# Smart Irrigation MCP Server

> Use this tool when you need to optimize irrigation systems using real-time soil sensor data and automated valve controls. It solves problems related to water waste, crop yield, and soil health by providing AI-driven agronomic decisions with built-in safety features. The tool accepts soil sensor metrics as inputs and outputs irrigation valve controls, making it ideal for precision agriculture and smart farming applications.

Canonical page: https://skillsregistry.net/skills/nsastry2-the-automated-smart-irrigation-and-soil-health-pipeline  
JSON: https://api.skillsregistry.net/v1/skills/nsastry2-the-automated-smart-irrigation-and-soil-health-pipeline

## Description

Exposes real-time soil sensor metrics as MCP Resources and irrigation valve controls as MCP Tools, enabling AI-driven agronomic decisions with built-in safety guardrails.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f0ow1d0dxu)
- **Repository:** <https://github.com/nsastry2/The-Automated-Smart-Irrigation-and-Soil-Health-Pipeline>

## 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": "nsastry2-the-automated-smart-irrigation-and-soil-health-pipeline"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nsastry2-the-automated-smart-irrigation-and-soil-health-pipeline` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nsastry2-the-automated-smart-irrigation-and-soil-health-pipeline/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