# LeafEngines

> Use this tool when you need to optimize crop yields and farming practices with data-driven insights. LeafEngines provides agricultural intelligence through soil analysis, crop recommendations, and weather forecasts, solving problems related to crop management and resource allocation. It accepts API keys as input and outputs actionable recommendations, making it ideal for farmers and agricultural professionals seeking to improve their decision-making processes.

Canonical page: https://skillsregistry.net/skills/qwarranto-leafengines  
JSON: https://api.skillsregistry.net/v1/skills/qwarranto-leafengines

## Description

LeafEngines provides AI agents with agricultural intelligence tools including soil analysis, crop recommendations, and weather forecasts. The server connects to the LeafEngines API and offers a free TurboQuant crop capability alongside paid tools requiring an API key from the soilsidekickpro.com platform.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/qwarranto-leafengines)
- **Repository:** <https://github.com/qwarranto/leafengines-claude-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": "qwarranto-leafengines"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qwarranto-leafengines` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qwarranto-leafengines/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
