You already know context is everything for AI, and MCP has become the go-to way to feed it. But dumping raw data at your AI isn't a strategy. Real value comes from the tools you build around that context, connecting requirements, tests, and defects to capture true product intent. Xray's MCP uses AI and semantic search to turn your test data into meaningful context fueling every SDLC phase: plan, code, validate, release. Come observe an end-to-end agentic workflow pairing Xray's MCP and skills with Jira Assignable Agents to move work from idea to release with QE expertise baked in.
Chris Scorese
Product Manager
Xray
Chris Scorese is a Product Manager at Sembi where he has spent the past few years focusing on product strategy for Xray Test Management. His work sits at the intersection of AI and quality engineering, shaping the way teams write, maintain, and prioritize tests in ways that combine human judgment and agentic workflows. Chris comes to Product after several years of leading and scaling Sembi’s Data Warehouse and Analytics team, bringing the belief that the quality of an agent’s output is determined by the quality of what you hand it, and how.