Featured

Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw

QwikClaw sets up and runs an always-on OpenClaw agent for you. One click, no config files, no server setup.

Deploy now
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free
Reach 47,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here

Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

MCP server for EPANET water-distribution network simulation and scenario analysis.

README.md

EPANET MCP Server

![Linter](https://github.com/Applied-Artificial-Intelligence-Eurecat/epanet-mcp-server/actions/workflows/linter.yml) ![Pytest](https://github.com/Applied-Artificial-Intelligence-Eurecat/epanet-mcp-server/actions/workflows/test.yml) ![PyPI version](https://pypi.org/project/epanet-mcp-server/) ![MCP Registry](https://registry.modelcontextprotocol.io/?q=io.github.Applied-Artificial-Intelligence-Eurecat%2Fepanet-mcp-server)

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

| 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 |

---

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

<!-- mcp-name: io.github.Applied-Artificial-Intelligence-Eurecat/epanet-mcp-server -->

See related servers & alternatives →

Related MCP servers

Browse all →

Related guides

Hand-picked reading to help you choose and use Other servers.