Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
A high-level framework for building MCP servers in Python
Eleven MCP servers exposing a reproducible EPA SWMM stormwater-modelling workflow: model building, simulation runs with manifests and continuity checks, calibration, GIS/QGIS integration, design storms and climate scenarios, uncertainty analysis, plotting, and modelling memory. Config generators included for Codex, Claude Code, OpenClaw, and Hermes.