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The recent blog by MathWorks explores a powerful idea—can AI agents like Claude Code actually build Simulink and Simscape models from scratch? The answer is becoming increasingly “yes,” thanks to the MATLAB MCP Server.
At the core, the MCP (Model Context Protocol) Server acts as a bridge between AI and MATLAB. Instead of just suggesting code, AI agents can now write, execute, debug, and refine MATLAB/Simulink models in real-time. This is a major leap from traditional AI coding assistants, which were limited to static suggestions.
The blog demonstrates this using a simple example—modeling a cooling coffee system. The AI generates MATLAB code, builds the Simulink model programmatically, runs simulations, and iterates based on results. This shows that AI is no longer just assisting—it is actively participating in engineering workflows.
What makes this powerful is integration. Tools like Claude Code can communicate with MATLAB through MCP, execute commands, and receive outputs—creating a feedback loop. This enables faster prototyping, reduced manual modeling effort, and improved productivity for engineers.
From an MBD (Model-Based Development) perspective, this is a game changer. Engineers can focus more on system design and validation, while AI handles repetitive tasks like block creation, parameter tuning, and simulation setup. It also opens doors for automated model generation, testing, and even optimization workflows.
In short, this blog highlights a shift toward agentic engineering, where AI becomes a collaborator. For embedded and automotive engineers, this means faster development cycles, smarter tools, and a new skillset—learning how to guide AI effectively.
Read more with video: https://blogs.mathworks.com/simulink/2026/02/26/simulink-and-simscape-modeling-using-claude-code-and-the-matlab-mcp-server/