Tricentis, a global leader in AI-enabled software quality engineering, has introduced two industry-first innovations: remote Model Context Protocol (MCP) servers and Tricentis Agentic Test Automation. These advancements, alongside new AI workflow capabilities, mark a significant step in the company’s agentic AI strategy, aimed at transforming enterprise software testing.
Tricentis launches remote MCP servers for secure, enterprise-grade AI testing.
Tricentis Agentic Test Automation generates test cases from natural language.
New AI workflows enable users of all skill levels to boost testing productivity.
MCP servers support integration with tools like Tosca, NeoLoad, and qTest.
Agentic AI reduces test creation time by up to 85% for early adopters.
Innovations align with Tricentis’ vision for flexible, hybrid AI testing solutions.
Tricentis introduces the industry’s first remote Model Context Protocol (MCP) servers, enabling secure interaction between AI agents and enterprise testing tools such as Tosca, NeoLoad, and qTest. With an on-premises option for SeaLights, MCP servers offer flexibility for organizations to co-develop solutions or build their own using models like Anthropic’s Claude or OpenAI-powered agents. This open, modular framework supports tailored AI strategies, ensuring high-quality software testing across diverse enterprise needs.
“We're excited about where Tricentis is going with their agentic strategy,” said Paul DiGrazia, VP Quality Engineering, Wolters Kluwer. “Being part of their co-development program, our testing team gained early access to Tricentis remote MCP servers and it's been a major unlock. Our engineers can now explore ideas and iterate faster with Tricentis tools just by describing to AI what they want. It’s a shift from using tools to collaborating with them, and it’s going to help transform how we do Quality Engineering at Wolters Kluwer.”
Available in July, Tricentis Agentic Test Automation is the first AI agent capable of generating complete test cases from natural language prompts. It leverages Tricentis’ proprietary Vision AI to interpret visual elements across platforms like SAP Fiori and web applications, making it technology-agnostic. By analyzing testing history and enterprise context, it delivers intelligent, adaptive testing solutions. Early adopters report up to 85% time savings in test creation and 60% productivity gains.
“The launch of Tricentis remote MCP servers represents a major innovation that enables partners like TTC Global to seamlessly integrate Tricentis AI models into our AI Enhanced Quality Engineering platform,” said Chris Rolls, CEO Americas, TTC Global. “This advancement helps us accelerate test design, improve model accuracy across channels, and significantly boost productivity in our automation workflows. The result is smarter, more connected testing that drives higher quality at speed for our clients.”
The beta release of Tricentis AI workflows introduces persona-aware, chat-based interfaces that simplify test case generation, test data management, and manual test automation. These intuitive workflows enable users, regardless of expertise, to collaborate with AI agents, enhancing productivity and streamlining enterprise testing processes. Interested users can sign up to explore these capabilities.
Tricentis’ agentic AI strategy emphasizes flexibility, value, and responsible innovation. “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.” These innovations lay the foundation for a broader roadmap to integrate agentic AI across the software quality lifecycle.
Tricentis’ advancements in agentic AI position it as a leader in autonomous software testing. By offering flexible, enterprise-ready solutions, the company empowers organizations to accelerate testing workflows, reduce risks, and achieve higher software quality.
Tricentis is a global leader in continuous testing and quality engineering. The Tricentis AI-based, continuous testing portfolio of products provide a new and fundamentally different way to perform software testing. An approach that’s totally automated, fully codeless, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality. Widely credited for reinventing software testing for DevOps, cloud, and enterprise applications, Tricentis has been recognized as a leader by all major industry analysts, including Forrester, Gartner, and IDC.
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