You’ve likely heard a lot about MCP (Model Context Protocol) lately. Tricentis qTest MCP provides a secure, remote API layer that gives AI structure across all of the Tricentis tools, allowing your AI agents to generate, manage, execute, and validate the results of automated test cases within testing tools, based solely on user intent expressed in natural language. For users of Tricentis qTest, MCP’s “UI for AI” infrastructure signifies a better way for AI agents to interact directly with qTest for AI-powered, scalable test management and operations.
Join this webinar to learn how the qTest MCP integration transforms testing by enabling teams to boost productivity and accelerate test management by:
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