Enables natural language control of AutoCAD LT through AutoLISP code generation and execution, allowing users to create engineering drawings with conversational prompts.
Generate Control System Architecture (CSA) diagrams using PlantUML via the Model Context Protocol (MCP). Supports ISA-95 Purdue model, industrial symbols, and multiple protocols.
Enables language-model agents to create, modify, analyze, and persist process-engineering diagrams (P\&IDs and flowsheets) in machine-readable formats via the Model Context Protocol.
Enables natural language control of anaerobic digestion modeling using the internationally recognized ADM1 standard. Supports wastewater treatment simulation for process design and optimization with AI-powered feedstock analysis, multi-reactor configurations, and professional report generation.
An advanced MCP server powered by PHREEQC for industrial wastewater treatment modeling, offering 17 tools for chemical equilibrium, kinetic reactions, and optimization like lime softening and phosphorus removal.
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.
Provides AI agents with physics-based corrosion engineering calculations, from rapid handbook lookups to mechanistic electrochemical models with dual-tier pitting assessment for material compatibility screening and corrosion rate prediction.
Enables anaerobic digester design from feedstock characterization to dynamic simulation using a complete mADM1 model with 63 components, including AI-powered state generation and thermodynamic pH solving.
An intelligent MCP server for the automated design and sizing of aerobic biological wastewater treatment systems using membrane bioreactor (MBR) technology. It leverages ASM2d kinetics to perform mass balance calculations, flowsheet selection, and generate detailed engineering reports.