# Water Chemistry MCP Server

> Use this tool when you need to model and optimize industrial wastewater treatment processes, such as chemical equilibrium and kinetic reactions, to solve problems like lime softening and phosphorus removal. It provides 17 advanced tools for simulation and optimization, accepting input parameters like water chemistry data and producing output results like treatment efficacy and optimized process conditions. Ideal for use in contexts where accurate wastewater treatment modeling is critical, such as environmental engineering and industrial process design.

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

## Description

An advanced MCP server powered by PHREEQC for industrial wastewater treatment modeling, offering 17 tools for chemical equilibrium, kinetic reactions, and optimization like lime softening and phosphorus removal.

## 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:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q1etzqorx5)
- **Repository:** <https://github.com/puran-water/water-chemistry-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-water-chemistry-mcp"
    }
  }
}
```

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