Enables LLMs to load, simulate, modify, and generate what-if scenarios for EPANET water-distribution network models through natural language, leveraging the ePyT Python Toolkit.
Lets any MCP-compatible AI assistant read and edit Autodesk Civil 3D drawings through tools for alignments, surfaces, corridors, pipe networks, quantity takeoff, and cut/fill, using a local bridge plugin and named pipes.
Enables AI clients to interact with EDA projects via natural language by wrapping EDI's gRPC interface, CLI tools, and ANSYS HFSS as MCP tools supporting SSE and stdio transports.
A water treatment process simulation engine that exposes WaterTAP capabilities through MCP and CLI adapters, enabling AI agents to build, solve, and optimize flowsheets using natural language.
MCP server that enables natural-language-driven, headless HEC-RAS modeling, letting agents inspect, edit, run, compare, and plot 1D/2D hydraulic models without the GUI.
Enables AI assistants to create, edit, and simulate EnergyPlus building energy models via natural language. Supports schema exploration, model editing, simulation execution, and documentation search.