# KETI FLOW MCP

> Use this tool when you need to optimize energy consumption in fluid or air flow systems by determining the ideal control settings for blowers and pumps. It solves problems of excessive power usage by providing optimal control values based on required flow rates, using machine learning models trained on operational data. The tool takes in flow rate requirements as input and outputs optimal control values for blowers and pumps.

Canonical page: https://skillsregistry.net/skills/codeninja1126-keti-flow-mcp  
JSON: https://api.skillsregistry.net/v1/skills/codeninja1126-keti-flow-mcp

## Description

Enables querying optimal control values (angle for blowers, control for pumps) to minimize power given a required flow rate, using machine learning models trained on pump/fan operation data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ezd8yec19k)
- **Repository:** <https://github.com/CodeNinja1126/KETI_FLOW_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": "codeninja1126-keti-flow-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/codeninja1126-keti-flow-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/codeninja1126-keti-flow-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