# QSDsan Engine MCP

> Use this tool when you need to simulate wastewater treatment processes using natural language inputs, and integrate with various systems via dual MCP and CLI adapters. It solves problems related to wastewater management, such as optimizing treatment processes and predicting outcomes. The QSDsan Engine MCP takes in natural language descriptions of treatment processes and outputs simulated results, making it ideal for applications where flexibility and ease of use are crucial.

Canonical page: https://skillsregistry.net/skills/puran-water-qsdsan-engine-mcp  
JSON: https://api.skillsregistry.net/v1/skills/puran-water-qsdsan-engine-mcp

## Description

Enables AI agents to simulate wastewater treatment processes using natural language, with dual MCP and CLI adapters for flexible integration.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u5l590yd8u)
- **Repository:** <https://github.com/puran-water/qsdsan-engine-mcp>

## 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": "puran-water-qsdsan-engine-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/puran-water-qsdsan-engine-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/puran-water-qsdsan-engine-mcp/pull`

---
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