MCP server for visible COMSOL automation that attaches to a running COMSOL Multiphysics Server, enabling shared model state with the Desktop GUI for collaborative modeling.
Enables AI agents to read and write .mph model files, control the COMSOL desktop GUI in real time, and run complete modeling, meshing, solving, and post-processing workflows.
An MCP server that provides tools for reproducible COMSOL Multiphysics batch workflows, enabling AI agents to compile, run, and diagnose Java API model scripts with COMSOL.
Enables AI agents to automate COMSOL Multiphysics simulations, including model management, geometry building, physics configuration, meshing, solving, and results visualization via the MCP protocol.
Enables AI agents to automate COMSOL Multiphysics simulations, including model management, geometry building, physics configuration, meshing, solving, and results visualization through the MCP protocol.
Enables AI agents to automate COMSOL Multiphysics simulations, covering model management, geometry building, physics configuration, meshing, solving, and results visualization via the Model Context Protocol.
Enables AI agents to automate multiphysics simulations in COMSOL Multiphysics, covering model management, geometry building, physics configuration, and results visualization. It supports complex simulation workflows through the MCP protocol and includes integrated knowledge retrieval for documentation and troubleshooting.
Enables AI-driven COMSOL batch jobs on the Harvard FASRC cluster, allowing users to run COMSOL models, manage jobs, and fetch results directly through natural language.
Knowledge-based MCP server for photonics simulation engineering, providing rules, bugs, checklists, and tool recommendations for Lumerical FDTD/MODE/FDE, HFSS, COMSOL, and PyAEDT.
An MCP server for COMSOL Multiphysics that enables AI agents to perform flexible pressure sensor simulation, including DXF analysis, contact model building, parameter sweeping, and result export using natural language.