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Open Source Summit + Embedded Linux Conference North America... has ended
May 18-20, 2026
Minneapolis, MN
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Monday May 18, 2026 2:25pm - 3:05pm CDT
AI agents don’t fail like traditional software. They don’t just throw exceptions, they drift. They misinterpret tools, invoke the wrong functions or behave differently across environments. When deploying Arm’s Open Source custom MCP server to power AI assistants for architecture development, migration, and optimization, we faced a critical question: how do we test a system built for nondeterministic interaction? In this talk, I’ll share how we moved from manual validation to a repeatable, CI-enforced testing strategy using Pytest and Testcontainers. We spin up real MCP server in Docker during tests, validating tool discovery, invocation, and protocol compliance end-to-end.
This isn’t about mocking LLM output. It’s about testing the contract between agents and tools. The key insight: treat your MCP server like production infrastructure, not experimental glue code. Because “it worked on my machine” is not a deployment strategy.
Session takeaways:
• A demo of Arm’s Open Source MCP server(github.com/arm/mcp)
• Why unit tests are insufficient for agent-facing systems
• How we run MCP server inside containerized test environments
• How GitHub Actions automate CI integration testing
Speakers
avatar for Neethu Elizabeth Simon

Neethu Elizabeth Simon

Staff Solution Architect, Arm Ltd
Neethu Elizabeth Simon, Staff Solution Architect, Arm (previously at Intel Corporation), with vast industrial experience(10+ ys) in building AI/ML/IoT-based solutions across retail, industrial & healthcare domains for external customers and open-source developer communities. She is... Read More →
Monday May 18, 2026 2:25pm - 3:05pm CDT
200B (Level Two)
  Open AI & Data

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