Future-proof test automation with Tricentis Tosca and MCP Server

MCP Server: The universal interface for AI-powered software testing in the cloud

The future of testing is AI-driven, business-oriented, and no-code. Exclusively available for Tosca in the cloud, Tosca’s Model Context Protocol (MCP) Server is a game-changer. It provides a consistent, standardized, and open framework that connects your AI models to Tosca — no need for custom and inflexible API integration. Whether generative, agentic, or any future AI innovation, MCP bridges the gap between AI and QA tools, enabling seamless integration and smarter, faster testing.

With MCP, your teams can execute tests, analyze results, and generate reports using natural language commands and more, all from within the development environments you already use, like Cursor AI or Visual Studio Code. No scripts. No silos. Just results.

What is MCP?

Model Context Protocol (MCP) standardizes how applications provide context to AI models. Think of MCP as a USB port for AI: just as USB connects many different devices, MCP connects AI models to data sources and tools, enabling direct, real-time interaction with Tosca in the cloud.

Key features of MCP:

• Universal API: MCP acts as a bridge, allowing any AI model to interact with Tosca in the cloud — regardless of the AI’s type or origin.
• Pre-built integrations: MCP offers a growing list of integrations, so your AI models can plug into Tosca in the cloud without custom development.
• Open protocol: MCP is free to implement and use, fostering innovation and collaboration across the AI and testing communities.

For more on MCP’s architecture and capabilities, visit the official MCP documentation.

MCP tools: What are they and how to use them

MCP tools are pre-defined actions that your AI models can execute within Tosca in the cloud. These tools enable your AI to perform specific testing tasks, such as:

• Running test cases (e.g., “Run the regression suite.”)
• Generating reports (e.g., “Show me the latest test results.”)
• Designing test cases (e.g., “Generate a test case for a lead-to-cash flow in SAP.”)

Click the following link for a list of all currently available MCP tools for Tosca’s cloud deployment: Connect to the Tosca cloud MCP server.

How to use MCP tools in Tosca MCP Server

1. Connect your AI model: Use the Tosca MCP Server setup guide to link your AI environment (e.g., Cursor AI, VS Code) to Tosca in the cloud.
2. Leverage pre-built tools: Start with built-in MCP actions, like running tests or generating reports, to streamline your workflow. See link above for the complete list.
3. Customize and extend: To tailor Tosca’s capabilities to your unique testing needs, build custom tools and connect Tricentis and non-Tricentis solutions (e.g., JIRA, ADO) by leveraging multiple MCP servers.

MCP tools for Tosca in the cloud are designed to be intuitive and powerful, turning simple commands into substantial results.

Why MCP matters for your team

1. Faster, smarter test execution

With MCP, your AI models can trigger test runs, analyze outcomes, and generate reports — reducing manual effort and accelerating release cycles.

2. Seamless collaboration

Developers, testers, and business analysts can interact with Tosca using their preferred AI tools, all while Tosca handles execution, analysis, and reporting.

3. No disruption to existing workflows

MCP integrates with your current DevOps toolchain. No overhaul needed — just connect, command, and automate.

4. Full control over your AI

Since MCP works with your AI models, you retain full control over data and customization.

Let’s get to the action and look at two use cases with MCP Server for Tosca in the cloud:

Use case #1: Accelerate test design with the scaffold test case

Building rich, end-to-end test cases is essential for quality, but it can be time-consuming. The example below demonstrates the “scaffold test case” action within our MCP tools and illustrates how MCP Server simplifies the building process. There are three basic steps:

• Describe your test flow: Provide a natural language prompt, like “Generate a test case for a lead-to-cash flow in SAP.”
• Automatic setup: Scaffold test case creates the folder structure, test case layout, and suggests existing modules — all in seconds.
• Ready to customize: The initial test bed is ready for refinement, ensuring consistency and reducing manual setup time.

Value from using MCP action “scaffold test case”:

• Accelerated test case design with reduced manual effort.
• Consistent structure, as scaffold is provided and can be built upon.
• Faster time to quality by focusing on testing, not setup.
• No custom integration — simply use the action in your preferred AI environment.

Use case #2: Test early with API simulation

As AI accelerates development times, testing cycles must become shorter and shorter. In this example, we will demonstrate how you can stop waiting for systems to become available and test early with mock API’s using the “CreateApiSimulation” action within our Tosca MCP Server tools. For instance, imagine your payment system is not yet ready. By simulating APIs, you can test checkout flows anyway.

This is again executed in three simple steps:

• Generate your mock API with the “CreateApiSimulation” action, using natural language to describe what you want to test.
• Select a simulator agent (local or remote endpoint).
• Deploy and run the newly created mock API using the agent.

Value from using MCP action “CreateApiSimulation”:

• No need for coding: Simulation code is written by the AI and auto deployed, translated into Tricentis YAML syntax, and includes all necessary simulation artifacts for Tosca.
• Faster feedback loops: Run tests against your simulated APIs anytime, anywhere.
• Shift left and test early: Start validating integrations early, without waiting for real systems.

MCP + Agentic Test Automation: The ultimate AI testing duo

Tosca’s Agentic Test Automation add-on complements MCP by enabling test case authoring using natural language. While MCP, for instance, can potentially execute and analyze tests, Agentic Test Automation creates them, all without writing any code and simply using natural language.

• Agentic Test Automation: Generate test cases by describing what you want to test in plain language. Offered through Tosca’s in-built, ready-to-use AI.
• MCP Server: Execute those tests, analyze results, provide actionable insights, and more. All through YOUR AI models.

Together, they form a closed-loop AI testing system: author, execute, analyze, improve.

Get started with MCP in Tosca

Tricentis Tosca’s MCP Server turns your AI models, whether generative, agentic, or any future AI innovation, into a testing powerhouse. With MCP, you gain a universal API for AI-driven testing, ensuring flexibility, control, and future-readiness. Get started with MCP in Tosca today:

1. Connect your AI models: Follow the MCP setup guide to link Tosca in the cloud with your AI environment.
2. Start with simple commands: For instance, try “Add playlist” in Cursor AI or VS Code to build an execution list for regression tests and then scale to more complex workflows.
3. Explore MCP tools: Use pre-built tools or create custom ones to extend Tosca’s capabilities.

The future of testing is here. Want to learn more? Experience Tosca in the cloud today and watch our on-demand webinar on MCP and Agentic Test Automation.

Further reading

Explore more about MCP, Agentic Test Automation, and Tricentis Tosca:

• Why MCP is a major leap in AI-driven software testing
• MCP Server overview for Tosca
• Introducing Agentic Test Automation for Tosca
• MCP official documentation