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Test at speed of thought

How MTA MCP makes app delivery faster and easier

In the Mendix ecosystem, the conversation has shifted. With the arrival of MCP in MAIA (Mendix AI Assistant), we are no longer just modeling; we are orchestrating. But speed without a safety net is a risk.

Menditect is proud to announce the integration of the Model Context Protocol (MCP) into Menditect Test Automation (MTA). When you combine Mendix’s AI-driven development with Menditect’s AI-driven testing, the result is a 1+1=3 effect: an exponential increase in delivery velocity, app resilience, and platform value.

At its core, this development serves the primary mission of Menditect: “making testing easier and faster for everyone involved in the lifecycle”.

By removing the manual friction of test creation and maintenance, we enable teams to move at the speed of their ideas rather than the speed of their scripts, making true continuous delivery a reality.

Be the first to see MTA with MCP in action

Discover how to leverage the 1+1=3 synergy between Mendix AI and MTA for automated test generation. Join the MTA webinar and see how you can test at speed of thought!

Test at speed of thought with AI

 

Don’t let manual testing be the anchor that slows down your AI-powered development. Join us to see how we’re making “quality by design” a reality through easier and faster automation.

Why this is a game-changer for every stakeholder

For IT managers & product owners: strategic acceleration
  • Validating the “happy path” and beyond: Mendix MAIA is excellent at generating models that look correct and follow the happy path. However, enterprise-grade software lives or dies by its handling of edge cases and complex data permutations. MTA automatically generates the deep validation needed to ensure that AI-generated logic holds up under real-world stress and fringe scenarios, providing the assurance that speed doesn’t come at the cost of reliability.
  • Persistent and adaptive quality: MTA stores all generated scripts in a central repository, allowing them to be executed at any time to verify system health. As your business evolves, MTA can automatically update these tests whenever code or user stories change, ensuring your safety net is never out of date.
  • Faster time to market: By automating the creation of regression suites, you eliminate the weeks of manual verification that usually stall a release. This makes the entire delivery pipeline faster and more predictable.
  • Higher ROI on AI: By automating the QA bottleneck, you fully realize the time-savings promised by low-code AI.
For developers & testers: intelligent automation
  • Testing is made easier: MTA doesn’t just “record” clicks; with the help of MAIA it interprets your metadata. It generates unit tests with complex data variations and e2e frontend tests directly from your model and user stories into MTA. This removes the burden of manual test maintenance—when you change your model, MAIA analyzes  the change and can adapt the tests in MTA for you.
  • Native “shift-left” workflow: In Mendix 11, the MCP server sits right alongside MAIA in studio pro. You can generate a microflow with MAIA and immediately generate its validation suite with MTA—one seamless, AI-assisted motion that makes quality a byproduct of development.
  • Version flexibility: Whether you’re leveraging MAIA in Mendix 11 or optimizing Mendix 9 & 10 apps via mx-cli, your testing stack remains cutting-edge.

The 1+1=3 value proposition

MTA MAIA MCP

 

Mendix builds the future; Menditect ensures it works.

Experience testing at the speed of thought

Menditect is hosting as of this summer free assisted try-outs days for existing MTA customers and any other teams interested in putting these MCP tools to the test. These sessions take place online on a Menditect hosted MTA environment. We’ll help you hook the MCP server into your own app so you can see the speed of model-driven testing yourself.

Dick van Gorkum

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