MathWorks, the leading developer of mathematical computing software for designing engineered systems, announced new capabilities that let AI agents run and refine MATLAB® workflows through two new open-source tools—MATLAB MCP Server and MATLAB Agentic Toolkit—using Model Context Protocol. With these tools, agents can write MATLAB code, run it in a live session, examine outputs or errors, and iterate toward a correct result, while engineers remain responsible for validating results and applying their expertise.
These new capabilities are intended for MATLAB users, applied AI engineers building agent-driven workflows, and platform teams managing AI-assisted engineering environments. By running code directly in MATLAB, agents base their reasoning on deterministic computation, numerical analysis, and executable models. This shifts AI from probabilistic reasoning to execution-based results, reinforcing engineering rigor. Engineers can verify results by reviewing outputs, comparing them to expected behavior, and refining workflows through iteration—core practices in engineering development.
“As organizations adopt agentic AI in Model-Based Design and engineering, the focus is shifting from code generation to reliable execution within established multi-disciplinary toolchains,” said Diego Tamburini, AI Practice Director at CIMdata. “Engineers remain responsible for defining problems, validating outcomes, and maintaining oversight, while AI agents increasingly handle iterative and repetitive tasks—augmenting human efficiency and effectiveness. This reinforces the importance of human-in-the-loop workflows, where real execution and validation underpin trust in AI-driven engineering processes.”
MATLAB MCP Server and MATLAB Agentic Toolkit are open-source packages, allowing developers and organizations to inspect, extend, and incorporate agent-based workflows with MATLAB in their own environments using agentic tools such as Claude® Code, GitHub Copilot®, OpenAI® Codex™, Gemini® CLI, and more. This supports interoperability across diverse AI agent frameworks and positions MATLAB as foundational infrastructure for emerging agent-based engineering ecosystems.
“AI agents are most effective in engineering when they can directly interact with the tools used for design, simulation, and analysis,” said Seth DeLand, Generative AI Product Manager at MathWorks. “By enabling agents to execute and iterate MATLAB workflows, we’re connecting AI-driven iteration to the same computational environment engineers use to develop and validate their work. This allows teams to move from LLM generated code to executable, testable results within a consistent engineering framework.”
For more information, visit the Agentic AI for MATLAB and Simulink page.
MathWorks is the leading developer of mathematical computing software for designing engineered systems. MATLAB, the language of engineers and scientists, is a programming and numeric computation environment for algorithm development, data analysis, and visualization. Simulink is a block diagram environment for simulation and Model-Based Design of multidomain and embedded systems. MATLAB and Simulink provide a unified computing platform that empowers engineering teams to model, simulate, and deploy complex engineered systems spanning industries such as automotive, aerospace, energy, and medical devices. MATLAB and Simulink are fundamental teaching and research tools at the world's top universities and learning institutions. Founded in 1984, MathWorks employs more than 6,500 people in 34 offices globally, with headquarters in Natick, Massachusetts, USA. Visit www.mathworks.com.
MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
