Systems | Development | Analytics | API | Testing

MCP Tutorial: Build a Secure REST API & Dashboard in 5 Minutes | DreamFactory + Claude

In this 5-minute demo, we use DreamFactory’s MCP server with Claude Code and Claude Desktop to: This isn’t AI writing SQL. This is AI orchestrating secure APIs—fast, safe, and auditable. DreamFactory MCP is the secure API gateway that turns databases into AI-ready endpoints—with RBAC, parameterization, and audit logging built-in.

Smarter Test Design starts here: Introducing AI Test Case Generation in Xray

QA teams are more critical than ever but also more pressed for time. With faster development cycles and growing complexity, testers must keep speed and quality in balance. Yet test case creation is still slow, manual, and repetitive - consuming time, introducing errors, and risking missed scenarios. It’s time for something better.

Finding the Ghost in the Machine

The industry is rapidly moving towards deeper AI integration than ever before. What was once simply focused on chatbots or recommendation engines has pivoted significantly to AI systems communicating with other AI systems. These AI tools are leveraging multi-agent workflows to accomplish complex tasks that traditional systems have struggled with. Innovation without validation is a liability. Any developer worth their salt will know that these systems require ample testability and validation.

Leading with Data: AI-Driven Strategies for Tomorrow

In this interview with Nick Johnson-Hill, VP Data Group for Crum and Foster, we dive into what it takes to lead a modern team of data professionals and leverage modern data strategies for creating maximum impact. Nick also discusses the role and effectiveness of leveraging Generative AI for augmenting data teams.

Ep 39 | Enabling the Future of AI with Donna Beasley

AI can’t transform businesses if organizations aren’t prepared to embrace it. Donna Beasley, Chief AI Enablement Officer, joins The AI Forecast to explore thoughtful AI deployment in an organization. She and host Paul Muller dive into the challenges and opportunities of AI adoption, from ensuring data quality to driving organizational change management. They discuss the importance of collaboration across departments, strategies for overcoming resistance, and the critical role of training and meeting individuals where they are in their openness with AI.

Future-proof test automation with Tricentis Tosca and MCP Server

The future of testing is AI-driven, business-oriented, and no-code. Exclusively available for Tosca in the cloud, Tosca’s Model Context Protocol (MCP) Server is a game-changer. It provides a consistent, standardized, and open framework that connects your AI models to Tosca — no need for custom and inflexible API integration. Whether generative, agentic, or any future AI innovation, MCP bridges the gap between AI and QA tools, enabling seamless integration and smarter, faster testing.