Overview:
Model Context Protocol (MCP) represents a major leap forward in the evolution of AI-powered software testing. With MCP, Tricentis bridges the gap between traditional test management tools and modern AI assistants, enabling smarter, faster, and more conversational testing workflows.
In this Expert Session, you’ll explore how Tricentis qTest’s MCP integration transforms your test management experience by letting you interact with your testing platform using natural language instead of navigating complex UIs or writing scripts.
Using LLM-powered agents, MCP allows you to automate repetitive tasks like test case creation, requirement analysis, and defect management — all while maintaining traceability and control in Tricentis qTest.
Learning Objectives:
By the end of this session, participants will be able to:
- Describe how Model Context Protocol (MCP) connects AI with Tricentis qTest
- Discuss how MCP enhances productivity through natural language prompts and AI-powered workflows
- Demonstrate how to:
- Display requirements and test cases by project
- Identify and generate missing test cases
- Analyze executions and create defects
- Apply effective prompt patterns to automate key testing tasks using LLMs
- Recognize how MCP unlocks scalable, intelligent test orchestration across teams and tools.
Prerequisites:
To get the most out of this session, we recommend attendees have:
- Basic knowledge of Tricentis qTest
- Understanding of test case management and automation workflows.
Speakers:
- Abigail Kurtzman, Product Marketing Manager at Tricentis
- Donald Jarrett, Senior Solution Architect at Tricentis
