Marcel de Vries Will Present Model Context Protocol
The upcoming session in Orlando will explore how to integrate AI agents with .NET applications.
Updated on Oct. 13, 2026 in Artificial Intelligence
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Marcel de Vries will present a session on Model Context Protocol for .NET at the upcoming Live! 360 event in Orlando. This presentation aims to guide developers on securely connecting AI applications with external tools and data.
Why it matters
As businesses look to leverage AI, developers need clear guidance on safely exposing existing .NET application capabilities to AI agents. The session will highlight best practices for building thin, deployable servers to bridge legacy systems with new technology.
The official C# software development kit supports building Model Context Protocol clients and servers. Developers are advised to limit tool exposure to 10 items to maintain optimal model performance, as using 200 tools can degrade response quality.
The players
Marcel de Vries
He is the global managing director and chief technology officer at Xebia who will lead the upcoming session at Live! 360.
Xebia
This global IT consultancy and digital transformation firm employs Marcel de Vries as its chief technology officer.
The details
The Model Context Protocol server uses discovery to return tools, resources, and prompts with schemas directly to clients. By building thin, separately deployable servers, developers can effectively call existing services to integrate modern AI with legacy applications.
Timeline
October 13, 2026: Article publication date.
The Tech Race
This session marks a pivotal shift in how .NET developers bridge the gap between legacy infrastructure and generative AI. It positions the Model Context Protocol as a standard for interoperability that rivals ad-hoc, proprietary integration methods currently used by developers.
Developers attending this session will gain actionable workflows for creating more efficient AI-linked .NET applications. By adopting these server design patterns, teams can expect improved software performance and simplified maintenance for their integrated systems.
The takeaway
Developers should prioritize lean integration strategies to ensure that AI agents remain fast and responsive when interacting with external tools. Testing tool capacity during the design phase helps avoid performance bottlenecks that occur when exposing too many resources simultaneously.
Further reading
For more information on the evolving standards for AI systems, visit the Artificial Intelligence section.
Source note: This article includes information reported by Visual Studio Magazine.
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