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MCP server for EPANET water-distribution network simulation and scenario analysis.
MCP server for EPANET water-distribution network simulation and scenario analysis.
Valid MCP server (1 strong, 4 medium validity signals). 2 code issues detected. 3 known CVEs in dependencies (0 critical, 3 high severity) Imported from the Official MCP Registry. 3 finding(s) downgraded by scanner intelligence.
5 files analyzed · 6 issues found
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-applied-artificial-intelligence-eurecat-epanet-mcp-server": {
"args": [
"epanet-mcp-server"
],
"command": "uvx"
}
}
}From the project's GitHub README.
A Model Context Protocol (MCP) server that exposes EPANET water-distribution network modelling capabilities through ePyT - the EPANET Python Toolkit.
Any MCP-compatible LLM can load water network models, run simulations, modify parameters, and generate complex what-if scenarios through natural language.
| Category | Tools |
|---|---|
| Load & Inspect | load_network, unload_network, list_networks, list_bundled_networks, get_network_summary, get_nodes, get_links, get_patterns, get_controls, get_curves, get_options |
| Simulate | run_hydraulic_simulation, run_quality_simulation, run_full_simulation, get_pressure_at_time, get_flow_at_time |
| Modify | set_node_base_demand, set_pattern, add_pattern, set_pipe_diameter, set_pipe_roughness, set_pipe_status, set_pipe_length, set_pump_status, set_pump_speed, set_pump_head_curve, set_valve_setting, set_valve_status, set_tank_parameters, set_reservoir_head, set_simulation_duration, set_hydraulic_timestep, set_quality_timestep, set_quality_type, add_control, delete_control, save_network |
| Scenarios | create_demand_perturbation, create_leakage_event, create_contamination_event, create_pressure_change_scenario, create_pump_control_scenario, create_valve_control_scenario, create_multi_failure_scenario |
pip install epyt mcp
git clone https://github.com/Applied-Artificial-Intelligence-Eurecat/epanet-mcp-server.git
cd epanet-mcp-server
pip install -e .
epanet-mcp-server
# or
python -m epanet_mcp.server
epanet-mcp-server --transport sse --port 8000
Add to ~/Library/Application Support/Claude/claude_desktop_config.json
(macOS) or the equivalent on your platform:
{
"mcpServers": {
"epanet": {
"command": "epanet-mcp-server",
"args": []
}
}
}
If not on PATH:
{
"mcpServers": {
"epanet": {
"command": "python",
"args": ["-m", "epanet_mcp.server"],
"cwd": "/path/to/epanet-mcp-server/src"
}
}
}
.mcp.json)Place this in the root of your project or ~/.claude/:
{
"mcpServers": {
"epanet": {
"command": "epanet-mcp-server",
"args": []
}
}
}
Once the server is connected, you can ask things like:
"Load Net1.inp and show me a summary of the network."
"Run a full simulation and tell me which node has the lowest pressure at hour 12."
"Double the base demand at junction 11 and re-run the simulation. How does pressure change?"
"Simulate a burst on pipe 10 with a 20% leakage fraction."
"Inject 10 mg/L of chlorine at node 11 between hours 1 and 3 and show me the contamination spread."
"What happens to pressures if the reservoir head drops from 150 m to 120 m?"
"Schedule Pump 9 to start at 06:00 and stop at 22:00."
"Close pipes 10 and 11 and the pump simultaneously. Where are service disruptions?"
src/epanet_mcp/
├── server.py # FastMCP server – tool registration + entry point
├── session.py # Thread-safe registry of open ePyT sessions
├── utils.py # numpy → Python serialisation helpers
└── tools/
├── inspection.py # load / inspect network models
├── simulation.py # run hydraulic & quality simulations
├── modification.py# in-memory parameter changes
└── scenarios.py # what-if scenario generators (clone + modify + run)
Session model: Each loaded network lives in a named session. Scenario tools automatically clone the source session into a new independent session so the baseline network is never mutated.
pip install pytest
pytest tests/ -v
ePyT ships with many standard benchmark networks including Net1, Net2, L-TOWN,
Hanoi, Anytown, Balerma and others. Use list_bundled_networks to discover
them all.
MIT
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