DEVOPSdigest

Tricentis unveiled two innovations that aim to redefine the future of software testing for the enterprise.

The company is launching remote Model Context Protocol (MCP) servers for enterprise testing and Tricentis Agentic Test Automation, as well as the beta launch of new AI workflow capabilities.

Designed to perform high-value testing tasks with minimal human effort, these developments mark a pivotal step in the company’s agentic AI strategy, giving customers ultimate flexibility in how they build, deploy, and scale AI-powered testing, whether through their own models or Tricentis’ agents.

Tricentis delivers secure remote MCP servers – the “UI for AI” infrastructure that allows AI agents to interact directly with enterprise-grade testing tools like Tricentis solutions Tosca, NeoLoad, and qTest. The company is also offering an on-premises option for SeaLights.

MCP enables customers and partners the flexibility to co-develop solutions with Tricentis or build their own, whether using Anthropic's Claude AI assistant or third-party agents powered by OpenAI or platforms like Cursor. This supports a variety of critical use cases for high-quality software – and this open, modular framework ensures organizations can tailor their AI strategy to fit their unique software quality needs on their own terms and at their own pace.

Tricentis Agentic Test Automation introduces an AI agent capable of generating complete test cases from natural language prompts, analyzing prior test runs, and adapting to enterprise-specific context.

Generally available in July, the solution benefits from Tricentis’ decades of AI-based testing expertise to make intelligent decisions based on an organization’s testing history, requirements, and environment — freeing teams to focus on strategic outcomes.

By leveraging Tricentis’ proprietary Vision AI technology, Tricentis Agentic Test Automation can also interpret visual elements across platforms, making it technology-agnostic and ideal for complex enterprise environments like SAP Fiori and web applications.

It integrates with Tricentis Tosca, and early adopters have reported up to 85% time savings in test creation and 60% gains in overall productivity.

The beta release of Tricentis AI workflows introduces intuitive, persona-aware interfaces that allow users of all skill levels to engage with AI. These workflows enable seamless communication between agents and between humans and agents, supporting tasks such as test case generation, test data management, and manual test automation. To explore Tricentis’ new AI workflows, sign up here.

Tricentis’ agentic AI strategy is grounded in flexibility, value realization, and responsible innovation — designed to democratize access to AI to drive software quality through an end-to-end, hybrid-ready approach.

These innovations mark the beginning of a broader roadmap to bring agentic AI into every corner of the software quality lifecycle.

“In IT, everything eventually converges into a hybrid model,” said Kevin Thompson, Chief Executive Officer, Tricentis. “That’s why we’re not prescribing a one-size-fits-all approach. With MCP and Tricentis Agentic Test Automation, we’re giving our customers the flexibility to build their own AI agents or use ours — whichever best fits their strategy. Together, these innovations start to bring our agentic AI vision to life, where AI doesn’t just assist — it acts to drive productivity, reduce risk, and transform how testing gets done.”

Over the second half of the year, Tricentis expects to announce further new agentic and autonomous AI capabilities.