformations, and shaping how organizations adopt AI.
Read Post
perforce

What is an MCP? Breaking Down the Model Context Protocol

Jan 27, 2026 By Perforce In Perforce
70% of teams are already integrating generative AI tools into their daily workflows, according to our 2025 State of Game Technology Report. Now more than ever, teams are looking to connect their AI tools to the services and applications they rely on to get work done. To address this issue, the industry has begun to standardize using the Model Context Protocol (MCP) to connect their existing tools and LLMs like Claude, GPT, and Gemini.
Read Post
kong

Building Secure AI Agents with Kong's MCP Proxy and Volcano SDK

Jan 27, 2026 By Eugene Tan In Kong
Modern AI applications are no longer just about sending prompts to an LLM and returning text. As soon as AI systems need to interact with real business data, internal APIs, or operational workflows, the problem becomes one of orchestration, security, and control. The challenge is to build secure AI agents without embedding fragile logic or exposing sensitive systems directly to a model. This is where a layered architecture using Volcano SDK, DataKit, and Kong MCP Proxy becomes compelling.
Read Post
TestQuality

Best Practices for AI in CI/CD QA Pipelines

Jan 27, 2026 By Jose Amoros In TestQuality
AI transforms CI/CD testing from reactive bug detection into proactive quality assurance that accelerates release cycles while improving software reliability. Start embedding AI into your testing workflows now because teams that wait will struggle to match the velocity of competitors who already have. Continuous integration and continuous deployment pipelines have become the backbone of modern software delivery.
Read Post

Chat with Your Data: The Official Databox MCP

Jan 27, 2026 By Databox: Modern BI Software In Databox
Your AI is brilliant, but it’s blind. Until now. We are thrilled to launch the official Databox MCP (Model Context Protocol). This open standard server bridges the gap between your business data and your favorite AI tools, turning general-purpose LLMs into specialized data analysts that know your business data. Stop manually exporting CSVs or taking screenshots of dashboards. With Databox MCP, you can connect 130+ data sources (Google Analytics, HubSpot, Salesforce, Stripe, and more) directly to tools like Claude, ChatGPT, Cursor, and n8n.
View Video

What Is MCP? Connecting AI Across the Software Delivery Lifecycle

Jan 27, 2026 By Perforce In Perforce
AI promises speed and automation — but most teams are still stuck jumping between disconnected tools across development, testing, and operations. In this video, we introduce the Model Context Protocol (MCP) and how it enables AI assistants to securely access tools, systems, and real-time context across the software delivery lifecycle. MCP is the foundation of Perforce Intelligence, allowing AI to: The result: less friction, faster feedback, and AI that works with your existing systems — not around them.
View Video
dreamfactory

Identity Passthrough for AI: Why Your LLM Needs to Know Who's Asking

Jan 27, 2026 By Nic Davidson In DreamFactory
When a user asks your AI assistant a question, who actually runs the database query? In most enterprise AI deployments, the answer is troubling: a shared service account with broad access to everything. The user's identity evaporates the moment their request enters the AI system. This architectural pattern creates security gaps, compliance failures, and data leakage risks that undermine enterprise AI adoption.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.