# epanet-mcp-server

> epanet-mcp-server — applied-artificial-intelligence-eurecat-epanet-mcp-server. Use this tool when you need to analyze and simulate water-distribution networks through natural language inputs, solving problems such as predicting hydraulic behavior and optimizing network design. It takes in natural language queries and EPANET model files as inputs, and outputs simulation results and modified network models. Ideal for use cases where water utility operators and planners require rapid what-if scenario analysis and decision support.

Canonical page: https://skillsregistry.net/skills/applied-artificial-intelligence-eurecat-epanet-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/applied-artificial-intelligence-eurecat-epanet-mcp-server

## Description

Enables LLMs to load, simulate, modify, and generate what-if scenarios for EPANET water-distribution network models through natural language, leveraging the ePyT Python Toolkit.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pvgl1afxpo)
- **Repository:** <https://github.com/Applied-Artificial-Intelligence-Eurecat/epanet-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "applied-artificial-intelligence-eurecat-epanet-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/applied-artificial-intelligence-eurecat-epanet-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/applied-artificial-intelligence-eurecat-epanet-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt