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Run MATLAB directly from AI agents for coding, analysis, and debugging.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "matlab-mcp-core-server" yet — see the docs or source repo.
Use the MATLAB MCP server to run the following MATLAB code and return the execution result and key variable outputs: x = 0:0.1:10; y = sin(x); maxY = max(y);
Returns the code execution result, variable values, and explains the computed maxY.
Use the MATLAB MCP server to inspect why this function fails, identify the issue, and provide corrected MATLAB code: function y = f(x) y = x.^2 + ; end
Identifies the syntax error, explains the failure, and provides a runnable corrected function.
Use the MATLAB MCP server to analyze a numeric dataset, calculate the mean and standard deviation, and generate a line plot with a brief explanation. Data: [12, 15, 14, 18, 17, 16, 19]
Provides statistical results, the MATLAB analysis steps, and a description of the generated chart.
Automate COMSOL multiphysics modeling, solving, and result handling with AI agents.
Provide standardized math operations for precise calculations and numeric processing in AI workflows.
Build, debug, and manage software tasks with natural language across LLMs.
Connect AI agents to control local JupyterLab for coding and analysis.
Compile, run, and diagnose COMSOL Java model scripts in batch workflows.
Run dependent or parallel agent tasks and return structured results in one call.