Uploaded December 2025 | Updated September 2026, 1 week ago

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Explore more on MATLAB MCP core server: blogs.mathworks.com/deep-learning/2025/11/03/releasing-the-matlab-mcp-core-server-on-github
Connect with Yann on LinkedIn: linkedin.com/in/yanndebray

In this deep dive, we sit with Yann Debray, AI Product Marketing Manager at MathWorks, to explore how Agentic AI can be used in real engineering workflows using MATLAB MCP (Model Context Protocol) servers.

Instead of copy-pasting code between chatbots and development tools, MCP enables AI agents to directly interact with MATLAB, run simulations, build apps, recover from errors, and automate engineering tasks end-to-end.

You’ll learn:

- What Agentic AI really means for engineers
- How MCP connects AI agents to MATLAB tools
- Through live demos that show how AI runs MATLAB code, builds apps, and simulates physics
- Using Claude, VS Code, and MCP servers together
- Where MCP fits vs MATLAB Copilot
- Why agentic workflows boost productivity without sacrificing engineering rigor

ONLINE PRESENCE
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🌍 My website - jousefmurad.com
💌 My weekly science newsletter - jousef.substack.com
📸 Instagram - instagram.com/jousefmrd
🐦 Twitter - https://x.com/Jousefm2

CONTACT:
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If you need help or have any questions or want to collaborate feel free to reach out to me via email: support@jousefmurad.com

#ai
#coding
#mcp

Disclaimer: Some of these links are affiliate links that make me earn a small commission when you make a purchase at no additional cost.

Deep Dive Recorded: Nov, 21st, 2025 - Subscriber Release Count: 44,080