AutomationSTAR

Test Automation Conference Europe

Track Talk T6

Speak Friend and Enter: What Testers Need to Know About MCPs

Paula Bassagañas

11:00-11:45 CET, Thursday 5th November

In Middle-earth, the Doors of Durin open only for those who speak the right word. In our world, Model Context Protocols (MCPs) are those doors: a modern USB port for AI that turns your existing tools and APIs into actions an agent can actually take. Say the right word, and your AI stops being a wise advisor who only talks and becomes a companion who acts.
But every fellowship that walked through those doors learned the same lesson: something waits in the water.
In this session, we’ll journey through the gates together:

  •  Reading the inscription: what an MCP really is (host, client, server, tools, resources), without the hype.
  •  The Mines: where MCPs bring real value to testing, from CI/CD and issue trackers to browsers and test data.
  •  A glimpse in the Palantír: a short live look at an MCP-powered agent watching a pipeline.
  •  The Watcher in the Water: how to test and govern MCPs themselves. Tool descriptions as contracts, prompt injection, permissions, and why a curated registry matters.

You’ll leave knowing which doors are worth opening for your AI, and how to make sure nothing follows you in. Because in testing, as in Moria, every door you open is a door someone has to guard.

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What you will Learn

  1. Understand what MCPs are and how they turn AI from an advisor into an actor.
  2. Identify where MCPs add real value in testing workflows, and where they don’t.
  3. Learn the key risks and checks for testing and governing MCPs before letting them in.

Session Details

  • Intermediate
  • 30 minutes
  • 15mins Q&A
  • AI MCPs
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Session Speaker

Paula Bassagañas

Boehringer Ingelheim, Germany

Paula is an IT Architect based in Germany, specializing in Test Engineering and Backend development. Her career spans various industries, with a focus on the health sector, where she has developed data platform test strategies, particularly for ETL processes. Currently, Paula's working on implementing AI in testing to enhance automation and efficiency. She has extensive experience in DevOps, backend development, cloud computing, and testing methodologies to ensure high-quality software. Additionally, Paula teaches at Pompeu Fabra University, mentoring future IT professionals. Paula is committed to continuous learning and sharing her knowledge to drive growth and excellence.

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