mcpField
E
EPANET MCP Server

EPANET MCP Server

Local
github.com/Applied-Artificial-Intelligence-EurecatScience & Education9Updated 21w ago

About EPANET MCP Server

EPANET MCP Server exposes EPANET water-network modeling through ePyT for MCP clients working on water-distribution analysis. It combines network inspection and parameter changes with hydraulic and water-quality simulations, plus isolated sessions for scenarios.

Key features

  1. 01Load and inspect network models
  2. 02Run hydraulic and quality simulations
  3. 03Change network parameters and controls
  4. 04Create demand and failure scenarios
  5. 05Keep scenarios in separate sessions

Use cases

  1. 01Analyze node pressures and pipe flows
  2. 02Assess the effects of demand changes
  3. 03Simulate leakage or contamination events
  4. 04Compare pump and valve failure scenarios

MCP support

The MCP server exposes ePyT tools for loading, inspecting, simulating, modifying, and creating scenarios for water networks. It supports stdio and SSE/HTTP transports.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"applied-artificial-intelligence-eurecat-epanet": {
"command": "uvx",
"args": [
"epanet-mcp-server"
]
}
}
}
Run commanduvx epanet-mcp-server

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiepanet-mcp-server0.1.2

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

EPANET MCP Server

Linter Pytest PyPI version MCP Registry

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.


Features

CategoryTools
Load & Inspectload_network, unload_network, list_networks, list_bundled_networks, get_network_summary, get_nodes, get_links, get_patterns, get_controls, get_curves, get_options
Simulaterun_hydraulic_simulation, run_quality_simulation, run_full_simulation, get_pressure_at_time, get_flow_at_time
Modifyset_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
Scenarioscreate_demand_perturbation, create_leakage_event, create_contamination_event, create_pressure_change_scenario, create_pump_control_scenario, create_valve_control_scenario, create_multi_failure_scenario

Requirements

  • Python ≥ 3.10
  • ePyT ≥ 2.0
  • mcp ≥ 1.0
pip install epyt mcp

Installation

git clone https://github.com/Applied-Artificial-Intelligence-Eurecat/epanet-mcp-server.git
cd epanet-mcp-server
pip install -e .

Running the server

stdio (for Claude Desktop / Claude Code)
epanet-mcp-server
# or
python -m epanet_mcp.server
SSE / HTTP
epanet-mcp-server --transport sse --port 8000

Claude Desktop configuration

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"
    }
  }
}

Claude Code (.mcp.json)

Place this in the root of your project or ~/.claude/:

{
  "mcpServers": {
    "epanet": {
      "command": "epanet-mcp-server",
      "args": []
    }
  }
}

Example interactions

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?"


Architecture

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.


Running the tests

pip install pytest
pytest tests/ -v

Bundled networks

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.


License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.